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Every search, recommendation, simulation and AI-generated response depends on rapid access to #data.​​ From training large AI models to enabling real-time inference, #DRAM helps keep today's most demanding workloads moving at the speed innovation requires.​​ This National DRAM day, join us in celebrating the technology that helps bridge the...

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Micron Technology

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16,077 просмотров • 3 месяцев назад •via X (Twitter)

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Prediction: By 2030, global data center workloads are projected to split into: • 50% traditional workloads • 37% AI inference • 13% AI training Inference is set to become nearly 3× larger than training. As more AI applications move into production, builders will need infrastructure that can support lower-cost inference, reliable execution, faster routing and private workloads at scale. This is where FAR AI enters the market. Source: JLL Research, 2025
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Prediction: By 2030, global data center workloads are projected to split into: • 50% traditional workloads • 37% AI inference • 13% AI training Inference is set to become nearly 3× larger than training. As more AI applications move into production, builders will need infrastructure that can support lower-cost inference, reliable execution, faster routing and private workloads at scale. This is where FAR AI enters the market. Source: JLL Research, 2025

FAR Labs

20,706 просмотров • 3 месяцев назад

AI was trained on the open internet, but the data that matters most lives in the real world. Introducing early access to Numo, an app built to collect the next generation of AI training data. Starting with voice data collection in Bengali, Hindi, Tamil, and Telugu. Details ↴
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AI was trained on the open internet, but the data that matters most lives in the real world. Introducing early access to Numo, an app built to collect the next generation of AI training data. Starting with voice data collection in Bengali, Hindi, Tamil, and Telugu. Details ↴

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70% of AI compute in 2026 is inference. Not training. The models are built. The real infrastructure challenge is serving them at scale to millions of users and agents, every day, in production. Most enterprise infrastructure is still optimized for the wrong workload.🧵
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70% of AI compute in 2026 is inference. Not training. The models are built. The real infrastructure challenge is serving them at scale to millions of users and agents, every day, in production. Most enterprise infrastructure is still optimized for the wrong workload.🧵

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21,202 просмотров • 3 месяцев назад

Cerebras and CrowdStrike are partnering to power Falcon AIDR on the world’s fastest inference. AI attacks move in seconds, and cybersecurity can’t wait in a queue. Together, CrowdStrike and Cerebras are enabling security AI to detect, reason, and respond at machine speed.
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Cerebras and CrowdStrike are partnering to power Falcon AIDR on the world’s fastest inference. AI attacks move in seconds, and cybersecurity can’t wait in a queue. Together, CrowdStrike and Cerebras are enabling security AI to detect, reason, and respond at machine speed.

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Holy sh!t ! OpenAI will have their custom inference chips ready in just a few months and deployed at scale by the end of the year! 🤯 Training chip = The heavy lifters that require massive amounts of data and power to build and teach the AI models from scratch. Inference chip = The specialized, highly efficient chips that actually run the AI and generate the answers in real-time when you use it. This is going to help OpenAI drastically cut down their massive compute costs, speed up model reasoning times, and finally break free from relying entirely on Nvidia to scale their operations.
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Holy sh!t ! OpenAI will have their custom inference chips ready in just a few months and deployed at scale by the end of the year! 🤯 Training chip = The heavy lifters that require massive amounts of data and power to build and teach the AI models from scratch. Inference chip = The specialized, highly efficient chips that actually run the AI and generate the answers in real-time when you use it. This is going to help OpenAI drastically cut down their massive compute costs, speed up model reasoning times, and finally break free from relying entirely on Nvidia to scale their operations.

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Excited to announce our partnership with Pangea! 🌊 Pangea’s real-time and historical data indexing solutions fuel dApps, chains, and protocols, enabling builders to innovate with speed, trust and scalability. By aligning their cutting-edge data sources with Bluwhale’s AI network, we’re able to expand faster across more chains like Fuel and MovementLabs within a very short period of time. This collaboration unlocks data on chains for our AI to train on and empowers builders and dApps alike to access indexed data and intelligence. Stay tuned for what’s next! 🚀
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Excited to announce our partnership with Pangea! 🌊 Pangea’s real-time and historical data indexing solutions fuel dApps, chains, and protocols, enabling builders to innovate with speed, trust and scalability. By aligning their cutting-edge data sources with Bluwhale’s AI network, we’re able to expand faster across more chains like Fuel and MovementLabs within a very short period of time. This collaboration unlocks data on chains for our AI to train on and empowers builders and dApps alike to access indexed data and intelligence. Stay tuned for what’s next! 🚀

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16,399 просмотров • 1 год назад

Did you know that the adoption of artificial intelligence has doubled since 2017? 📈 This guide helps data scientists and ML practitioners looking to take their #AI models from experimentation to the production stage with #MLOPs. Download now:
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Did you know that the adoption of artificial intelligence has doubled since 2017? 📈 This guide helps data scientists and ML practitioners looking to take their #AI models from experimentation to the production stage with #MLOPs. Download now:

