Prime Intellect extends DeepSeek's Mega MoE kernel with a fused backward pass
Overview
Prime Intellect releases Prime Mega MoE, which adds a fused, overlapping backward kernel to DeepSeek's Mega MoE, a kernel that fuses MoE routing, dispatch, compute and return.
DeepSeek's version covers only the forward pass. Prime Intellect says the kernel runs the forward pass up to 3.11× faster and the backward pass up to 1.87× faster per MoE layer than its prime-rl baseline, and up to 2.47× faster for the full layer with activation checkpointing.
At the training-step level, the company reports steps 34% faster on Qwen3-30B-A3B and 32% faster on Qwen3-235B-A22B than the prime-rl baseline, and 48% and 55% faster than TorchTitan on the same models. MarkTechPost reports the same figures and says the kernel supports BF16, MXFP8 on Blackwell, and blockwise FP8 on Hopper, shipping in prime-rl under Apache 2.0. All benchmark figures are Prime Intellect's own.
Written by AI from the articles below · updated Oct 29, 3:27 PM ET
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Developments
4 developments
- Oct 29, 1:41 PM ET · 1 articlePrime Intellect compares Prime Mega MoE per-layer speed against prime-rl baselinePrime Intellect: Prime Intellect's Mega MoE speeds up MoE layers up to 2.47×
- Oct 29, 1:41 PM ET · 1 articlePrime Intellect compares Prime Mega MoE with prime-rl baseline on training speedPrime Intellect: Prime Intellect's Mega MoE trains Qwen3 models 32–34% faster
- Oct 29, 1:41 PM ET · 2 articlesPrime Intellect introduces Prime Mega MoE, a fused forward and backward MoE kernelMarkTechPost: Prime Intellect releases Prime Mega MoE, a trainable fused MoE kernel
- Oct 29, 1:41 PM ET · 2 articlesPrime Intellect reports prime-rl with Mega MoE trains 48% and 55% faster than TorchTitanPrime Intellect: Prime Intellect makes DeepSeek's Mega MoE kernel trainable
Article timeline
The articles in this story. Times are ET.
- MarkTechPostNewsPrime Intellect releases Prime Mega MoE, a trainable fused MoE kernel
AIPrime Intellect has released Prime Mega MoE, a training extension of DeepSeek's Mega MoE kernel that adds a fused, overlapping backward pass. Self-reported tests on Qwen3 MoE models show full training steps 32% to 34% faster than the prime-rl baseline and 48% to 55% faster than TorchTitan, with the forward pass up to 3.11x faster on a 30B layer. The kernel supports BF16, MXFP8 on Blackwell, and blockwise FP8 on Hopper, and ships in prime-rl as the mega_moe dispatch backend under Apache 2.0.
Prime Intellect@PrimeIntellectOfficialPrime Intellect's Mega MoE speeds up MoE layers up to 2.47×AIPrime Intellect says its Prime Mega MoE runs the forward pass up to 3.11× faster and the backward pass up to 1.87× faster than its prime-rl baseline per MoE layer. With activation checkpointing, the full layer is up to 2.47× faster.

Prime Intellect@PrimeIntellectOfficialPrime Intellect's Mega MoE trains Qwen3 models 32–34% fasterAIPrime Intellect says its Prime Mega MoE cuts training step time by 34% on Qwen3-30B-A3B compared with its prime-rl baseline. On Qwen3-235B-A22B, the company reports a 32% faster training step.

Prime Intellect@PrimeIntellectOfficialprime-rl with Mega MoE trains Qwen3 MoE models faster than TorchTitanAIPrime Intellect says prime-rl with Mega MoE completes training steps 48% faster than TorchTitan on Qwen3-30B-A3B. On Qwen3-235B-A22B, the same comparison shows steps 55% faster.

Prime Intellect@PrimeIntellectOfficialPrime Intellect releases Prime Mega MoE with overlapping backward kernelAIPrime Intellect says Prime Mega MoE fuses MoE routing, dispatch, compute, and return into fast overlapping kernels that keep GPUs from waiting on communication. It extends DeepSeek's Mega MoE, which fuses these steps in the forward pass, by adding a backward kernel that covers both passes.

Prime Intellect@PrimeIntellectOfficialPrime Intellect makes DeepSeek's Mega MoE kernel trainableAIPrime Intellect says it made DeepSeek's Mega MoE kernel trainable. On two Qwen3 models, it reports up to 55% faster MoE training than TorchTitan and up to 34% faster hosted training with prime-rl.

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