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Where do SEV Subnets actually fit into Cloud Engines? We asked Björn Tackmann. Run a Cloud Engine on SEV nodes and you can verify your data stays encrypted the whole time it's being processed. Confidentiality enforced by the hardware. Full conversation below.

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DFINITY Foundation

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SEV Subnets are now live on the Internet Computer. We sat down with Björn Tackmann to understand what they actually are and why they matter. He starts with the problem: standard cloud infrastructure writes your data to memory in plaintext. Anyone with access to the hardware can read it. That's not a flaw in any specific product. It's how computers work. SEV Subnets are the Internet Computer's answer to that. Full conversation below.
1:00

SEV Subnets are now live on the Internet Computer. We sat down with Björn Tackmann to understand what they actually are and why they matter. He starts with the problem: standard cloud infrastructure writes your data to memory in plaintext. Anyone with access to the hardware can read it. That's not a flaw in any specific product. It's how computers work. SEV Subnets are the Internet Computer's answer to that. Full conversation below.

DFINITY Foundation

36,362 görüntüleme • 24 gün önce

One of the key guarantees of SEV Subnets on the Internet Computer: the node operators running the hardware cannot access your data. Not as a policy commitment. Not via audit. As a technical property of how the subnet works. Björn Tackmann explains what that actually means, and why it changes what you can build on cloud infrastructure. Full interview below.
1:15

One of the key guarantees of SEV Subnets on the Internet Computer: the node operators running the hardware cannot access your data. Not as a policy commitment. Not via audit. As a technical property of how the subnet works. Björn Tackmann explains what that actually means, and why it changes what you can build on cloud infrastructure. Full interview below.

DFINITY Foundation

22,808 görüntüleme • 18 gün önce

Internet Computer Just Activated a New Level of Security... DFINITY Foundation officially launches SEV Subnets on the Internet Computer to eliminate plaintext data exposure at the hardware level. This integration uses Secure Encrypted Virtualization (SEV) to ensure sensitive data remains encrypted even when viewed by entities with direct physical access to the server hardware. Engineering Lead Björn Tackmann confirms that this upgrade resolves a fundamental vulnerability in traditional cloud computing, in which data is processed in plaintext within the memory layer.
0:30

Internet Computer Just Activated a New Level of Security... DFINITY Foundation officially launches SEV Subnets on the Internet Computer to eliminate plaintext data exposure at the hardware level. This integration uses Secure Encrypted Virtualization (SEV) to ensure sensitive data remains encrypted even when viewed by entities with direct physical access to the server hardware. Engineering Lead Björn Tackmann confirms that this upgrade resolves a fundamental vulnerability in traditional cloud computing, in which data is processed in plaintext within the memory layer.

BSCN

32,437 görüntüleme • 24 gün önce

“I want all my nodes in Germany.” “I want GDPR compliance across Europe.” “I want to run on 7 Amazon data centers.” Cloud engines on DFINITY Foundation will let you pick exactly where your apps run. And here’s the big unlock: the Internet Computer will run cloud-on-cloud — deploying over Amazon, Google, or both. Your cloud. Your rules.
1:05

“I want all my nodes in Germany.” “I want GDPR compliance across Europe.” “I want to run on 7 Amazon data centers.” Cloud engines on DFINITY Foundation will let you pick exactly where your apps run. And here’s the big unlock: the Internet Computer will run cloud-on-cloud — deploying over Amazon, Google, or both. Your cloud. Your rules.

