Nvidia · AI Agent · Hugging Face
Holo3.1: Fast & Local Computer Apply Agents
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Users want to run the same computer-use capabilities across desktop and mobile environments, with seamless integration with different agent frameworks.
Key facts
- On Spark, agent harness optimizations they developed with NVIDIA combined with the NVFP4 quantization above deliver a compound ~2× end-to-end speedup over the FP8 baseline, cutting average step time
- The speedups are substantial: on DGX Spark, NVFP4 W4A16 delivers 1.41× the total token throughput of FP8 and 1.74× that of BF16
- Performance versus cost for the Holo3.1 and Qwen 3.5 families
- Holo3.1 improves robustness across the three dimensions that matter most in production: environments (web, desktop, mobile), agent frameworks, and deployment targets
Summary
This is why they are releasing the Holo3.1 family. Holo3.1 is a major step toward their vision of universal computer-use agents: systems that can operate across environments, integrate into any agent stack, and run wherever the workflow lives. Based on the Qwen family, Holo3.1 was designed to improve robustness across the environments where computer-use agents are deployed, while retaining state-of-the-art performance. As teams moved Holo3 from evaluation to production, they repeatedly observed the same challenge: strong performance in one setting does not necessarily transfer to another.