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Take a tour through Amazon Web Services Trainium's microchip metropolis: 🏙️ The Systolic Array: Our "downtown" where intensive calculations run around the clock, with billions of transistors packed into an area smaller than a postage stamp 🛣️ The Data Bus: Like city highways and transit systems, moving information at...

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Chips are the foundation of every AI experience. That's why understanding the hardware behind the software has never mattered more. When you ask a chatbot a question or generate an image, there's a physical chip somewhere doing the heavy lifting. For most of computing history, that was a CPU—the "brain" of a computer—great for general tasks needed to run software and operating systems. AI is more complex: for workloads called training and inference, AI needs to perform trillions of calculations in parallel. That's where AI accelerators come in. Purpose-built accelerators can deliver significantly better performance and efficiency than general-purpose chips. Amazon Web Services Trainium chips are an example—purpose-built for AI training and inference. New chips for a new era. ⬇️
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Chips are the foundation of every AI experience. That's why understanding the hardware behind the software has never mattered more. When you ask a chatbot a question or generate an image, there's a physical chip somewhere doing the heavy lifting. For most of computing history, that was a CPU—the "brain" of a computer—great for general tasks needed to run software and operating systems. AI is more complex: for workloads called training and inference, AI needs to perform trillions of calculations in parallel. That's where AI accelerators come in. Purpose-built accelerators can deliver significantly better performance and efficiency than general-purpose chips. Amazon Web Services Trainium chips are an example—purpose-built for AI training and inference. New chips for a new era. ⬇️

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At Amazon Web Services re:Invent, our SVP of Devices & Services, Panos Panay, put his skills to the test in a game of "This or That" — trying to spot the difference between real photos and AI-generated images created by Amazon Nova. Spoiler: It's harder than you think! We've unveiled major AI innovations at re:Invent that are transforming how we create, work, and imagine. Amazon Nova's image generation capabilities showcase just how far generative AI has come. See if you can spot the difference.
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At Amazon Web Services re:Invent, our SVP of Devices & Services, Panos Panay, put his skills to the test in a game of "This or That" — trying to spot the difference between real photos and AI-generated images created by Amazon Nova. Spoiler: It's harder than you think! We've unveiled major AI innovations at re:Invent that are transforming how we create, work, and imagine. Amazon Nova's image generation capabilities showcase just how far generative AI has come. See if you can spot the difference.

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.Amazon Web Services is helping The Ocean Cleanup find and remove plastic in the Great Pacific Garbage Patch, thanks to AI and cloud computing. Here's the tech behind the mission. ⬇️ Machine learning models analyze satellite, drone, and sensor data to map where plastic accumulates. Then, our systems help to predict where debris will drift next and optimize cleanup routes in near real-time. AWS also powers data-driven maps that track how plastics move through rivers—accelerating the deployment of river plastic interceptors. The goal? Remove 90% of floating plastic by 2040. The Ocean Cleanup has already removed 64 million pounds of trash worldwide. AWS tech helps them work even faster and smarter.

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The future of Downtown San Francisco just got a huge boost from the Biden Administration. Thanks to advocacy from our Speaker Emerita Nancy Pelosi, the federal government announced a new investment of $3.4 billion in the Portal, our transit center, to bring Caltrain — and eventually High Speed Rail — into the heart of our Downtown. With plans for 11 transit systems within and around the center, this investment isn’t just a commitment to the future of transportation in our city, region, and state, it’s a commitment to a thriving future for San Francisco. It’s a sign of what we can do when we work together and think big about what’s possible. The future of San Francisco and California is High Speed Rail, and the Portal in our Downtown is where that future will live.