DFINITY Foundation

15,730 görüntüleme • 4 ay önce

Dear ICP community, the Internet Computer has now been running strong for 5 years 👏👏👏 Here is a celebratory preview of ICP "cloud engines," the sovereign frontier cloud technology the network shall soon provide from Main points: — Cloud engines enable anyone to spin up their own sovereign frontier cloud. The technology involves an extraordinary inventive step, in which cloud is created from a mathematically secure network of nodes. The nodes run as part of the Internet Computer network ( but are selected and configured by the cloud engine's owner. — The frontier cloud provided by engines is strongly focused on enabling AI agents to build and update online applications and services for us. The world is changing fast, and nearly all new online apps and services are already being built with the help of AI, and thus cloud engines target the future of cloud. — Software hosted on cloud engines is tamperproof, which means that it is immune to infrastructure hacks, because it runs inside a mathematically secure network protocol, rather than on computers directly. This means that AI agents, and those building with them, don't need to have a security team in the loop, or to trust someone else's security team. This is crucial, because in the future, non technical people will demand the freedom to build with full automation — where they just need to issue instructions to AI about what to build, and don't need to worry about anything or anyone else. Of course, apps and services running on engines are also vastly safer from the new breed of hacker being enabled by frontier AI. (The cloud engines themselves are also "tamperproof." Even if a hacker gains physical access to some portion of a cloud engine's nodes, and can make arbitrary changes, the computations and data of the hosted apps and services cannot be corrupted or interrupted so long as the network's fault bounds aren't exceeded. The recent hack of Vercel, a major cloud platform, which gave hackers access to the apps it hosted, provides additional perspective on the importance of this advantage.) — Software hosted on cloud engines is guaranteed to run, so long as a sufficient number of the engine's nodes are running. This means that AI can build applications and services without the need to have a human systems admin team constantly tinkering with the underlying platform to keep it running, which is again crucial, because in the future, non technical people will expect the freedom to use AI to build without the support of others. — New frontier programming language technology, in the form of the Motoko language developed by Caffeine Labs, leverages seminal "orthogonal persistence" technology that unifies program logic and data to deliver further unlocks for AI (Motoko is the first computer language being developed that targets agents that are writing software rather than humans engineers per se). Nowadays, AI can build and update production apps at a prodigious rate, even at the speed of conversation. But it can also make mistakes, and there's a risk that an update it creates might be "lossy" in the sense it causes some transformed data to be lost. Again, in this new world, it's both undesirable and impractical for everyone to have to have a systems admin team on-hand to detect lossy updates and roll them back, but Motoko provides a solution: it can detect new software updates are lossy before they are applied, reducing potentially catastrophic errors by AI to harmless coding retries. — Software hosted on cloud engines is "serverless" but unlike traditional serverless software, directly it directly incorporates data through "orthogonal persistence." Another key purpose is simplify backend software logic and fuel the modeling power of AI by increasing abstraction (sorry for the technical language!!!). Put simply, this enables AI to produce more sophisticated backends, faster, and at dramatically lower costs, as measured by the number AI API tokens consumed during coding. (Tip for the technical: orthogonal persistence is a new paradigm where "the program is the database," and data lives inside program variables, which is possible because it's as if hosted software runs forever in persistent memory). — An expanding database of skills at shall make it possible to develop and directly deploy apps and services to your cloud engines directly from Claude Code, Perplexity, Codex and other AI platforms. Further, your account on can be connected, so that new apps and updates created through conversation automatically appear hosted from your cloud engine. In the future, R&D is going to be very seamless. You converse with AI, and your secure and unstoppable apps or services are created or updated. Cloud engines are designed to directly support this "self-writing cloud" future where we can work hands-free. — Tech sovereignty is becoming a huge issue worldwide, with governments and corporations seeking to create sovereign tech stacks owing to geopolitical tensions. Increasingly, people are realizing that tech provided by foreign nations can come with hidden backdoors and kills switches, from the base platform, right up through hosted apps and services. ICP technology is open source, and those building on ICP using AI own their own source code. When you have the source code, you can verify that there are no backdoors, and when you own the source code thanks to AI, you can update it at will, freeing you from vendor lock-in. But cloud engines take sovereignty much further... — You create a cloud engine by selecting the nodes that will be combined. You can choose the class of nodes used, and their number, but more importantly, you can choose who operates the nodes, and where they are located. Almost any configuration is possible, because the Internet Computer scales the security privileges afforded to hosted software within the network according to configuration (software hosted on cloud engines can directly interoperate with software on other engines and traditional subnets, but base restrictions are applied according to security rules). A cloud engine can be created within a region such as Europe, to comply with regs such as GDPR, or completely within a sovereign state like Switzerland or Pakistan. But cloud engines go further still... — Sovereignty is also about freedom from vendor lock-in. Cloud engines are essentially ICP (Internet Computer