Accelerating AI research that accelerates AI research | Modal Blog

This post details how Modal's platform is used by academic researchers to accelerate AI research that itself accelerates AI research. It highlights the use of Modal for benchmarking GPU kernels (KernelBench), writing better GPU kernels than human engineers (TTT-Discover), and pursuing the automation of the entire machine learning lifecycle (RL-4-MLE). Specific technical contributions include: consistent benchmarking across hardware configurations and software environments, scalable parallel execution of kernel compilation and benchmarking on hundreds of concurrent GPUs with minimal code modification, and providing vetted, dependable, and isolated GPUs for RL systems sensitive to nondeterminism and hungry for compute.