Scale AI Post-Trains NVIDIA Nemotron 3.5 Super VL
Post-training a smaller open NVIDIA model to match frontier accuracy at 1/40 the inference cost is a concrete signal that domain-specific fine-tuning can undercut flagship APIs for production agent workloads. Teams running high-volume ticket or support agents should benchmark Nemotron 3.5 Super VL against their current frontier model on cost and latency. The Skydance collaboration shows enterprises bringing their own production data to post-training partners.
At NVIDIA GTC Berlin, Jensen Huang highlighted Scale AI's work with Skydance to post-train NVIDIA Nemotron 3.5 Super VL. On real production tickets, the resulting agent matched frontier-model accuracy at roughly 1/40 the inference cost and 5x the speed. The post-training work was showcased on stage at GTC Berlin.
At #NVIDIAGTC Berlin, @JensenHuang highlighted our work with @Skydance to post-train @NVIDIAAI Nemotron 3.5 Super VL.
On real production tickets, the agent matched frontier-model accuracy at ~1/40 the inference cost and 5x the speed. https://t.co/duP6CgADi6