Protocol) network configurations, and this means the underlying compute nodes they combine can be swapped out without interrupting their hosted apps and services. This is a big deal. In addition, cloud engines now support nodes that are instances running on Big Tech's clouds, in addition to nodes that are dedicated specialized hardware, as per the Gen I and Gen II nodes that dominate the Internet Computer today. For example, it is possible to have an engine running across different AWS data centers, say, and then reconfigure the engine to run across a mixture of AWS, Google, Azure and Hetzner for even more resilience, without the users of hosted apps and services noticing a thing. That's true freedom. — Sovereign AI is becoming increasingly important too, and cloud engines allow special "AI nodes" to be added to them, so that hosted software can perform inference on hardware provisioned by the owner from a location the owner has selected. Even though the AI nodes are only accessible within the cloud engine, they can still benefit from the forthcoming Internet Intelligence Gateway (IG), which will make it possible to validate inference performed on key frontier open weights LLMs, even when the inference is performed on completely independent AI clouds. When the results of inference are received, this technology can verify that neither the prompt+context (input) nor the inference result (output) have been modified, and that the results were produced by the precise LLM expected. This ensures that AI clouds don't cheat by running inference on cheaper models than are being paid for, and bad actors aren't modifying the inputs or outputs to surreptitiously insert advertising into results, say, or change facts, or insert malware when code is being generated. What's super cool about this technology is the cost of the verification is scalable. A very valuable additional security can be achieved with only 1-2% of extra cost. — Scaling apps and services when they hit capacity limits is another thorny problem that cloud engines help the world address. Engines make scaling possible without rewriting or reconfiguring software. The query workload capacity of hosted software can be horizontally scaled simply by adding new nodes to an engine, and nodes can also be added in geographical proximity to demand. Meanwhile, update workload capacity can first be scaled-up by swapping an engine's nodes out for the next class up, and then when no larger class of node is available, horizontally scaled-out by "splitting" the engine into two, which doubles available capacity. (Technical tip: horizontally scaling update capacity by splitting engines requires multi-canister architectures). — For those who have been following how Caffeine builds apps that can efficiently store large numbers of files, I should mention that apps built on cloud engines will also support the new ICP Blob Storage cloud network (since cloud engines currently have up to about 3 TB of memory, which apps storing large amounts of files can easily exceed). We are also working on allowing blob storage nodes to be added to cloud engines, to enable sovereign mass blob storage within an engine, similarly to how AI nodes can be added currently. — Lastly, but certainly not least, I should mention that cloud engines are multi-blockchain capable, and ready for digital assets, thanks to the clever math at their core. For example, an e-commerce service built on a cloud engine can securely accept and custody stablecoin payments, or a multi-chain DEX could be hosted. Further, engines can support software autonomy (software orchestrated and controlled by other autonomous software, in a decentralized way) and can themselves be orchestrated by SNS technology, and thus run autonomously too. Today, though, the focus is on *mainstream* cloud. This year, the cloud industry will generate approximately one trillion dollars in revenue. That number is already huge, but is expected to grow to two trillion dollars by 2030. After years of continuous development, which have seen more than $500m spent on R&D, the Internet Computer network is now tacking directly toward this mainstream cloud market with cloud engine technology. In their first version, cloud engines are not meant to be a cloud panacea. For example, currently they are not ideal for working with big data. You should use something like DataBricks for that. Cloud engines are carefully targeted at enabling AI to produce traditional online applications and services, including SaaS, in a safer and more productive way, which represents a new market segment with tremendous potential. Of course, DFINITY will continue to work relentlessly to push forward ICP's capabilities, so expect further developments. It's worth mentioning that this cloud segment isn't just about creating new apps and services using AI, it's also about replacing legacy systems and apps built on super expensive SaaS services. Caffeine Labs is working to produce technology (Caffeine Snorkel) that can study an enterprise's legacy systems and app built on SaaS, create replacement systems and apps, and migrate the data, while supporting key stakeholders through the process over email and chat, with full automation. Thus the legacy systems and SaaS markets shall also be addressed by cloud engines. Zooming out, and reasoning in a more metaphysical way, we believe, as we always have, that there is room for a new kind of cloud created by mathematical networks, that provides seminal advances in the fields of security and resilience, as well as true sovereignty and freedom from lock-in. That this same technology, with the help of additional technologies like orthogonal persistence and Motoko, enables AI to build for us without the need for so much oversight, and to create more backend sophistication while consuming fewer AI API tokens, enables ICP to bring game-changing advances to the world. Cloud engines will work synergistically with the Intelligence Gateway, which will enable apps and services running on engines to seamlessly leverage AI, wherever that AI is running, while providing verifiability at extremely low cost for open weights frontier models. We believe that cloud engines represent an inflection point in the storied history of the Internet Computer project, and I'm very proud to be sharing the details with you on the network's fifth birthday 💪 I'll be back with more news soon!!
19:06

