Unverified50% confidenceFactExact time
Strata adopts a tiered hardware strategy: frequently used expert weights are placed in graphics card VRAM, while the rest are stored in system memory and retrieved when needed.
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50%
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Long-term
Relevance
10/16/2026
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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.77% similarUnverifiedStrata is an open-source framework that enables large models to run on consumer-grade hardware through a layered scheduling mechanism.72% 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71% similarUnverifiedThe core idea of device-resident simulation is to keep both the simulation state and the computation graph resident in GPU memory, so that the entire simulation-to-inference closed loop is completed entirely within the device, synchronized only through kernel launches, thereby eliminating copy overhead.66% similarUnverifiedProject Strata quantizes the Qwen3 Next 125B large model and enables it to run locally on consumer-grade graphics cards through memory scheduling.66% similar
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