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⚡Why Edge Compute Matters for the Future of Agentic AI AI isn’t just about smarter models, it’s about where they run. Centralized clouds are costly, slow, and controlled by a few. That’s not the future. 👉Join the OptimAI Network: With OptimAI Edge Compute and the upcoming Core Node release, every device becomes part of a decentralized supercomputer: + AI models run directly on your devices (phones, desktops, IoT devices) + Data stays local, secure, and real-time + Compute scales with the community, not corporations This is how we power the next generation of Agentic AI - AI systems that don’t just think, but act like you. Lightweight, fast, everywhere, for everyone. Stay tuned. The Edge is coming.
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If a model is 50% reliable, it's 0% useful. Michael Giannangeli, Head of Agentic AI at Amazon Nova, breaks down one of the hardest problems in agentic AI: reliability. Models need to match or beat human performance, or they won't get adopted. To close the gap, teams are building an ecosystem of reinforcement learning "gyms" where AI agents can hone their skills. Think of it like a virtual training ground where agents practice tasks through trial and error, building reliability one rep at a time. 💪
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If a model is 50% reliable, it's 0% useful. Michael Giannangeli, Head of Agentic AI at Amazon Nova, breaks down one of the hardest problems in agentic AI: reliability. Models need to match or beat human performance, or they won't get adopted. To close the gap, teams are building an ecosystem of reinforcement learning "gyms" where AI agents can hone their skills. Think of it like a virtual training ground where agents practice tasks through trial and error, building reliability one rep at a time. 💪

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AI is transforming the way businesses operate 🤖. It’s no longer just a tool, it powers decision-making, efficiency, and growth. From automating tasks to predicting trends and uncovering insights, AI is becoming the backbone of modern business. But AI isn’t magic. It needs massive amounts of high-quality data 📊. Companies like Scale AI and other Web2 giants thrive because they control the pipelines of this data, turning it into a huge competitive advantage. The problem is most of this data is locked in centralized systems 🔒, expensive, and often inaccessible for smaller companies or innovators. That’s where OORT | The Data Cloud for Decentralized AI comes in 🌐✨. By building decentralized storage and AI infrastructure, OORTECH makes data open, secure, and accessible to everyone. It’s a foundation for the next generation of AI-powered businesses, giving all innovators the chance to compete and create 🚀
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AI is transforming the way businesses operate 🤖. It’s no longer just a tool, it powers decision-making, efficiency, and growth. From automating tasks to predicting trends and uncovering insights, AI is becoming the backbone of modern business. But AI isn’t magic. It needs massive amounts of high-quality data 📊. Companies like Scale AI and other Web2 giants thrive because they control the pipelines of this data, turning it into a huge competitive advantage. The problem is most of this data is locked in centralized systems 🔒, expensive, and often inaccessible for smaller companies or innovators. That’s where OORT | The Data Cloud for Decentralized AI comes in 🌐✨. By building decentralized storage and AI infrastructure, OORTECH makes data open, secure, and accessible to everyone. It’s a foundation for the next generation of AI-powered businesses, giving all innovators the chance to compete and create 🚀

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We think #GenAI will transform virtually every customer experience. That’s why we’re doubling down on all three layers of what’s called the GenAI “stack.” What do we mean by stack? Simple. Three layers, bottom to top. The “bottom layer” means the infrastructure. Think chips, servers, networking – the software, hardware, and computing power in our data centers used to train, build, and deploy AI models and applications. The “middle layer” is the GenAI sandbox – all the tools, Large Language Models (LLMs), and Foundation Models (FMs) we’ve built into Amazon Bedrock. This lets customers pick the #AI models that best fit their needs to easily and securely customize GenAI applications specific to their business. The “top layer” means the popular agents and assistants that people actually interact with – now including Amazon Q. These are built from the models in the middle layer – in Amazon Bedrock. While other apps might help you write a quick email, or edit an image, Amazon Q’s meant for taking care of business. It’s been engineered to be the most capable GenAI-powered assistant for speeding up software dev and leveraging companies’ internal data. Are you as bullish on the future of GenAI as we are? Listen to our CEO Andy Jassy talk about our investment across the stack.

