DeepSeek Open-Sources DeepInfer Inference Framework, Criticized for Missing KV Cache and Load Balancing
DeepSeek open-sourced the DeepInfer inference framework. Critics note it still lacks KV cache and load balancing for large-scale deployment, though its claimed throughput can be reproduced with 3-4K GB200 servers, and early testing ran decode on 64 SM100 GPUs.
2026-10-21 ~ 2026-10-21 · 2 related posts
- Episode 1: DeepSeek Open-Sources DeepInfer Inference Framework(2026-10-20, 51 posts)
- Episode 2: Claim: DeepSeek hits $1B ARR needing only a few thousand GPUs(2026-10-20, 5 posts)
- Episode 3: DeepSeek discloses inference economics: 155T tokens/day per cluster, $38 per GPU-hour(2026-10-21, 8 posts)
- Episode 4: DeepSeek Open-Sources DeepInfer Inference Framework, Criticized for Missing KV Cache and Load Balancing(2026-10-21, 2 posts)
- Episode 5: swyx vs willcb: How Big a Deal Is DeepSeek's Open Inference Stack(2026-10-21, 3 posts)
- DeepInfer lacks KV caching, load balancing and disagg, but 3-4K GB200s can match DeepSeek's reported throughput — teortaxesTex · 2026-10-21
- DeepInfer repo needs 64 SM100 GPUs for decode, still lacks a full serving stack — AIFlow_ML · 2026-10-21