HBM3
PulseAugur coverage of HBM3 — every cluster mentioning HBM3 across labs, papers, and developer communities, ranked by signal.
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JEDEC's SPHBM4 Standard Slashes AI Memory Costs
JEDEC has introduced a new standard, SPHBM4, designed to reduce the cost of High Bandwidth Memory (HBM) used in AI processors. This standard utilizes a narrower 512-bit interface and allows for the use of less expensive…
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Nvidia H100 GPU Pricing and Alternatives in 2026
In 2026, the Nvidia H100 GPU remains a critical component for AI infrastructure, with purchase prices ranging from $30,000 to over $40,000. Cloud rental costs vary significantly, with specialized GPU clouds offering low…
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Furiosa AI's Renegade chip could boost local LLMs
South Korean startup Furiosa AI has developed a new inference chip, the Renegade, built on a 5nm node with 48GB of HBM3 VRAM and 1.5TB/s memory bandwidth. While initially not intended for the consumer market, the chip h…
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Idle GPU power cost driven by CUDA context, not VRAM
Researchers have quantified the energy cost of keeping AI models loaded on GPUs, a practice known as "model parking." Their study found that the primary energy drain comes from the CUDA context, which adds 26-66W of idl…