Unverified50% confidencePredictionExact time
Even if distillation makes individual models smaller, the expansion of application scenarios and user numbers may drive greater GPU shipment volumes.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/28/2026
First Seen
Valid until: 12/27/2026
Sources
Related Entities
Related Claims
UnverifiedThe longer the context, the larger the KV Cache that needs to be stored and retrieved, and GPU memory consumption grows linearly76% similarUnverifiedWhether a model fits entirely in VRAM is more important than the absolute size of the model file; once CPU offloading occurs, the data transfer overhead between GPU and CPU negates the space advantage of a smaller model.74% 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.73% similarUnverifiedThe 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.72% similar
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