OpenAI is now bringing in $2 billion a month — and 3 more highlights from its latest update - MarketWatch
<a href="https://news.google.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?oc=5" target="_blank">OpenAI is now bringing in $2 billion a month — and 3 more highlights from its latest update</a> <font col
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Gemma 4 is a KV_cache Pig
Ignoring the 8 bit size of Nvidia’s marketed 4 bit quantization of the dense model… The dense model KV cache architecture uses 3x or more the memory than what I have seen with other models. It seems like the big choice was 256 head dim instead of 128. I am looking at 490KB per 8 bit token of KV cache versus 128KB on Qwen3. I am running the nvidia weights at 4 bit on an rtx pro 6000 with 96GB of RAM and 8 bit kv cache and still only have room for 115k tokens. I was surprised is all. The model scales well in vllm and seems quite smart. submitted by /u/IngeniousIdiocy [link] [comments]

Memory will consume 30% of hyperscaler AI data center spending this year, a 4X increase over 2023 — Nvidia gets preferential supply terms well below standard market rates, says analyst firm - Tom's Hardware
Memory will consume 30% of hyperscaler AI data center spending this year, a 4X increase over 2023 — Nvidia gets preferential supply terms well below standard market rates, says analyst firm Tom's Hardware
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Memory will consume 30% of hyperscaler AI data center spending this year, a 4X increase over 2023 — Nvidia gets preferential supply terms well below standard market rates, says analyst firm - Tom's Hardware
Memory will consume 30% of hyperscaler AI data center spending this year, a 4X increase over 2023 — Nvidia gets preferential supply terms well below standard market rates, says analyst firm Tom's Hardware




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