Unverified50% confidenceTradeoffExact time
The number of 2B model requests that a single GPU card can serve simultaneously is far higher than that of large models, and the per-request cost can be reduced by one to two orders of magnitude.
1
Sources
50%
Confidence
Long-term
Relevance
9/9/2026
First Seen
Sources
Related Claims
Unverified对于一个100万面的模型，LOD1可简化至25万面、LOD2简化至6万面，远距离渲染时GPU负载可降低75%以上71% similarUnverifiedGPU solutions use batching technology to combine multiple user requests for computation, which can greatly increase overall throughput and represents a trade-off between latency and throughput.68% similarUnverified潜在空间架构将计算量降低约48倍，使消费级GPU也能运行模型67% similarUnverifiedCompared to traditional contiguous allocation, PagedAttention can increase the number of concurrent requests on the same GPU by 2–4 times.67% similar
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