Dear ICP community, the Internet Computer has now been running strong for 5 years 👏👏👏 Here is a celebratory preview of ICP "cloud engines," the sovereign frontier cloud technology the network shall soon provide from Main points: — Cloud engines enable anyone to spin up their own sovereign frontier cloud. The technology involves an extraordinary inventive step, in which cloud is created from a mathematically secure network of nodes. The nodes run as part of the Internet Computer network ( but are selected and configured by the cloud engine's owner. — The frontier cloud provided by engines is strongly focused on enabling AI agents to build and update online applications and services for us. The world is changing fast, and nearly all new online apps and services are already being built with the help of AI, and thus cloud engines target the future of cloud. — Software hosted on cloud engines is tamperproof, which means that it is immune to infrastructure hacks, because it runs inside a mathematically secure network protocol, rather than on computers directly. This means that AI agents, and those building with them, don't need to have a security team in the loop, or to trust someone else's security team. This is crucial, because in the future, non technical people will demand the freedom to build with full automation — where they just need to issue instructions to AI about what to build, and don't need to worry about anything or anyone else. Of course, apps and services running on engines are also vastly safer from the new breed of hacker being enabled by frontier AI. (The cloud engines themselves are also "tamperproof." Even if a hacker gains physical access to some portion of a cloud engine's nodes, and can make arbitrary changes, the computations and data of the hosted apps and services cannot be corrupted or interrupted so long as the network's fault bounds aren't exceeded. The recent hack of Vercel, a major cloud platform, which gave hackers access to the apps it hosted, provides additional perspective on the importance of this advantage.) — Software hosted on cloud engines is guaranteed to run, so long as a sufficient number of the engine's nodes are running. This means that AI can build applications and services without the need to have a human systems admin team constantly tinkering with the underlying platform to keep it running, which is again crucial, because in the future, non technical people will expect the freedom to use AI to build without the support of others. — New frontier programming language technology, in the form of the Motoko language developed by Caffeine Labs, leverages seminal "orthogonal persistence" technology that unifies program logic and data to deliver further unlocks for AI (Motoko is the first computer language being developed that targets agents that are writing software rather than humans engineers per se). Nowadays, AI can build and update production apps at a prodigious rate, even at the speed of conversation. But it can also make mistakes, and there's a risk that an update it creates might be "lossy" in the sense it causes some transformed data to be lost. Again, in this new world, it's both undesirable and impractical for everyone to have to have a systems admin team on-hand to detect lossy updates and roll them back, but Motoko provides a solution: it can detect new software updates are lossy before they are applied, reducing potentially catastrophic errors by AI to harmless coding retries. — Software hosted on cloud engines is "serverless" but unlike traditional serverless software, directly it directly incorporates data through "orthogonal persistence." Another key purpose is simplify backend software logic and fuel the modeling power of AI by increasing abstraction (sorry for the technical language!!!). Put simply, this enables AI to produce more sophisticated backends, faster, and at dramatically lower costs, as measured by the number AI API tokens consumed during coding. (Tip for the technical: orthogonal persistence is a new paradigm where "the program is the database," and data lives inside program variables, which is possible because it's as if hosted software runs forever in persistent memory). — An expanding database of skills at shall make it possible to develop and directly deploy apps and services to your cloud engines directly from Claude Code, Perplexity, Codex and other AI platforms. Further, your account on can be connected, so that new apps and updates created through conversation automatically appear hosted from your cloud engine. In the future, R&D is going to be very seamless. You converse with AI, and your secure and unstoppable apps or services are created or updated. Cloud engines are designed to directly support this "self-writing cloud" future where we can work hands-free. — Tech sovereignty is becoming a huge issue worldwide, with governments and corporations seeking to create sovereign tech stacks owing to geopolitical tensions. Increasingly, people are realizing that tech provided by foreign nations can come with hidden backdoors and kills switches, from the base platform, right up through hosted apps and services. ICP technology is open source, and those building on ICP using AI own their own source code. When you have the source code, you can verify that there are no backdoors, and when you own the source code thanks to AI, you can update it at will, freeing you from vendor lock-in. But cloud engines take sovereignty much further... — You create a cloud engine by selecting the nodes that will be combined. You can choose the class of nodes used, and their number, but more importantly, you can choose who operates the nodes, and where they are located. Almost any configuration is possible, because the Internet Computer scales the security privileges afforded to hosted software within the network according to configuration (software hosted on cloud engines can directly interoperate with software on other engines and traditional subnets, but base restrictions are applied according to security rules). A cloud engine can be created within a region such as Europe, to comply with regs such as GDPR, or completely within a sovereign state like Switzerland or Pakistan. But cloud engines go further still... — Sovereignty is also about freedom from vendor lock-in. Cloud engines are essentially ICP (Internet Computer Protocol) network configurations, and this means the underlying compute nodes they combine can be swapped out without interrupting their hosted apps and services. This is a big deal. In addition, cloud engines now support nodes that are instances running on Big Tech's clouds, in addition to nodes that are dedicated specialized hardware, as per the Gen I and Gen II nodes that dominate the Internet Computer today. For example, it is possible to have an engine running across different AWS data centers, say, and then reconfigure the engine to run across a mixture of AWS, Google, Azure and Hetzner for even more resilience, without the users of hosted apps and services noticing a thing. That's true freedom. — Sovereign AI is becoming increasingly important too, and cloud engines allow special "AI nodes" to be added to them, so that hosted software can perform inference on hardware provisioned by the owner from a location the owner has selected. Even though the AI nodes are only accessible within the cloud engine, they can still benefit from the forthcoming Internet Intelligence Gateway (IG), which will make it possible to validate inference performed on key frontier open weights LLMs, even when the inference is performed on completely independent AI clouds. When the results of inference are received, this technology can verify that neither the prompt+context (input) nor the inference result (output) have been modified, and that the results were produced by the precise LLM expected. This ensures that AI clouds don't cheat by running inference on cheaper models than are being paid for, and bad actors aren't modifying the inputs or outputs to surreptitiously insert advertising into results, say, or change facts, or insert malware when code is being generated. What's super cool about this technology is the cost of the verification is scalable. A very valuable additional security can be achieved with only 1-2% of extra cost. — Scaling apps and services when they hit capacity limits is another thorny problem that cloud engines help the world address. Engines make scaling possible without rewriting or reconfiguring software. The query workload capacity of hosted software can be horizontally scaled simply by adding new nodes to an engine, and nodes can also be added in geographical proximity to demand. Meanwhile, update workload capacity can first be scaled-up by swapping an engine's nodes out for the next class up, and then when no larger class of node is available, horizontally scaled-out by "splitting" the engine into two, which doubles available capacity. (Technical tip: horizontally scaling update capacity by splitting engines requires multi-canister architectures). — For those who have been following how Caffeine builds apps that can efficiently store large numbers of files, I should mention that apps built on cloud engines will also support the new ICP Blob Storage cloud network (since cloud engines currently have up to about 3 TB of memory, which apps storing large amounts of files can easily exceed). We are also working on allowing blob storage nodes to be added to cloud engines, to enable sovereign mass blob storage within an engine, similarly to how AI nodes can be added currently. — Lastly, but certainly not least, I should mention that cloud engines are multi-blockchain capable, and ready for digital assets, thanks to the clever math at their core. For example, an e-commerce service built on a cloud engine can securely accept and custody stablecoin payments, or a multi-chain DEX could be hosted. Further, engines can support software autonomy (software orchestrated and controlled by other autonomous software, in a decentralized way) and can themselves be orchestrated by SNS technology, and thus run autonomously too. Today, though, the focus is on *mainstream* cloud. This year, the cloud industry will generate approximately one trillion dollars in revenue. That number is already huge, but is expected to grow to two trillion dollars by 2030. After years of continuous development, which have seen more than $500m spent on R&D, the Internet Computer network is now tacking directly toward this mainstream cloud market with cloud engine technology. In their first version, cloud engines are not meant to be a cloud panacea. For example, currently they are not ideal for working with big data. You should use something like DataBricks for that. Cloud engines are carefully targeted at enabling AI to produce traditional online applications and services, including SaaS, in a safer and more productive way, which represents a new market segment with tremendous potential. Of course, DFINITY will continue to work relentlessly to push forward ICP's capabilities, so expect further developments. It's worth mentioning that this cloud segment isn't just about creating new apps and services using AI, it's also about replacing legacy systems and apps built on super expensive SaaS services. Caffeine Labs is working to produce technology (Caffeine Snorkel) that can study an enterprise's legacy systems and app built on SaaS, create replacement systems and apps, and migrate the data, while supporting key stakeholders through the process over email and chat, with full automation. Thus the legacy systems and SaaS markets shall also be addressed by cloud engines. Zooming out, and reasoning in a more metaphysical way, we believe, as we always have, that there is room for a new kind of cloud created by mathematical networks, that provides seminal advances in the fields of security and resilience, as well as true sovereignty and freedom from lock-in. That this same technology, with the help of additional technologies like orthogonal persistence and Motoko, enables AI to build for us without the need for so much oversight, and to create more backend sophistication while consuming fewer AI API tokens, enables ICP to bring game-changing advances to the world. Cloud engines will work synergistically with the Intelligence Gateway, which will enable apps and services running on engines to seamlessly leverage AI, wherever that AI is running, while providing verifiability at extremely low cost for open weights frontier models. We believe that cloud engines represent an inflection point in the storied history of the Internet Computer project, and I'm very proud to be sharing the details with you on the network's fifth birthday 💪 I'll be back with more news soon!!

