Holo4 open models target long computer-use workflows
H Company has released Holo4 computer-use models and weights through Hugging Face, including 27B and 35B-A3B variants. Its own tests report improved long-workflow performance and publish trajectories for inspection. The company also offers hosted access through its API. Benchmark settings differ across vendors, so teams should test actual tasks, costs and failure recovery before adoption.
NVIDIA moves to acquire Hugging Face, pledging to preserve its open AI platform
NVIDIA has agreed to acquire Hugging Face for US$12.93 billion, promising the model hub will remain open, multi-cloud and multi-accelerator. The proposed deal would pair Hugging Face's developer community and catalogue with NVIDIA infrastructure, model evaluation, inference and deployment resources, while leaving developers free to choose hardware, models and services.
Hugging Face and NVIDIA Scale Diffusion Model Fine-Tuning
Hugging Face and NVIDIA have integrated Diffusers-format image and video models with NeMo Automodel for distributed fine-tuning. The Apache 2.0 tooling supports direct Hub checkpoints, configurable parallelism and ready-made recipes for models including Wan, FLUX, HunyuanVideo and Qwen-Image.
Hugging Face Discloses AI-Driven Infrastructure Breach
Hugging Face has disclosed an intrusion that began through malicious dataset-processing paths and led to access to internal datasets and service credentials. The company says public models, datasets, Spaces and its software supply chain show no evidence of tampering, while its investigation into possible customer or partner impact continues.