Expired50% confidenceFactExact time
The performance numbers reported by DeepGEMM-Ascend do not establish a match or victory over NVIDIA systems, nor do they represent whole-model throughput.
1
Sources
50%
Confidence
Short-term (~14 days)
Relevance
10/3/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 10/17/2026(expired)
Sources
Related Entities
Related Claims
UnverifiedNo significant performance improvement to the model from DeepSeek Harness was observed on benchmarks.68% similarUnverifiedDeepGEMM-Ascend's target is explicitly and exclusively Huawei Ascend, and it does not establish a universal software layer applicable to all chip vendors.65% similarUnverifiedNVIDIA's newly introduced DeepStream agent skills are not yet widely available, and conflicts between agent skills may cause issues.60% similarVerifiedDeepSeek V4.1 Flash scores lower than the previous version on GPQA, HLE, and other benchmarks.60% similarUnverifiedDeepSeek reported selected dense GEMM results approaching the hardware upper limits they claimed, measured on Ascend 950D with CANN 9.20 using L2 profiling, but these are DeepSeek's own non-independently reproduced numbers.59% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/970602API
curl https://kongchang.com/api/v1/knowledge/claims/970602MCP
get_claim(id=970602)