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Qwen3-235B-A22B

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Headlines · 2

  1. Prime Intellect extends Mega MoE for distributed training

    Prime Intellect says it extended DeepSeek's forward-only Mega MoE kernel with an overlapping backward pass, making the fused MoE implementation usable for distributed training. The vendor reports that its Prime Mega MoE kernels run up to 3.11 times faster than the default PyTorch implementation, while end-to-end training reaches 1.34 times the Prime-RL baseline throughput. Benchmarks used H200 GPUs with Qwen3-30B-A3B and Qwen3-235B-A22B in FP8 configurations.

    Prime Intellect Blog · 🔥 0
  2. prime-rl 0.10.0 releases with IPO default and unified evals

    Prime Intellect released prime-rl 0.10.0 and verifiers 0.4.0, making the new INTELLECT Policy Optimization (IPO) loss the default for asynchronous reinforcement learning. The release adds optimized model support, including DeepSeek V4 Flash, Qwen3.8 Flash Next and Nemotron-H, and consolidates evaluation into prime-rl. Prime Intellect reports that prime-rl was 1.15 times faster than torchtitan in its Qwen3-235B-A22B supervised fine-tuning comparison, though the benchmark details come from the vendor.

    Prime Intellect Blog · 🔥 0

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