20x Cheaper Frontier AI
Why pay for closed AI models? 💸 Enterprises are using NVIDIA Nemotron to build custom AI that's 20x cheaper.
What the video says
Closed models set a ceiling on what enterprises can inspect, tune, and improve. That is a fair characterization of the tension driving a shift toward AI ownership, per NVIDIA.
The company's open Neometron models are positioned as a foundation for complete enterprise control. Customized small models are matching frontier performance on computer-use tasks.
H Company built Holotron 3 Nano by post-training Neometron 3 Nano Omni on proprietary data. It achieved higher than 76% accuracy on the OSWorld Verified benchmark.
Other builders are driving down costs while maintaining high accuracy. By post-training Nematron on the NVIDIA Blackwell platform, RCAI achieved inference costs of roughly $0.90 per million output tokens.
According to the announcement, that is approximately 20 times cheaper than comparable closed-frontier models.