dom | icp

262,818 görüntüleme • 2 ay önce

Why Onchain Virtual Machines Limit Crypto? | Weekend Learning ☁️ Sreeram Kannan explains why onchain VMs fall short and how verifiable off-chain compute unlocks the ability to run any program, on any hardware, with cryptograde guarantees. EigenCloud gives you: ✅ Full flexibility of modern cloud platforms ✅ Verifiable off-chain compute returned onchain ✅ Support for real workloads: gaming, social, AI agents and more A cloud where you bring your stack and the chain brings the trust. A cloud you can verify, not just trust.
1:06

Why Onchain Virtual Machines Limit Crypto? | Weekend Learning ☁️ Sreeram Kannan explains why onchain VMs fall short and how verifiable off-chain compute unlocks the ability to run any program, on any hardware, with cryptograde guarantees. EigenCloud gives you: ✅ Full flexibility of modern cloud platforms ✅ Verifiable off-chain compute returned onchain ✅ Support for real workloads: gaming, social, AI agents and more A cloud where you bring your stack and the chain brings the trust. A cloud you can verify, not just trust.

EigenCloud

56,699 görüntüleme • 7 ay önce

Internet Computer’s Cloud Engines Bring AI-Powered Apps Without Human Input In a post today, the DFINITY Foundation (DFINITY Foundation) spotlighted a core advantage of its new Cloud Engines on the Internet Computer. According to the post, Cloud Engines enables AI to build and update production apps safely, without constant human oversight. Traditional clouds require teams to fix infrastructure hacks, downtime, and data-loss errors after AI-driven updates. Cloud Engines eliminates these risks through tamperproof protocol-level security and guaranteed uptime (even if nodes fail). The result: - Sovereign, always-on frontier cloud where AI agents create tamperproof SaaS directly on-chain. - No sysadmins. - No vendor lock-in. - Full ownership by the builder. Announced around ICP’s 5-year anniversary, Cloud Engines are designed for the AI era. This positions the ICP as the go-to decentralized cloud for the next wave of autonomous AI development.
0:30

Internet Computer’s Cloud Engines Bring AI-Powered Apps Without Human Input In a post today, the DFINITY Foundation (DFINITY Foundation) spotlighted a core advantage of its new Cloud Engines on the Internet Computer. According to the post, Cloud Engines enables AI to build and update production apps safely, without constant human oversight. Traditional clouds require teams to fix infrastructure hacks, downtime, and data-loss errors after AI-driven updates. Cloud Engines eliminates these risks through tamperproof protocol-level security and guaranteed uptime (even if nodes fail). The result: - Sovereign, always-on frontier cloud where AI agents create tamperproof SaaS directly on-chain. - No sysadmins. - No vendor lock-in. - Full ownership by the builder. Announced around ICP’s 5-year anniversary, Cloud Engines are designed for the AI era. This positions the ICP as the go-to decentralized cloud for the next wave of autonomous AI development.