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What happens when our SVP of Devices & Services, Panos Panay puts a Kindle Paperwhite through the ultimate stress tests? To celebrate the 20th anniversary of our innovation hub, called Lab126, Panos spent a day with our hardware reliability engineers testing the e-reader’s durability and reliability. Watch him run just a few of the dozens of mechanical, situational, and chemical tests we use to simulate real-world customer experiences.
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What happens when our SVP of Devices & Services, Panos Panay puts a Kindle Paperwhite through the ultimate stress tests? To celebrate the 20th anniversary of our innovation hub, called Lab126, Panos spent a day with our hardware reliability engineers testing the e-reader’s durability and reliability. Watch him run just a few of the dozens of mechanical, situational, and chemical tests we use to simulate real-world customer experiences.

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🚨$OSS is not an AI company. → It is the hardware that lets AI exist where the cloud cannot. Most investors don’t understand $OSS because they think AI = software. $OSS builds the physical “brains” that run AI in extreme environments where cloud computing fails. Jets. Ships. Tanks. Drones. Space. Hospitals. That’s the game. 1) What $OSS actually is $OSS (One Stop Systems) designs rugged high-performance computers and storage systems for AI at the edge. Meaning: They bring data-center-level computing power into harsh environments. Their products include rugged servers, GPU accelerators, storage arrays, and expansion systems used for AI, sensor processing, and autonomous systems. In simple terms: Cloud AI = brain in a safe building. $OSS AI = brain inside machines operating in chaos. 2) Why this is crucial Most AI today runs in data centers. But the future of AI is not in the cloud. It’s on: • autonomous vehicles • military systems • drones • ships • industrial machines • medical devices These systems cannot wait for the cloud. Latency, connectivity, security, and survival demand local AI. $OSS delivers “data-center performance at the edge” across land, sea, and air. Without companies like OSS, autonomous systems simply don’t work. 3) What OSS actually does: Think of OSS as building AI engines that survive reality. 🌊 SEA example: naval surveillance aircraft and ships. $OSS supplies rugged storage and compute systems for U.S. Navy reconnaissance aircraft to collect and process massive sensor data in real time. Translation: Instead of sending raw data back to base, the aircraft analyzes threats instantly onboard. $OSS = the onboard AI brain. 🪖 LAND example: military vehicles and tactical operations. $OSS delivers high-performance servers and FPGA systems for mobile military intelligence platforms used by the U.S. Department of Defense. Translation: Tanks and vehicles detect threats, process sensor data, and make decisions locally. $OSS = the battlefield computer. ✈️ AIR example: airborne AI. $OSS builds GPU-accelerated servers designed for aircraft, described as a “datacenter in the sky.” Translation: Jets and drones run AI models mid-flight. $OSS = flying supercomputers. 🚀 SPACE example: $OSS hardware is designed for extreme environments and autonomous systems across aerospace and defense. Translation: Future satellites, space drones, and autonomous spacecraft need onboard AI. $OSS = the computing core of autonomous space systems. BONUS: CIVILIAN & COMMERCIAL $OSS systems are used in: • autonomous trucking and farming • industrial automation • healthcare imaging • energy and mining • telecom and 5G Example:A medical imaging company uses $OSS hardware to run real-time AI diagnostics in next-gen breast cancer scanners. $OSS = AI where milliseconds matter. 4) Who their customers are (pattern, not names) $OSS sells to: • defense primes • government programs • industrial OEMs • AI infrastructure companies • medical device manufacturers These customers share one trait: They cannot rely on the cloud. That’s why $OSS exists. 5) The mental model that makes $OSS obvious $NVDA = AI chips $PLTR = AI software $OSS = AI hardware in the real world If AI is electricity, $OSS builds the generators that work in storms. Most investors understand AI software. Few understand AI infrastructure at the edge. That gap is the opportunity. 6) The real thesis The world is moving toward: • autonomous warfare • autonomous vehicles • real-time AI systems • distributed intelligence All of that requires rugged edge computing. $OSS is positioned exactly there. Infrastructure. The hardest layer to build. And often the most valuable.
