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LLM Training on Qwen2.5-7B 256K context (train)

1,301.6Throughput (tokens/sec)OOMB (Sparse Attn)
-1.104337.098675.31,013.502Feb 2, 2026

Evaluation results

MethodLinks
OOMB (Sparse Attn)Hardware=1xH200, Attention Type=Sparse, Tensor Parallel=false2026.021,301.6
OOMB (Sparse Attn)Hardware=4xH200, Attention Type=Sparse, Tensor Parallel=true2026.021,265.59
OOMB (Dense Attn)Hardware=1xH200, Attention Type=Dense, Tensor Parallel=false2026.02266.13
OOMB (Dense Attn)Hardware=4xH200, Attention Type=Dense, Tensor Parallel=true2026.02261.47
RFAHardware=4xH2002026.02218.41
Ring Attn (report)Hardware=8xA1002026.0250
Ring Attn (report)Hardware=16xTPUv42026.0249