BSCN

27,616 görüntüleme • 1 ay önce

INTERNET COMPUTER SET TO DEMO "CLOUD ENGINES" DFINITY Foundation prepares to unveil "cloud engines" on May 10, 2026, marking the fifth anniversary of the Internet Computer network. According to the Founder's statement, the protocol will also reveal agentic builds, AI nodes, alongside other new features... The demonstration features a full-stack compute technology, including autonomous agentic builds and dedicated AI nodes designed for decentralized scaling. "This is a very big deal for ICP, cloud and agentic R&D. Engines will be the 1st frontier cloud/compute technology the wild." This launch positions $ICP as a primary infrastructure provider for frontier cloud R&D by enabling machine-to-machine logic at the protocol level. The release aims to transition traditional cloud workloads into a trustless, GPU-backed environment for the next generation of autonomous applications.
0:30

INTERNET COMPUTER SET TO DEMO "CLOUD ENGINES" DFINITY Foundation prepares to unveil "cloud engines" on May 10, 2026, marking the fifth anniversary of the Internet Computer network. According to the Founder's statement, the protocol will also reveal agentic builds, AI nodes, alongside other new features... The demonstration features a full-stack compute technology, including autonomous agentic builds and dedicated AI nodes designed for decentralized scaling. "This is a very big deal for ICP, cloud and agentic R&D. Engines will be the 1st frontier cloud/compute technology the wild." This launch positions $ICP as a primary infrastructure provider for frontier cloud R&D by enabling machine-to-machine logic at the protocol level. The release aims to transition traditional cloud workloads into a trustless, GPU-backed environment for the next generation of autonomous applications.

BSCN

21,373 görüntüleme • 2 ay önce

INTERNET COMPUTER'S CLOUD ENGINES REPRESENT AN INFLECTION POINT... Founder of Internet Computer (DFINITY Foundation), Dominic Williams (dom | icp), while celebrating the protocol's five-year journey, provided a detailed preview of “Cloud Engines." Cloud Engines is the sovereign frontier cloud technology that the network will soon provide via opencloud(.)org. He stated that Cloud Engines will enable anyone to spin up their own tamperproof sovereign cloud by selecting and configuring nodes within the mathematically secure Internet Computer network. The founder emphasized that the technology is built specifically for the AI era, enabling AI agents to create and update online applications and services without the need for security teams or sysadmins. Additionally, software hosted on Cloud Engines is immune to infrastructure hacks, guaranteed to run as long as sufficient nodes remain operational, and protected by orthogonal persistence in the Motoko language, which automatically detects and prevents “lossy” AI-generated updates. He added that users will soon be able to develop and deploy apps directly from AI platforms such as Claude or Perplexity, with seamless integration through caffeine, while maintaining full tech sovereignty. Cloud Engines allow owners to choose node operators and locations, mix Big Tech instances (Amazon Web Services, Microsoft Azure, Google), add sovereign AI nodes, and scale capacity instantly without downtime or vendor lock-in. In summary, Cloud Engines is an inflection point in the Internet Computer’s history.
0:30

INTERNET COMPUTER'S CLOUD ENGINES REPRESENT AN INFLECTION POINT... Founder of Internet Computer (DFINITY Foundation), Dominic Williams (dom | icp), while celebrating the protocol's five-year journey, provided a detailed preview of “Cloud Engines." Cloud Engines is the sovereign frontier cloud technology that the network will soon provide via opencloud(.)org. He stated that Cloud Engines will enable anyone to spin up their own tamperproof sovereign cloud by selecting and configuring nodes within the mathematically secure Internet Computer network. The founder emphasized that the technology is built specifically for the AI era, enabling AI agents to create and update online applications and services without the need for security teams or sysadmins. Additionally, software hosted on Cloud Engines is immune to infrastructure hacks, guaranteed to run as long as sufficient nodes remain operational, and protected by orthogonal persistence in the Motoko language, which automatically detects and prevents “lossy” AI-generated updates. He added that users will soon be able to develop and deploy apps directly from AI platforms such as Claude or Perplexity, with seamless integration through caffeine, while maintaining full tech sovereignty. Cloud Engines allow owners to choose node operators and locations, mix Big Tech instances (Amazon Web Services, Microsoft Azure, Google), add sovereign AI nodes, and scale capacity instantly without downtime or vendor lock-in. In summary, Cloud Engines is an inflection point in the Internet Computer’s history.

BSCN

12,137 görüntüleme • 2 ay önce

We believe the future of prediction markets is decentralised and permissionless. Anyone being able to make a market on anything. In order to do this you need AI and data you can verify and trust. This will all run on the Somnia blockchain.
1:11

We believe the future of prediction markets is decentralised and permissionless. Anyone being able to make a market on anything. In order to do this you need AI and data you can verify and trust. This will all run on the Somnia blockchain.

paul.somi

18,452 görüntüleme • 6 ay önce

Claude Managed Agents can operate in a sandbox you control, on your own infrastructure or with any provider you choose. Today we added new guides for Blaxel, E2B, Google Cloud, Namespace, and Superserve, so you can choose the best fit for your use case.
0:24

Claude Managed Agents can operate in a sandbox you control, on your own infrastructure or with any provider you choose. Today we added new guides for Blaxel, E2B, Google Cloud, Namespace, and Superserve, so you can choose the best fit for your use case.

