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#ai-infrastructure — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #ai-infrastructure, aggregated by home.social.

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  1. NVIDIA is helping finance the AI boom. 💰 It has partnered with major financial players to mobilise $500B+ for AI infrastructure. The next AI bottleneck may not be models, it could be money, power and compute.

    #BestSoln #NVIDIA #AI #AIInfrastructure #DataCenters #Semiconductors #TechNews

  2. After building and running #nvidia #DGX #AI supercomputing service for nearly six years, Stephan Fabel left the #AIinfrastructure giant in April to take on the role of CEO at ThisWay Global. That company is an AI infrastructure service provider targeting sovereign entities, including state and national governments and public research institutions. In addition to infrastructure capacity and orchestration, the company offers risk management and employee training services.

    Fabel said he hopes that addressing the AI trust gap for sovereigns will move AI development beyond "the next cat picture generator" to medical research and other critical functions that would benefit society.

    In today's episode, we'll cover:

    💡 Using sovereign clout to broaden access to AI infrastructure

    💡 Anticipating the next wave of AI regulation

    💡 What regulated enterprises can learn from #sovereignAI entities

    And more!

    Tune in here: youtu.be/PRnf8jcXFrk?si=wRwB-T

  3. Nvidia has agreed to buy Hugging Face, the popular open-source AI hub, for 12.9B USD in a move that would let Nvidia both protect its chip empire and jump back into the cloud business. techcrunch.com/2026/08/26/nvid #AIagent #AI #GenAI #AIInfrastructure

  4. Nvidia is pushing back against accusations of circular dealmaking, where the company allegedly uses funds from one AI startup to invest in another, creating a loop that inflates demand for its chips. The controversy highlights growing scrutiny of Nvidia as its GPU dominance faces regulatory questions. gizmodo.com/nvidia-tries-to-de #AI #GenAI #AIInfrastructure #GlobalAIGovernance

  5. We obsess over AI apps & models — but rarely think about what makes them actually run.

    Steve Clayton from Cisco draws a perfect analogy: the network is to AI what roads are to travel. You don't think about roads when planning a trip. You think about the destination.

    But without the road? You never arrive.

    The hidden infrastructure matters more than we realise.

    Watch on YouTube 👇
    youtube.com/shorts/PJTJBdoPX9U

    #AIInfrastructure #AnalysePodcast

  6. Breaking News!

    Chris Malone head of data centers for OpenAI has left the company.

    This is not good - there is an apparent stampede of high-level executive leaving OpenAI with its potential IPO looming.

    cryptobriefing.com/openai-chri #AI #OpenAI #DataCenters #Executives #Leadership #IPO #AIInfrastructure #ChatGPT

  7. OpenAI has unveiled its Jalapeño chip, built with Broadcom for fast AI inference at scale. Benchmarks show it delivers more tokens per user and greater throughput per kilowatt than Nvidia Blackwell systems. The chip deploys late 2026 with full rollout in 2027. techcrunch.com/2026/08/25/open #AIagent #AI #GenAI #AIInfrastructure

  8. Hugging Face, the popular AI model hub, is reportedly seeking acquisition at a valuation around 13 billion USD. The company has become a central platform for sharing and hosting open-source AI models, competing with GitHub for developer mindshare in the AI era. gizmodo.com/hugging-face-repor #AIagent #AI #GenAI #AIInfrastructure

  9. The top GPU neoclouds of 2026 have been ranked: CoreWeave commands a premium as the only Platinum-rated provider, while Nebius posts the lowest H100 rate and the only published B300 price. Lambda offers the cheapest B200 at $6.69 per GPU-hour, Crusoe is the only provider with AMD GPUs, and Groq has added NVIDIA as a cloud partner. marktechpost.com/2026/08/23/be #AIagent #AI #GenAI #AIInfrastructure

  10. Telecom just became one of the most important infrastructure stories in AI, and it is still not getting enough attention.

    As AI moves beyond centralized data centers, fiber, 5G, edge computing, and intelligent networks become part of the intelligence stack itself.

