SOFTWARE & SYSTEMS

Kernel / Triton GPU optimization

Kernel / Triton GPU optimization is an OpenEnv-compatible reinforcement learning environment in our Software & Systems catalog. An agent acts through the tools below, and a deterministic verifier scores every episode, so the reward can be used for GRPO or other RLVR post-training.

Task and verification

Optimize PyTorch operators with Triton or CUDA. Hidden numerical corner cases, numerical precision guarantees, and stable GPU timing gate the speed reward.

Tools and runtime

PyTorch + Triton + CUDA kernel benchmarking

OPENENV / GPU

Related Software & Systems gyms

• Lean 4 formal theorem proving
• SQL transformation & query optimization
• Database query plan performance tuning
• Compiler optimization pass verification
• Concurrency race & deadlock repair
• Production incident reproduction & RCA
• Mutation testing & test suite hardening
• Automated software migrations & refactoring
• Enterprise network verification (Batfish)
• Protocols & distributed safety (TLA+)
• Quantum-circuit compilation & routing
• Research mathematics & symbolic conjectures
• Desktop OS agentic computer use (QEMU)
• Cloud cost optimization under strict SLOs

See how these environments are run privately on the custom RL environments page, and how their rewards are made hard to game in our verifier design guide.

Plan a training run

Check the environment’s availability, compatible models and compute in Studio. A catalog entry does not guarantee that hosted training is enabled for your workspace.