High-IOPS SSDs for ๐ง AI: What do GPU-initiated storage requests require?
BaM, GIDS and SCADA enable GPUs to initiate I/O directly, creating demand for high random IOPS, low latency and massive parallelism at small block sizes.
๐ https://t.co/s6BSbzzh11
#serverhardware#happyware
๐ง New article: RAG server hardware requirements. How does RAG combine vector search and LLM inference to deliver AI answers grounded in enterprise knowledge?
Explore the hardware requirements๐ https://t.co/ifdT92lxIT
#serverhardware#happyware#rag#aiservers
๐ B300 Servers: What does it take to build a complete AI server around NVIDIA HGX B300? Which system architecture is appropriate for your AI infrastructure? ๐ Read our technical article: https://t.co/9svvyLssYd
#b300server#hgxb300#aiinfrastructure#serverhardware#happyware
NVIDIA MIG creates hardware-isolated GPU instances with dedicated memory and compute. Unlike vGPU or time-slicing, a fault in one instance cannot propagate to others โ partitioning happens at the SM and memory controller level.
https://t.co/I4YDUvrw9o
#nvidiamig#datacenter
๐ New article: AI inference hardware requirements. A 70B model needs ~140 GB for FP16 weights alone. But GPU memory capacity isn't everything: bandwidth can limit token generation.
๐ https://t.co/hov2HGJUXd
#aiinfrastructure#llm#serverhardware#happyware
๐ New comparison: AMD Instinct MI455X vs. NVIDIA Rubin.
40.3 vs. 50 PFLOPS? Different 4-bit formats make direct comparisons misleading. Explore HBM4, FP64 and ROCm vs. CUDA.
๐ https://t.co/zRVGGxU12o
#serverhardware#happyware#hbm4#aiinfrastructure
๐ One socket or two? ๐ https://t.co/kwpT1VAvyF
AMD EPYC 8004 (Siena) offers up to 64 cores, 6 DDR5 memory channels and 96 PCIe Gen5 lanes. When is a single-socket server enough?
#AMD#EPYC#Servers
๐ New in our Knowledge Base: HBM4: What changes for AI servers? HBM4 doubles the memory interface width to 2048 bits. Discover what this means for AI accelerators, including NVIDIA Rubin and AMD MI455X.
๐ https://t.co/hFb4Z2h5vA
#HBM4#AIservers#serverhardware#happyware
#Supermicro Microcloud - Optimized for Energy Efficiency, Density & Performance!
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High-End Liquid-Cooling GPU Workstation with #AMD Ryzen 9 and #NVIDIA RTX A4000
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#Happyware VI-SCI25GPIP-BNN: Perfect for CAD/CAM. Say goodbye to overheating with its passive cooling system and rugged build! ๐ฌ๏ธ
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๐ Virtualization & Software-defined Storage
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