Unverified50% confidenceFactExact time
The technical approach of this PR is to establish a caching layer on the GPU side for MoE expert weights stored in host memory (system RAM).
1
Sources
50%
Confidence
Long-term
Relevance
10/7/2026
First Seen
Sources
Related Entities
Related Claims
Partially VerifiedStrata's core approach is to have the CPU compute directly in memory in-place when an expert is not on the GPU, while the GPU processes cached experts in parallel, making memory a second compute domain rather than slow virtual VRAM.71% similarVerifiedllama.cpp supports hybrid CPU and GPU inference (layer offloading), allowing partial model layers to be loaded into GPU VRAM while the remaining layers are kept in memory70% similarUnverifiedThe HPC/GPU engineer direction involves parallel programming frameworks such as CUDA, ROCm, and SYCL, as well as the SM architecture and warp scheduling mechanism of GPUs68% similarUnverified专家卸载策略将不常激活的专家留在 CPU 内存，路由器选中时才临时搬运至 GPU 显存68% similarUnverifiedThe core idea of agentic GPU programming is to have LLM agents take on the repetitive work of writing and tuning low-level code, forming a closed loop by generating candidate kernels, compiling and running them, reading performance feedback, and then iteratively optimizing67% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/985469API
curl https://kongchang.com/api/v1/knowledge/claims/985469MCP
get_claim(id=985469)