Post from NVIDIA AI linking to x.com

Today we’re launching the Fastino Training API for supervised fine-tuning and reinforcement learning. The Fastino Training API includes day-zero support for @NVIDIAAI Nemotron 3.5 Super VL, alongside Nemotron 3.5 Lightning. Our API gives ML and research teams low-level control over post-training without requiring them to provision GPUs or operate separate training and generation systems. A few highlights: • Write your own SFT and RL loops in Python • Train with importance sampling, PPO, CISPO, or DRO • Run grouped sampling with token log probabilities • Save and resume adapter and optimizer checkpoints • Pay per token processed, not per GPU hour • Spend 25% to 85% less than Tinker’s published rates • Migrate existing Tinker workloads by changing only the server address and API key Along with the Training API, we’re releasing two start-of-the-art open weight models fine-tuned on NVIDIA Nemotron 3.5 Super VL, specialized for finance and healthcare. Together, they improved performance across all 15 held-out benchmarks we measured. And for a limited time, we’re offering discounted pricing on training for NVIDIA Nemotron 3.5 Super VL through the Fastino Training API. Try it now: https://agent.fastino.ai/