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#ai-inference — Public Fediverse posts

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

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  1. #Starcloud, a #startup developing #satellites for #AIinference in orbit, raised an additional $250 million, valuing the company at $2.3 billion. The funding will support the development of their largest orbital #datacentre #spacecraft, #Starcloud3, and secure launch capacity as the market tightens. Starcloud is collaborating with #Nvidia to develop a space-ready #GPU, aiming to launch it in late 2028. techcrunch.com/2026/08/21/star #tech #news #ainews

  2. Enterprise AI training vs. #AIInference: two fundamentally different workloads.

    #AITraining: intensive GPU compute over days/weeks
    Inference: fast, continuous production responses

    Conflate them and you overpay for infrastructure, choose the wrong hardware, and you miss compliance. Both introduce distinct security risks.

    The solution?
    Private, sovereign AI infrastructure = full data control + compliance.

    amazee.ai/blog/ai-training-vs-

  3. Dentro la gerarchia della memoria delle GPU: come i server AI spostano i dati dagli SSD alla HBM

    Ti sei mai chiesto come i modelli di intelligenza artificiale trasferiscono i dati alla GPU? Questo articolo spiega in modo semplice i diversi livelli di memoria all'interno di un server AI, perché la memoria della GPU è diventata un collo di bottiglia e quali nuove tecnologie potrebbero migliorare le prestazioni dell'intelligenza artificiale.

    buysellram.com/blog/inside-the…

    #HBM #HBM4 #GPUMemory #AIInfrastructure #DataCenter #CXL #HighBandwidthFlash #AIHardware #MemoryHierarchy #AIInference #NVMe #ITAD

  4. Why can't a GPU just carry more HBM? Interposers max out in size, stacking 12 to 16 DRAM dies compounds yield losses, and every stack sits beside a kilowatt-class package that hates sharing heat. So capacity climbs in careful steps — 80 GB on the H100, 141 on the H200, 192 on the B200, 288 on Blackwell Ultra — while KV caches for long-context inference balloon past 40 GB per request.

    That gap between what models demand and what packaging permits is reshaping server design. NVIDIA's Rubin platform treats CPU memory and HBM as one coherent pool. SanDisk and SK hynix are standardizing High Bandwidth Flash as a capacity tier under HBM, with first samples due this half. CXL 4.0 pooling hardware is landing in racks now.

    This article walks the whole memory hierarchy, from on-chip SRAM to NVMe, and explains what each emerging technology actually solves — and what it doesn't.

    buysellram.com/blog/inside-the

    #HBM #HBM4 #GPUMemory #AIInfrastructure #DataCenter #CXL #HighBandwidthFlash #AIHardware #MemoryHierarchy #AIInference #NVMe #ITAD #technology

  5. A modern AI server runs five layers of memory, from nanosecond on-chip SRAM to petabyte-scale SSDs, and keeping the GPU fed is the whole engineering game. This piece walks the full hierarchy: why HBM became the bottleneck, why adding more isn't simple, and where HBF, CXL, and PIM fit into the next generation.

    buysellram.com/blog/inside-the

    #HBM #HBM4 #GPUMemory #AIInfrastructure #DataCenter #CXL #HighBandwidthFlash #AIHardware #MemoryHierarchy #AIInference #NVMe #tech

  6. winbuzzer.com/2026/07/04/nvidi

    Nvidia's new AI cloud financing strategy lowers upfront GPU buildout costs while tying supported capacity to future cloud revenue, with key payment terms still unclear.

    #AI #NVIDIA #AIInfrastructure #AICompute #AIInference #AIChips

  7. Running AI in production? A lot of the bill is memory. Every token a model generates is served from fast memory next to the GPU — and that memory, HBM, is scarce and expensive.
    HBF is built to attack that cost: much of HBM's bandwidth at a fraction of the price per GB. A new explainer covers what HBF is, how it could lower inference costs, and how close it actually is.

    buysellram.com/blog/high-bandw

    #HBF #HighBandwidthFlash #AIinference #HBM #AImemory #GPU #DataCenter #NAND #SanDisk #MemoryWall

  8. #Baseten, a San Francisco-based company, is raising $1.5bn in a dual-tiered #funding round valuing it at up to $13bn. The company provides software and computing capacity for businesses to run #AIinference, primarily using cheaper #opensource models. This funding round comes amid a surge in demand for AI inference infrastructure and a price war in the open-source model market. thenextweb.com/news/baseten-1- #tech #media #news