ClaudeDevs

512,110 görüntüleme • 1 ay önce

ChatGPT reached 365 billion searches 5.5 times faster than Google. a16z GP David George: “AI is built on the back of the internet and cloud computing. And because of that, it allows for immediate global distribution.” “Because of the nature of this technology, you don't have to deliver a new hardware product. And because we have global internet buildout, and because we have cloud computing, the whole world can access this.” David George
1:16

ChatGPT reached 365 billion searches 5.5 times faster than Google. a16z GP David George: “AI is built on the back of the internet and cloud computing. And because of that, it allows for immediate global distribution.” “Because of the nature of this technology, you don't have to deliver a new hardware product. And because we have global internet buildout, and because we have cloud computing, the whole world can access this.” David George

a16z

60,448 görüntüleme • 5 ay önce

Good morning friends, please watch this demo then think about it 🧠🧠🧠 STORE vs Solana vs Eigen ————————— I think STORE has potential to be three things in one, "raising the bar”: a. Being integrated from the hardware layer up, a network of optimized datacenters, consensus can happen in parallel and applications can execute most loads at web2 cloud speed. b. A hardware-integrated protocol focussed on functioning as the traditional cloud from a deployment, (multicurrency cross-chain) billing, and tax perspective. It's becomes more programmable due to direct chain integrations and traditional cloud API endpoints, opening new possibilities for asset creation by mixing the best of both worlds. c. Various chain integrations are possible, aside from the native chain where data can viably live in a trust-minimized environment. This contrasts with offloading storage off-chain with only a hash, where the actual data could get compromised. Where Solana aims to be a verifiable blockchain and Eigen a verifiable network of roll-ups, STORE is the verifiable high-performance cloud. This approach aims to bridge the gap between traditional cloud computing and blockchain tech, realizing verifiability at the cloud infrastructure level. This means to effectively commoditize programmable energy, compute and data, potentially enabling human-AI collaboration and ownership on a different level. Did I mention consensus is leaderless?! Good things take time. STORE // is working on this. Full disclosure: I hold STORE tokens. I'm not paid to say this; I'm a long-time investor. My skin here is significant. Institutional investors might want to take note. They are raising funds. Don’t sleep on this one. Technical demo link
34:25

Good morning friends, please watch this demo then think about it 🧠🧠🧠 STORE vs Solana vs Eigen ————————— I think STORE has potential to be three things in one, "raising the bar”: a. Being integrated from the hardware layer up, a network of optimized datacenters, consensus can happen in parallel and applications can execute most loads at web2 cloud speed. b. A hardware-integrated protocol focussed on functioning as the traditional cloud from a deployment, (multicurrency cross-chain) billing, and tax perspective. It's becomes more programmable due to direct chain integrations and traditional cloud API endpoints, opening new possibilities for asset creation by mixing the best of both worlds. c. Various chain integrations are possible, aside from the native chain where data can viably live in a trust-minimized environment. This contrasts with offloading storage off-chain with only a hash, where the actual data could get compromised. Where Solana aims to be a verifiable blockchain and Eigen a verifiable network of roll-ups, STORE is the verifiable high-performance cloud. This approach aims to bridge the gap between traditional cloud computing and blockchain tech, realizing verifiability at the cloud infrastructure level. This means to effectively commoditize programmable energy, compute and data, potentially enabling human-AI collaboration and ownership on a different level. Did I mention consensus is leaderless?! Good things take time. STORE // is working on this. Full disclosure: I hold STORE tokens. I'm not paid to say this; I'm a long-time investor. My skin here is significant. Institutional investors might want to take note. They are raising funds. Don’t sleep on this one. Technical demo link

//Bitcoin 𝕵ack 🐐

729,471 görüntüleme • 1 yıl önce

Progress on our AI x Hardware project! We have near real-time conversation with both a 2D and 3D animated bot running. These will eventually be full blown paintings you can hang on your wall. Demo videos are unedited. Thoughts below👇
1:10

Progress on our AI x Hardware project! We have near real-time conversation with both a 2D and 3D animated bot running. These will eventually be full blown paintings you can hang on your wall. Demo videos are unedited. Thoughts below👇

Varun Mayya

90,897 görüntüleme • 2 yıl önce

Former Mayor of Nevada City and Former California Governor candidate Reinette Senum says there is a 200% increase in cloud seeding in America coming over the next few years “Most of the cloud seeding programs are happening from the Colorado Rockies all the way west. When a storm is coming in, these pilots, they get hired to make $750 an hour to do this. — So they release the silver iodide as well as a chaff. And it's like a military chaff. It's a aluminum coated glass — and that is for the irrigation districts, that's for the power companies — So that is what's happening for a long time. They denied it saying we don't cloud seed, and then one day like, oh yes, we do cloud seed, but we've been doing it for decades and it's completely proven safe. No, actually has not been proven safe. In fact, we know it's not safe. And by the way, those cloud seeding projects and programs last year, they announced they want like a 200% increase over the next few years of cloud seeding.”
1:23

Former Mayor of Nevada City and Former California Governor candidate Reinette Senum says there is a 200% increase in cloud seeding in America coming over the next few years “Most of the cloud seeding programs are happening from the Colorado Rockies all the way west. When a storm is coming in, these pilots, they get hired to make $750 an hour to do this. — So they release the silver iodide as well as a chaff. And it's like a military chaff. It's a aluminum coated glass — and that is for the irrigation districts, that's for the power companies — So that is what's happening for a long time. They denied it saying we don't cloud seed, and then one day like, oh yes, we do cloud seed, but we've been doing it for decades and it's completely proven safe. No, actually has not been proven safe. In fact, we know it's not safe. And by the way, those cloud seeding projects and programs last year, they announced they want like a 200% increase over the next few years of cloud seeding.”

