Post from NVIDIA AI linking to x.com

Today we’re launching the Fastino Training API, a low-level post-training API for running SFT and RL loops on hosted GPUs, along with day-zero support for @NVIDIAAI Nemotron 3.5 Super VL. The API gives users control over the training loop, data, rewards, and evaluations, while handling the infrastructure for model execution, sampling, gradient computation, weight updates, and checkpoints. The Fastino Training API is fully compatible with the Tinker SDK and cookbook, so teams can run existing SFT and RL workflows on it without rewriting their training loops. Switching over from Tinker can reduce post-training costs by 25% to 85%, and setup is easy. Just swap the server address and API key in your environment, and your training and sampling clients, model configurations, and tooling stay the same. In addition to day-zero support for Nemotron 3.5 Super VL, the Fastino Training API supports training for Nemotron 3.5 Lightning. To celebrate the launch of the model, we’re offering a limited-time discount on training for Nemotron 3.5 Super VL on the Fastino Training API. We’re also releasing two open weight specialized models fine-tuned from NVIDIA Nemotron 3.5 Super VL using the Fastino API, one for finance and one for healthcare. Both models showed improved performance across all 15 benchmarks we measured. Start training: https://agent.fastino.ai/ Read the launch blog: https://fastino.ai/blog/fastino-training-api