HBM3
PulseAugur coverage of HBM3 — every cluster mentioning HBM3 across labs, papers, and developer communities, ranked by signal.
3 day(s) with sentiment data
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LLM Decode Speed: Bandwidth and KV Cache Limit Performance on H100
A technical analysis reveals that for large language models running on hardware like the NVIDIA H100, decode speed at batch size one is primarily determined by memory bandwidth rather than compute power. The "ridge batc…
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AI chip demand fuels massive revenue surge for memory makers, but supply remains tight
Memory chip manufacturers like Samsung, SK Hynix, and Micron are experiencing significant revenue growth due to sustained high demand for AI-related hardware. Despite this boom, customers are facing tight supplies and e…
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LLM inference bottlenecked by memory bandwidth, not compute
Large language models are primarily bottlenecked by memory bandwidth rather than computational power, a challenge that persists across GPU generations. The "Decode" operation, which involves reading model weights and KV…
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AI drives memory chip prices to stratospheric levels, benefiting major manufacturers
Memory chip prices, particularly for high-bandwidth memory (HBM) and NAND flash, are experiencing a significant surge, with Gartner projecting the market to reach $1.6 trillion. This boom is largely driven by the insati…
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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…