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Announced at Dell Technologies World: a broad set of Dell AI Factory advancements designed to make it easy to close the gap between AI ambition and AI execution. From deskside to the data center, it's intelligence in action, not just in theory. Read the press release:
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Announced at Dell Technologies World: a broad set of Dell AI Factory advancements designed to make it easy to close the gap between AI ambition and AI execution. From deskside to the data center, it's intelligence in action, not just in theory. Read the press release:

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NVIDIA is advancing graphics and simulation with agentic and physical AI at #SIGGRAPH2026. From open models to real-time simulation, AI and graphics breakthroughs are transforming media, content creation, and robotics. Read the latest announcements. 👇
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NVIDIA is advancing graphics and simulation with agentic and physical AI at #SIGGRAPH2026. From open models to real-time simulation, AI and graphics breakthroughs are transforming media, content creation, and robotics. Read the latest announcements. 👇

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111,135 просмотров • 2 месяцев назад

Building autonomous vehicles, robots, and vision AI takes more data than any team can collect on their own. At #CVPR2026, NVIDIA announced physical AI agent skills to help speed development: composable workflows that automate data generation, simulation, policy training and evaluation, powered by Cosmos 3. Read the blog:
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Building autonomous vehicles, robots, and vision AI takes more data than any team can collect on their own. At #CVPR2026, NVIDIA announced physical AI agent skills to help speed development: composable workflows that automate data generation, simulation, policy training and evaluation, powered by Cosmos 3. Read the blog:

NVIDIA

32,297 просмотров • 3 месяцев назад

At Open AGI, our CEO Ahmed Rashad shared why trust is the new compute. AI is moving from generating content to making life-or-death decisions — medical diagnoses, autonomous vehicles, military systems. If the training data is wrong, the decisions are wrong. Meanwhile, models are increasingly trained on synthetic outputs, creating feedback loops that degrade quality. Data supply chains are opaque. Adversarial attacks are real. The next AI race won’t be won by bigger models. It will be won by those who control and verify the data layer. Perle Labs is building the sovereign, human-verified, on-chain auditable infrastructure high-stakes AI requires. Trust wins the AI race. Thank you Sentient for having us! No better way to end off our time at ETHDenver 🏔🦬🦄. Until next time 🫡
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At Open AGI, our CEO Ahmed Rashad shared why trust is the new compute. AI is moving from generating content to making life-or-death decisions — medical diagnoses, autonomous vehicles, military systems. If the training data is wrong, the decisions are wrong. Meanwhile, models are increasingly trained on synthetic outputs, creating feedback loops that degrade quality. Data supply chains are opaque. Adversarial attacks are real. The next AI race won’t be won by bigger models. It will be won by those who control and verify the data layer. Perle Labs is building the sovereign, human-verified, on-chain auditable infrastructure high-stakes AI requires. Trust wins the AI race. Thank you Sentient for having us! No better way to end off our time at ETHDenver 🏔🦬🦄. Until next time 🫡

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Modernizing data centers takes more than power. It takes partnership. Lenovo and AMD are pushing enterprise performance forward with trusted compute built for AI, hybrid cloud, and demanding workloads, giving customers the scale and speed the digital economy requires to drive business transformation. See how the most trusted companies trust AMD: #TogetherWeAdvance
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Modernizing data centers takes more than power. It takes partnership. Lenovo and AMD are pushing enterprise performance forward with trusted compute built for AI, hybrid cloud, and demanding workloads, giving customers the scale and speed the digital economy requires to drive business transformation. See how the most trusted companies trust AMD: #TogetherWeAdvance

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AI runs on data. Your data. Tech giants scrape the internet, collect user interactions, and buy datasets to train their models. Now, platforms are charging companies to access the data you created. It doesn't have to be this way. Join the data revolution. Own your data, own your impact.

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Across the open web, vast unstructured data is generated 24/7. From text and images to videos and streams. In a world of AI agents that create content or analyze markets, nearly all depend on one essential ingredient: fresh, live, unfiltered data from the open web. Teneo Protocol delivers exactly that. Provides the infrastructure others build on.

