Unverified50% confidenceBenchmarkExact time
At 64-GPU scale, TIDE reduces step time by up to 27.1% on Llama-3.1 70B, Wan2.2 and Qwen3-30B-A3B (compared with Stock FSDP2).
1
Sources
50%
Confidence
Short-term (~14 days)
Relevance
10/30/2026
First Seen
Valid until: 11/13/2026
Sources
Related Entities
Related Claims
UnverifiedGPT-OSS-20B BF16 loading was reduced from 545 seconds to 70 seconds (7.8× speedup), and Qwen3.5-397B achieved a 1.93× to 2.3× improvement.72% similarUnverifiedAt a fixed per-GPU output size, TIDE's reduce-scatter buffer remains almost constant from 16 to 64 GPUs.72% similarUnverified13B–14B class models (4-bit quantization) see speeds drop to 2–5 tokens per second under this configuration71% similarUnverifiedThe most advanced HBM3e memory bandwidth is approximately 4.8 TB/s, yet GPU compute utilization during inference often reaches only 30%–60%.69% similarUnverifiedOn a single NVIDIA A40 with fp32 and TF32 disabled, batch size 1 and greedy decoding, after GPT-2 small uses the KV cache, single-token latency at context length 1000 drops from 29.69 ms to 4.95 ms, about 6x.69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1114845API
curl https://kongchang.com/api/v1/knowledge/claims/1114845MCP
get_claim(id=1114845)