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🚨$OSS is not an AI company. → It is the hardware that lets AI exist where the cloud cannot. Most investors don’t understand $OSS because they think AI = software. $OSS builds the physical “brains” that run AI in extreme environments where cloud computing fails. Jets. Ships. Tanks. Drones. Space. Hospitals. That’s the game. 1) What $OSS actually is $OSS (One Stop Systems) designs rugged high-performance computers and storage systems for AI at the edge. Meaning: They bring data-center-level computing power into harsh environments. Their products include rugged servers, GPU accelerators, storage arrays, and expansion systems used for AI, sensor processing, and autonomous systems. In simple terms: Cloud AI = brain in a safe building. $OSS AI = brain inside machines operating in chaos. 2) Why this is crucial Most AI today runs in data centers. But the future of AI is not in the cloud. It’s on: • autonomous vehicles • military systems • drones • ships • industrial machines • medical devices These systems cannot wait for the cloud. Latency, connectivity, security, and survival demand local AI. $OSS delivers “data-center performance at the edge” across land, sea, and air. Without companies like OSS, autonomous systems simply don’t work. 3) What OSS actually does: Think of OSS as building AI engines that survive reality. 🌊 SEA example: naval surveillance aircraft and ships. $OSS supplies rugged storage and compute systems for U.S. Navy reconnaissance aircraft to collect and process massive sensor data in real time. Translation: Instead of sending raw data back to base, the aircraft analyzes threats instantly onboard. $OSS = the onboard AI brain. 🪖 LAND example: military vehicles and tactical operations. $OSS delivers high-performance servers and FPGA systems for mobile military intelligence platforms used by the U.S. Department of Defense. Translation: Tanks and vehicles detect threats, process sensor data, and make decisions locally. $OSS = the battlefield computer. ✈️ AIR example: airborne AI. $OSS builds GPU-accelerated servers designed for aircraft, described as a “datacenter in the sky.” Translation: Jets and drones run AI models mid-flight. $OSS = flying supercomputers. 🚀 SPACE example: $OSS hardware is designed for extreme environments and autonomous systems across aerospace and defense. Translation: Future satellites, space drones, and autonomous spacecraft need onboard AI. $OSS = the computing core of autonomous space systems. BONUS: CIVILIAN & COMMERCIAL $OSS systems are used in: • autonomous trucking and farming • industrial automation • healthcare imaging • energy and mining • telecom and 5G Example:A medical imaging company uses $OSS hardware to run real-time AI diagnostics in next-gen breast cancer scanners. $OSS = AI where milliseconds matter. 4) Who their customers are (pattern, not names) $OSS sells to: • defense primes • government programs • industrial OEMs • AI infrastructure companies • medical device manufacturers These customers share one trait: They cannot rely on the cloud. That’s why $OSS exists. 5) The mental model that makes $OSS obvious $NVDA = AI chips $PLTR = AI software $OSS = AI hardware in the real world If AI is electricity, $OSS builds the generators that work in storms. Most investors understand AI software. Few understand AI infrastructure at the edge. That gap is the opportunity. 6) The real thesis The world is moving toward: • autonomous warfare • autonomous vehicles • real-time AI systems • distributed intelligence All of that requires rugged edge computing. $OSS is positioned exactly there. Infrastructure. The hardest layer to build. And often the most valuable.