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OptimAI Network

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.Sentient has just integrated Messari by Blockworks 's data and research into its AI-powered search platform, Sentient Chat. This partnership basically allows users to access Messari’s research directly through the Agent Hub in Sentient Chat where they can get instant answers and insights from Messari reports. The integration is done via Messari Copilot, which means users can now easily get to Messari’s crypto data without having to dig through extensive reports themselves. Messari's data and research now feeds into Sentient’s Agentic Perplexity, here users can access this in the Agent Hub for all their crypto related questions. Integrating Messari’s research now helps provide an open & community-driven platform for AI-powered search, ensuring that users have access to the best crypto data and insights in real time, while also expanding the functionality of Sentient’s Agent Hub, where users can find and use a growing library of AI agents for various tasks. Now I don't know about you but I know where I'll be getting my stats from moving forward.
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.Sentient has just integrated Messari by Blockworks 's data and research into its AI-powered search platform, Sentient Chat. This partnership basically allows users to access Messari’s research directly through the Agent Hub in Sentient Chat where they can get instant answers and insights from Messari reports. The integration is done via Messari Copilot, which means users can now easily get to Messari’s crypto data without having to dig through extensive reports themselves. Messari's data and research now feeds into Sentient’s Agentic Perplexity, here users can access this in the Agent Hub for all their crypto related questions. Integrating Messari’s research now helps provide an open & community-driven platform for AI-powered search, ensuring that users have access to the best crypto data and insights in real time, while also expanding the functionality of Sentient’s Agent Hub, where users can find and use a growing library of AI agents for various tasks. Now I don't know about you but I know where I'll be getting my stats from moving forward.

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At #HUAWEICONNECT 2026, explore how AI infrastructure, industry intelligence, and digital ecosystems are advancing the agentic world. Across three days, Huawei Connect 2026 will spotlight the next phase of Agentic AI infrastructure innovation, intelligent transformation in core industry scenarios, and the digital and intelligent ecosystems enabling partners and developers to create new value. Join industry leaders, experts, partners, and developers in Shanghai to exchange ideas, explore new technologies, and discover how intelligence can be applied at scale. Join #Huawei Connect 2026 from September 17 to 19 in Shanghai:
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At #HUAWEICONNECT 2026, explore how AI infrastructure, industry intelligence, and digital ecosystems are advancing the agentic world. Across three days, Huawei Connect 2026 will spotlight the next phase of Agentic AI infrastructure innovation, intelligent transformation in core industry scenarios, and the digital and intelligent ecosystems enabling partners and developers to create new value. Join industry leaders, experts, partners, and developers in Shanghai to exchange ideas, explore new technologies, and discover how intelligence can be applied at scale. Join #Huawei Connect 2026 from September 17 to 19 in Shanghai:

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Agentz is a revolutionary platform that merges personalized AI agents with a user-driven marketplace, creating a dynamic ecosystem for AI development. Users benefit from customized AI agents that enhance productivity across various tasks while simultaneously contributing to the evolution of AI. This collaborative model creates a continuous improvement cycle, where user input refines AI performance, and enhanced AI capabilities draw in more users. By bridging the gap between AI consumers and contributors, Agentz is pioneering a new paradigm in artificial intelligence. The platform empowers every user to benefit from and actively participate in shaping AI technology, driving a future where AI is both user-driven and continuously evolving. Agentz is incubated by the DePIN AI Intel Layer - Rivalz Network, to guarantee state of the art data management and privacy.
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Agentz is a revolutionary platform that merges personalized AI agents with a user-driven marketplace, creating a dynamic ecosystem for AI development. Users benefit from customized AI agents that enhance productivity across various tasks while simultaneously contributing to the evolution of AI. This collaborative model creates a continuous improvement cycle, where user input refines AI performance, and enhanced AI capabilities draw in more users. By bridging the gap between AI consumers and contributors, Agentz is pioneering a new paradigm in artificial intelligence. The platform empowers every user to benefit from and actively participate in shaping AI technology, driving a future where AI is both user-driven and continuously evolving. Agentz is incubated by the DePIN AI Intel Layer - Rivalz Network, to guarantee state of the art data management and privacy.

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OpenAI's Deep Research is getting a run for its money. Deep Lake was just released, and it's a different take on an AI system that can do deep research on your own data. You can use Deep Lake to build AI search with reasoning on your private and public data. (Look at the attached videos to get an idea of how it works.) If you want to research proprietary and sensitive data, Deep Research won't help you because it's limited to public data. Deep Lake, however, will allow you to use your private data. On top of that, Deep Lake supports multi-modal retrieval from the ground up. It uses vision language models for data ingestion and retrieval so that you can connect any data (PDFs, images, videos, structured data, etc.) You can even use mixed-data queries! Deep Lake can search your data from S3, Dropbox, and GCP. It learns from your queries over time, making the results as relevant to your work as possible!
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OpenAI's Deep Research is getting a run for its money. Deep Lake was just released, and it's a different take on an AI system that can do deep research on your own data. You can use Deep Lake to build AI search with reasoning on your private and public data. (Look at the attached videos to get an idea of how it works.) If you want to research proprietary and sensitive data, Deep Research won't help you because it's limited to public data. Deep Lake, however, will allow you to use your private data. On top of that, Deep Lake supports multi-modal retrieval from the ground up. It uses vision language models for data ingestion and retrieval so that you can connect any data (PDFs, images, videos, structured data, etc.) You can even use mixed-data queries! Deep Lake can search your data from S3, Dropbox, and GCP. It learns from your queries over time, making the results as relevant to your work as possible!

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