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Corbenic wants to turn your server's SSD into AI memory, but its speedup owes more to reading less
Galahad promises exact, encrypted KV cache reuse for vLLM, SGLang, and Llama.cpp, but LMCache, Nvidia, and Phison got to the ...
Micron perps fell about 6.5% in eight minutes after DeepSeek's Flash model claimed a 75% cut in HBM usage, hitting ...
CXL computational memory chip maker XCENA secured back-to-back commercial commitments from SK Hynix and Samsung at OCP Global ...
What has DeepSeek changed?It is necessary to distinguish between the DeepSeek-V4.1-Flash announced on September 10, 2026, and ...
B" released by NVIDIA on a 16GB M4.The claim is that "increasing the loops makes it smarter, and the KV cache (memory used ...
Google team have released llm-d 1.0, the first stable version of its distributed inference stack. This open-source, ...
LLM inference can waste up to 60% of GPU compute recomputing context. WEKA explains how KV-cache offload to flash can ...
As AI workloads evolve toward inference and agentic AI, the criteria for system performance are also changing. Computing ...
An agent embedded in a mobile app or a field device needs to run locally and reconcile with the rest of the system once ...
Intel Trust Domain Extensions (TDX) for confidential computing with VMs has assumed the need to perform cache flushing when transitioning memory between KeyIDs used by the total memory encryption ...
How to size hardware for a local LLM: weights, KV cache and memory bandwidth, checked against official specs for 12 open ...
The gap between AI pilot and AI production is a data infrastructure problem that most organizations haven't even correctly ...
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