RL-Align

Every mismatch facing the unknown deserves a deterministic response. Who says open source only lives in terminals? We want to build a warm community. To thank every Contributor, Member, and Partner for building RL-Kernel with us, we created custom textured postcards. Printed on the front: Every Rollout into the unknown deserves a deterministic response. These postcards won't be sold. The first 50 Contributors, Members, and Partners will get one mailed directly from Singapore. Code is logical, but the people building an open-source project from scratch are real and warm. When this postcard lands on your desk, remember: every PR you submitted is a real part of RL-Align (rl-align.github.io/rl-kernel…). See you in the next rollout. ❤️ #RLAlign #RLKernel #RL #AIInfra #Github

Inference vLLM and training Megatron execution graphs never quite align. Single-operator boundaries break down, and treating kernels from one side as a drop-in contract simply doesn't work. That's why we built RL-Kernel 🚀 Today, we’re dropping our first milestone: an operator-level training-inference consistency analysis & roadmap preview for DeepSeek V4 Flash MoE. Our goal is to build reusable, hardware-agnostic infrastructure bridging both worlds. If your daily stack involves writing low-level CUDA/Triton kernels or wrestling with vLLM & Megatron MoE distributed comms, you'll feel right at home here. We're fully open-source and looking for core contributors. We'll be dropping the DS V4 roadmap in our GitHub issues over the next week or so, complete with detailed task breakdowns. External contributors are more than welcome to jump in! Grab an issue, join us, and let's ship this together! 👇 Read the Blog : rl-align.github.io/RL-Kernel… #RLKernel #DeepSeek #AIInfrastructure #RLHF #CUDA #Triton #MoE #RLAlign #ROCm – at Central Region, Singapore