Introducing our Training API
Spindle is an open-source API for training and fine-tuning open models — deploy a server with a single command and run any Tinker-compatible training code against it.
Spindle is an open-source API for training and fine-tuning open models — deploy a server with a single command and run any Tinker-compatible training code against it.
Reinforcement learning for LLMs is hard, so we built Modal Dojo — a library that gives you the building blocks, tuned defaults, and observability to get started with production-grade LLM training.
Voice agents, multiplayer games, and other workloads can now build on Sticky Sessions. Achieve strong affinity without losing autoscaling. Here’s how we built this on Modal Servers.
We benchmarked NVIDIA's new Arm-based Vera CPU on agentic Sandbox workloads. Under heavy load, it completes far more tasks than the x86 and Graviton alternatives, without sacrificing latency.
How we made VM Sandbox filesystems fast by speaking in blocks instead of files.
Muse Spark Open, a coding-optimized multimodal model from Meta, is now available on Modal Auto Endpoints.
Modal has crossed $1B in annualized run rate and raised a $750M Series D led by Accel to build new infrastructure for AI applications. We can't think of a better time to be building software.
We trained a model on agentic coding tasks using fully asynchronous RL and mixed-precision, mixed-accelerator samplers. With off-policy correction, training stayed stable through convergence, on par...
Test and promote inference endpoints to evaluate quality, latency, throughput, and cost.
TypeSafe AI launched Jev, a new class of AI model built for automation, and scaled to trillions of tokens over a weekend on Modal.