Wall Street Apes

97,600 görüntüleme • 7 ay önce

Data sovereignty is in YOUR hands with ICP. Not just another blockchain - ICP is a sovereign cloud where YOU control your code & data. Built on decentralization with 1000+ person-years of R&D, ICP evolves Bitcoin's principles into a true world computer. Take back control. Watch the full interview with Bjoern here:
0:57

Data sovereignty is in YOUR hands with ICP. Not just another blockchain - ICP is a sovereign cloud where YOU control your code & data. Built on decentralization with 1000+ person-years of R&D, ICP evolves Bitcoin's principles into a true world computer. Take back control. Watch the full interview with Bjoern here:

DFINITY Foundation

12,564 görüntüleme • 1 yıl önce

Right now you can observe a lot of posts where someone share a screenshot of their cloud bill disappearing after buying a $3,000 box Most people see the number and want to believe it, few actually check if the math works for them specifically It's simple, what do you spend on compute per month? Divide $2,999 by that If the answer is under 12 - interesting, but If it's over 30 - close the tab and save your money The hardware isn't the question, your own usage is This article does the math honestly for every type of person Worth reading before you get caught up in the hype
23:58

Right now you can observe a lot of posts where someone share a screenshot of their cloud bill disappearing after buying a $3,000 box Most people see the number and want to believe it, few actually check if the math works for them specifically It's simple, what do you spend on compute per month? Divide $2,999 by that If the answer is under 12 - interesting, but If it's over 30 - close the tab and save your money The hardware isn't the question, your own usage is This article does the math honestly for every type of person Worth reading before you get caught up in the hype

plutos

37,972 görüntüleme • 1 ay önce

Perplexity CEO Aravind Srinivas on the biggest threat to the data center industry: It's not competition. It's not regulation. It's decentralisation. "The biggest threat to a data center is if the intelligence can be packed locally on a chip that's running on the device and then there's no need to inference all of it on like one centralized data center." He outlines how this could work in practice. Personalisation doesn't necessarily require on-device model training. Retrieval augmented generation, tool calls, and local data can already tailor AI to individual users. But the real unlock? Test time training. Aravind Srinivas describes a future where AI lives on your device, watches how you work and gradually automates your repetitive tasks. "Imagine we crack test time training where the AI watches tasks you repeatedly do on your local system, adapts to you over time and starts automating a lot of the things you do." The key insight: in this model, the intelligence belongs to you. It's your data, your device, your personalised AI brain. And if that future arrives, the economics of centralised infrastructure start to collapse. "That really disrupts the whole data center industry. It doesn't make sense to spend all this money, 500 billion, 5 trillion, whatever on building all the centralized data centers across the world that do a lot of the intelligence workloads for people." The companies spending trillions on centralised infrastructure may want to rethink where intelligence actually needs to live.
1:15

Perplexity CEO Aravind Srinivas on the biggest threat to the data center industry: It's not competition. It's not regulation. It's decentralisation. "The biggest threat to a data center is if the intelligence can be packed locally on a chip that's running on the device and then there's no need to inference all of it on like one centralized data center." He outlines how this could work in practice. Personalisation doesn't necessarily require on-device model training. Retrieval augmented generation, tool calls, and local data can already tailor AI to individual users. But the real unlock? Test time training. Aravind Srinivas describes a future where AI lives on your device, watches how you work and gradually automates your repetitive tasks. "Imagine we crack test time training where the AI watches tasks you repeatedly do on your local system, adapts to you over time and starts automating a lot of the things you do." The key insight: in this model, the intelligence belongs to you. It's your data, your device, your personalised AI brain. And if that future arrives, the economics of centralised infrastructure start to collapse. "That really disrupts the whole data center industry. It doesn't make sense to spend all this money, 500 billion, 5 trillion, whatever on building all the centralized data centers across the world that do a lot of the intelligence workloads for people." The companies spending trillions on centralised infrastructure may want to rethink where intelligence actually needs to live.

Big Brain AI

90,102 görüntüleme • 4 ay önce

Peter Thiel: “Buzzwords are a tell, like in poker, that the company is bluffing and undifferentiated” “I think all trends are overrated… if you hear the words ‘big data’ and ‘cloud computing’, you need to run away as fast as you possibly can. Just think ‘fraud’ and run away… All these buzzwords are a tell—like in poker—that the company is bluffing and undifferentiated… I think the things that are underrated are the ones where there are no buzzwords and it doesn’t actually fit into any pre-existing categories” Video Source: This Week in Startups
0:59

Peter Thiel: “Buzzwords are a tell, like in poker, that the company is bluffing and undifferentiated” “I think all trends are overrated… if you hear the words ‘big data’ and ‘cloud computing’, you need to run away as fast as you possibly can. Just think ‘fraud’ and run away… All these buzzwords are a tell—like in poker—that the company is bluffing and undifferentiated… I think the things that are underrated are the ones where there are no buzzwords and it doesn’t actually fit into any pre-existing categories” Video Source: This Week in Startups

Startup Archive

324,771 görüntüleme • 2 yıl önce

You can now delegate tasks to Cursor directly from Notion. It's built on the Cursor SDK, so every cloud agent runs on the same models, harness, and runtime that power Cursor. @​Cursor on any spec or assign it a task to open a PR your whole team can review.
0:37

You can now delegate tasks to Cursor directly from Notion. It's built on the Cursor SDK, so every cloud agent runs on the same models, harness, and runtime that power Cursor. @​Cursor on any spec or assign it a task to open a PR your whole team can review.

Cursor

313,285 görüntüleme • 24 gün önce