Unverified50% confidenceFactExact time
DeepInfer lets the CPU schedule the next batch of requests in advance while the GPU is running the current batch, enabled by default; expert replicas are rebalanced every 10,000 steps, the most unevenly loaded GPU differs from the average load by only 9%, and batch invariance is achieved.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/23/2026
First Seen
Valid until: 1/21/2027
Sources
Related Entities
Related Claims
UnverifiedFor MoE, DeepSeek keeps a spare slot on each GPU for a copy of a hot expert, and the system moves these copies every few thousand steps based on traffic conditions.77% similarUnverifieddeepseek-harness supports local inference, with model weights loaded directly onto the user's own GPU/CPU to complete forward computation, so data does not leave the local machine.72% similarUnverifiedDeepSeek-Infer uses One-step Scheduling, overlapping scheduling decisions with GPU computation to hide scheduling overhead.71% similarVerifiedIn deep learning, GPUs can achieve a 10–100x speedup compared to CPUs.69% similar
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