v26.08.00

Added

• FP8 support for Qwen3 235B and 30B pretrain on GB300, GB200, B300, and B200.
• Qwen3 235B FP8 in the Exemplar suite on GB300, GB200, B300, and B200.
• MLPerf pretrain recipes for GPT-OSS 20B and Llama 3.1 8B, and an MLPerf Llama 2 70B LoRA finetune recipe.
• llmb-collector system report microbenchmark (opt-in).
• llmb-run submit --mbridge-arg passthrough for Megatron-Bridge workload arguments.
• AWS EFA container guidance for verifying and updating EFA support.

Changed

• Renamed the project to Exemplar Performance; the clone URL is now https://github.com/NVIDIA/exemplar-performance.git.
• Updated recipes to NeMo 26.06.01 where applicable, including DeepSeek V3, GPT-OSS 120B, Llama 3.1, Llama 3 LoRA finetune, Nemotron 3, Qwen3, and the NCCL and system info microbenchmarks. Nemotron-H remains on NeMo 26.04.01.
• Llama 3 LoRA finetune now runs in offline mode to match other recipes.

Removed

• FP8 for Nemotron 3 Super 120B on B200.
• H100 support from the Kimi-K2 recipe.
• NVFP4 for DeepSeek V3 on B200.

Known Issues

• EFA limitations remain for DeepSeek V3 (Megatron-Bridge H100, TorchTitan, RL), Nemotron-H, and Qwen3 (30B H100, 235B H100); see Known Issues section of README for details.
• Optional PCT fixed-core CPU binding may improve select workloads on B300 Granite Rapids systems where PCT is enabled. Validate the cluster's PCT core layout before enabling ENABLE_PCT_BINDING=true or applying the patch described in the README.

End of Support

• LLMB v26.05.x and earlier are no longer supported as of v26.08.00. These release lines will not receive further updates, fixes, or support.