Black Panther Capital

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We envision a world that’s a better, more sustainable home for everyone. A world where greenhouse gas emissions are falling, and carbon-neutral economies help protect the most vulnerable. A world like this is within reach. We're proud to present our Finalists for The The Earthshot Prize to Fix Our Climate: Barbados' Bridgetown Initiative, led by Prime Minister Mia Mottley, is boosting climate and development finance and standing up for billions of impacted people. Form Energy is revolutionising renewable power storage through iron-air batteries that provide reliable power around the clock, cost-effectively easing the burden on the grid. Friendship is combining vital services like health and education with climate resilience projects that protect vulnerable communities, a pioneering holistic approach in Bangladesh.
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We envision a world that’s a better, more sustainable home for everyone. A world where greenhouse gas emissions are falling, and carbon-neutral economies help protect the most vulnerable. A world like this is within reach. We're proud to present our Finalists for The The Earthshot Prize to Fix Our Climate: Barbados' Bridgetown Initiative, led by Prime Minister Mia Mottley, is boosting climate and development finance and standing up for billions of impacted people. Form Energy is revolutionising renewable power storage through iron-air batteries that provide reliable power around the clock, cost-effectively easing the burden on the grid. Friendship is combining vital services like health and education with climate resilience projects that protect vulnerable communities, a pioneering holistic approach in Bangladesh.

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🎥 Behind the Scenes of Alibaba Cloud Partner Connect 2026 We’re excited to advance our AI Alliance Program — a strategic initiative to empower AI innovation and accelerate next-gen solutions for global enterprises. Working with AI partners like ATOS, we’re helping organizations harness cloud-native data and AI capabilities to drive business transformation at scale globally. In this video, hear from Purshottam Purswani, Head of Data and AI & CTO, APAC at ATOS, on how Partner Connect 2026 is shaping the future of AI-powered collaboration — and why strategic cloud partnerships are essential for future-ready enterprises. 💬 AI Partner - Your Voice, Our Connection #AlibabaCloud #PartnerConnect2026 #AIAlliance #ATOS #CloudComputing #AI #AInnovation #LLM
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🎥 Behind the Scenes of Alibaba Cloud Partner Connect 2026 We’re excited to advance our AI Alliance Program — a strategic initiative to empower AI innovation and accelerate next-gen solutions for global enterprises. Working with AI partners like ATOS, we’re helping organizations harness cloud-native data and AI capabilities to drive business transformation at scale globally. In this video, hear from Purshottam Purswani, Head of Data and AI & CTO, APAC at ATOS, on how Partner Connect 2026 is shaping the future of AI-powered collaboration — and why strategic cloud partnerships are essential for future-ready enterprises. 💬 AI Partner - Your Voice, Our Connection #AlibabaCloud #PartnerConnect2026 #AIAlliance #ATOS #CloudComputing #AI #AInnovation #LLM

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Your packages don’t deliver themselves, and our Amazon Tours team is giving you a behind-the-scenes look into the process. Sign up for free to visit one of our fulfillment centers and meet the people who make it all happen. You’ll see how we use cutting-edge robotics technology to ship packages speedily, learn about our safety and wellness protocols, and get a peek at our company culture. Visit to sign up for a tour in your area, or join us for a virtual tour!

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The next evolution of the OptimAI Core Node is coming, and it’s bringing one of our most powerful innovations yet: The Data Mining Agent. Become an OptimAI Node: 🔍 What is the Data Mining Agent? A fully autonomous agent running on your Core Node that: + Scans, retrieves, and indexes real-time public web data + Transforms raw information into actionable intelligence + Powers faster, smarter, adaptive Persona AI systems 💡 Why It Matters: Agentic AI is only as strong as the data it can access. Centralized APIs are slow, expensive, and limited. With the Core Node + Data Mining Agent, every contributor turns their desktop into a data supernode, accelerating AI evolution and giving our community a massive edge. ⚡ We’re not just building tools - we’re architecting the global backbone of Agentic AI, powered by you. Stay tuned for teasers, and get ready to upgrade your node. The future is decentralized. The future is agentic. And you are a key part of it. 💪 The more you contribute, the more you earn. Let’s BUIDL the future of AI together.
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The next evolution of the OptimAI Core Node is coming, and it’s bringing one of our most powerful innovations yet: The Data Mining Agent. Become an OptimAI Node: 🔍 What is the Data Mining Agent? A fully autonomous agent running on your Core Node that: + Scans, retrieves, and indexes real-time public web data + Transforms raw information into actionable intelligence + Powers faster, smarter, adaptive Persona AI systems 💡 Why It Matters: Agentic AI is only as strong as the data it can access. Centralized APIs are slow, expensive, and limited. With the Core Node + Data Mining Agent, every contributor turns their desktop into a data supernode, accelerating AI evolution and giving our community a massive edge. ⚡ We’re not just building tools - we’re architecting the global backbone of Agentic AI, powered by you. Stay tuned for teasers, and get ready to upgrade your node. The future is decentralized. The future is agentic. And you are a key part of it. 💪 The more you contribute, the more you earn. Let’s BUIDL the future of AI together.

