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- 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
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