#aihardware

Two years ago an H100 was almost impossible to rent. Now cloud H100s list near $4 per GPU-hour, and used hardware has fallen just as hard. So which is cheaper, renting or owning? It comes down to utilization. A used 8-GPU H100 server can pay for itself in about 8 months at full load, but not for years if it sits at 30%. And resale value, which most comparisons skip... https://www.buysellram.com/blog/cloud-h100s-rent-for-4-an-hour-now-does-owning-gpus-still-pay/ #GPU #H100 #NVIDIA #CloudComputing #MachineLearning #DataCenter #ITAD #GPUcloud #AIhardware

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

Taalas just emerged from stealth with a claim that’s shaking the hardware world: 17,000 tokens per second on Llama 3.1 8B. How? By physically etching the AI model directly into the silicon transistors. No HBM. No liquid cooling. Just raw, hardwired performance that is 10x faster and 20x cheaper than traditional GPU inference. https://www.buysellram.com/blog/17000-tokens-second-is-taalas-hardwired-silicon-the-ultimate-solution-to-the-ai-memory-wall-and-hbm-shortage/ #AI #ArtificialIntelligence #AIHardware #DataCenter #MemoryWall #HBMShortage #InferenceFactory #HardcoreAI #ASIC #Taalas #NVIDIA #technology