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vLLM supports Kimi K3.1 Pro on day 0: sparse attention on a KDA hybrid, a packed KV cache with FP8 or NVFP4 latents and MXFP4 index keys, token-sharded prefill, decode context parallelism, and fused low-latency decode.
STCO for heterogeneous design; physical AI interactions; signing off AI-generated designs; workload profile analysis. The post Blog Review: Oct. 28 appeared first on Semiconductor Engineering.
Oracle Corp. today announced plans to make Google LLC’s TPU artificial intelligence accelerators available through its public cloud. The initiative marks the first time the search giant is supplying the chips to another hyperscaler. According to CNBC, Oracle will also add Cerebras Systems Inc.’s wafer-scale accelerators and OpenAI Group PBC’s Jalapeño inference processor. The latter […] The post Oracle brings Google’s TPUs to its cloud, adds ChatGPT integrations appeared first on SiliconANGLE.
Unprecedented demand for bandwidth calls for bringing optics closer to silicon through a fundamental rethinking of the optical interconnect roadmap. The post The imec Report: Scaling Optical Interconnects For The AI Era appeared first on Semiconductor Engineering.