    The next AI advantage may not only come from the model. It may come from the network behind it.

    #AI #Telecom #5G #EdgeComputing #AIInfrastructure

  11. FreeToken enables a 753 billion parameter model to run on a single workstation GPU by treating a personal machine as a unified elastic inference platform. The system dynamically maps computation across GPU, CPU and memory.

    marktechpost.com/2026/08/23/me #AIagent #AI #GenAI #AIInfrastructure

  12. Server DRAM prices are entering a new phase.

    The rapid expansion of AI infrastructure and data centers is putting sustained pressure on memory demand, making server DRAM increasingly important to the overall hardware supply chain.

    Long-term contracts can give major buyers greater supply visibility and help memory manufacturers plan production, but they can also change how pricing risk is distributed. As demand remains strong, contract structures may become an increasingly important factor in determining the real cost of server memory.

    For data-center operators, hardware resellers, and IT asset managers, this matters beyond the initial purchase price. Changes in DRAM pricing can influence server upgrade costs, inventory values, procurement strategies, and the resale value of existing memory.

    We take a closer look at how long-term contracts are reshaping server DRAM pricing and what this could mean for the broader memory market.

    Read the full analysis:
    buysellram.com/blog/server-dra

    #DRAM #ServerMemory #MemoryMarket #AIInfrastructure #DataCenters #Semiconductors #MemorySupply #ITHardware #DataCenterInfrastructure #AI #tech

  13. Server DRAM pricing is entering a new phase as AI and data-center demand reshape the memory market. Long-term contracts can provide more predictable supply, but they may also change how pricing risk is distributed between memory suppliers and large buyers.

    Read the full analysis:
    buysellram.com/blog/server-dra

    #DRAM #ServerMemory #AIInfrastructure #DataCenters #MemoryMarket #Semiconductors #AI

  14. A comparison of the five largest GPU cloud providers reveals CoreWeave commands a 10-15% premium as the only Platinum-rated provider, while Nebius offers the lowest H100 rates and the only published B300 pricing. Lambda has the cheapest B200 rate, and Crusoe is the only provider with AMD GPUs on its rate card. marktechpost.com/2026/08/21/be #AIagent #AI #GenAI #AIInfrastructure

  15. Nvidia research demonstrates that AI agents can perform effectively through fine-tuning even when the underlying model is not particularly capable. The focus has shifted from the model itself to the harness or framework that guides the AI, marking a significant development in enterprise AI deployment. techcrunch.com/2026/08/21/nvid #AIagent #AI #GenAI #AIInfrastructure

  16. Samsung reportedly raised some SF4 foundry prices by 10–15%. TSMC capacity pressure is part of the explanation, but there is another one: Samsung's HBM4 uses a 4nm logic base die, and Samsung says HBM base-die demand is already improving foundry results.

    The AI memory shortage is starting to consume logic-foundry capacity too.

    buysellram.com/blog/samsung-4n

    #Semiconductors #SamsungFoundry #HBM4 #AIInfrastructure #Foundry #ChipManufacturing #DataCenter #TSMC #Memory #AIHardware #technology

  17. AI data startup Micro1 has hit 500M USD in annual recurring revenue as demand for training data surges. The company provides labelled data essential for building AI models, riding the wave of massive AI development. techcrunch.com/2026/08/20/ai-d #AIagent #AI #GenAI #AIInfrastructure

  18. NVIDIA’s Vera Rubin platform is entering full production, combining GPUs, CPUs, networking and storage into AI factory systems built for massive workloads. The AI race is becoming an infrastructure race—and NVIDIA wants to power it. #BestSoln #NVIDIA #VeraRubin #AI #AIInfrastructure #Semiconductors

  19. AI data centres could soon consume water equivalent to the daily needs of 1.3 billion people. A UN report warns evaporative cooling for AI infrastructure is unsustainable. Researchers suggest direct-to-chip liquid cooling as a more efficient alternative that could dramatically reduce water consumption in data centres. theconversation.com/theres-a-b #AIagent #AI #GenAI #AIInfrastructure