OptimAI Network

50,405 Aufrufe • vor 10 Monaten

If your chips and models aren't built in lockstep, you're already behind. At VivaTech, Amazon SVP Peter DeSantis—who leads a new org uniting foundation models and custom chips—explained why they have to develop together, not in sequence. 🤝 "If the chips are not telling the model designers what capabilities are coming and where they can optimize, then we're not doing the science necessary to take advantage of those capabilities until the chips are available—and then you're waiting months and months." Amazon has been doing this since day one. That’s why Trainium is a chip of choice for AI companies building applications from large language models to world models and more.
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If your chips and models aren't built in lockstep, you're already behind. At VivaTech, Amazon SVP Peter DeSantis—who leads a new org uniting foundation models and custom chips—explained why they have to develop together, not in sequence. 🤝 "If the chips are not telling the model designers what capabilities are coming and where they can optimize, then we're not doing the science necessary to take advantage of those capabilities until the chips are available—and then you're waiting months and months." Amazon has been doing this since day one. That’s why Trainium is a chip of choice for AI companies building applications from large language models to world models and more.

Amazon

49,887 Aufrufe • vor 5 Tagen

When the team from Forbes came to our San Jose headquarters, the conversation quickly became about more than just chips. It became a discussion about the future of AI and what it actually takes to run it at scale. As AI adoption accelerates, the challenge is no longer training models, it’s inference: running models efficiently, reliably, and fast enough to power the next generation of agentic applications. As our CEO and Founder Rodrigo Liang put it: “It's much lower power, much smaller footprint, and it's faster than anybody else. What's not to like?” And as Dharmesh Thakker General Partner of Battery Ventures explained: "The technology that SambaNova has is very complimentary to what Intel has because most AI data centers need a combination of CPUs and GPUs." A big thank you to Anton McGonnell and Vasanth Mohan for helping bring this story to life and for the thoughtful conversations throughout the day. We’re excited about what this shift means in practice, from premium inference and agentic AI to more efficient, sustainable data center infrastructure that lets enterprises deploy AI at scale, not just experiment with it. And thank you to Kirsten Taggart and the team at Forbes for spending the time with us and taking a deeper look at what we’re building. 🎥 Watch the full feature below.
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When the team from Forbes came to our San Jose headquarters, the conversation quickly became about more than just chips. It became a discussion about the future of AI and what it actually takes to run it at scale. As AI adoption accelerates, the challenge is no longer training models, it’s inference: running models efficiently, reliably, and fast enough to power the next generation of agentic applications. As our CEO and Founder Rodrigo Liang put it: “It's much lower power, much smaller footprint, and it's faster than anybody else. What's not to like?” And as Dharmesh Thakker General Partner of Battery Ventures explained: "The technology that SambaNova has is very complimentary to what Intel has because most AI data centers need a combination of CPUs and GPUs." A big thank you to Anton McGonnell and Vasanth Mohan for helping bring this story to life and for the thoughtful conversations throughout the day. We’re excited about what this shift means in practice, from premium inference and agentic AI to more efficient, sustainable data center infrastructure that lets enterprises deploy AI at scale, not just experiment with it. And thank you to Kirsten Taggart and the team at Forbes for spending the time with us and taking a deeper look at what we’re building. 🎥 Watch the full feature below.

SambaNova

226,753 Aufrufe • vor 1 Monat