#memoryhierarchy — Public Fediverse posts

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

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.

https://www.buysellram.com/blog/inside-the-gpu-memory-hierarchy-how-ai-servers-move-data-from-ssd-to-hbm/

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

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.

https://www.buysellram.com/blog/inside-the-gpu-memory-hierarchy-how-ai-servers-move-data-from-ssd-to-hbm/

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

🚀 Wow, groundbreaking insight: KV Cache is the new "memory hierarchy" of inference! 🤔 Because, you know, we needed another reason to marvel at JavaScript's infinite wisdom in making web pages less user-friendly. 🎉 Thanks, Touchdown Labs, for this revelation—my cache is now full of sarcasm.
https://touchdown-labs.com/blog/kv-cache-memory-hierarchy-inference.html #KVCache #MemoryHierarchy #JavaScript #TouchdownLabs #WebDevelopment #HackerNews #ngated

KV Cache Is Becoming the Memory Hierarchy of Inference

https://touchdown-labs.com/blog/kv-cache-memory-hierarchy-inference.html

#HackerNews #KVCache #MemoryHierarchy #Inference #AIInference #TechTrends #MachineLearning

NVIDIA’s Inference Context Memory Storage Platform, announced at CES 2026, marks a major shift in how AI inference is architected. Instead of forcing massive KV caches into limited GPU HBM, NVIDIA formalizes a hierarchical memory model that spans GPU HBM, CPU memory, cluster-level shared context, and persistent NVMe SSD storage.

This enables longer-context and multi-agent inference by keeping the most active KV data in HBM while offloading less frequently used context to NVMe—expanding capacity without sacrificing performance. This shift also has implications for AI infrastructure procurement and the secondary GPU/DRAM market, as demand moves toward higher bandwidth memory and context-centric architectures.

https://www.buysellram.com/blog/nvidia-unveils-the-inference-context-memory-storage-platform/

#NVIDIA #Rubin #AI #Inference #LLM #AIInfrastructure #MemoryHierarchy #HBM #NVMe #DPU #BlueField4 #AIHardware #GPU #DRAM #KVCache #LongContextAI #DataCenter #AIStorage #AICompute #AIEcosystem #tech

NVIDIA’s new Inference Context Memory Storage Platform reshapes AI inference by treating KV cache as a multi-tier memory hierarchy—from HBM to NVMe SSD. This enables longer context windows, persistent reasoning, and scalable multi-agent inference while keeping hot data in GPU memory and offloading cold context to SSD.
https://www.buysellram.com/blog/nvidia-unveils-the-inference-context-memory-storage-platform/
#NVIDIA #Rubin #AI #Inference #LLM #AIInfrastructure #MemoryHierarchy #HBM #NVMe #DPU #BlueField4 #AIHardware #GPU #DRAM #KVCache #DataCenter #tech