
Train and deploy vision AI at scale
Nebius provides the GPU infrastructure, high-throughput video storage, and managed inference to build, fine-tune, and deploy vision language models from raw footage and images to production-ready APIs.
Sustained GPU access for VLM training
Large-scale, uninterrupted GPU clusters for fine-tuning vision language models on real-world video and image data. With low interruption rates and automated recovery, your training runs finish on schedule.
High-throughput storage for video
Enhanced Object Storage delivers up to 2 GB/s per GPU for video dataset hydration. Handle dense multimodal datasets, including 4K video, sensor streams, annotated image libraries.
Vision models ready to serve
Nebius Token Factory offers 60+ models including vision-language models such as Qwen2.5-VL-72B-Instruct and Kimi-K2.6 via a simple OpenAI-compatible API — for image captioning, visual Q&A, content moderation, and more, with no GPU management required.
What vision AI teams can do with Nebius
Fine-tune VLMs on real-world video
Curate real-world video into annotated training data and fine-tune models like NVIDIA Cosmos Reason into use-case-specific VLMs for industrial monitoring, smart cities, and safety applications. Nebius provides the GPU clusters, storage pipelines, and orchestration to keep training runs stable and cost-efficient.
Curate and annotate visual datasets
Run Voxel51 FiftyOne workflows on Nebius GPU clusters to auto-label, curate, and quality-check visual datasets at scale. Reduce the time between data collection and model-ready training sets.
Serve vision models via API
Use Nebius Token Factory to deploy vision-language models, including Qwen and your own fine-tuned checkpoints. Get sub-second inference with no infrastructure overhead, accessible through a familiar OpenAI-compatible API.
Run video inference at scale
Scale video understanding and generation workloads on NVIDIA L40S or RTX PRO 6000 GPU instances purpose-built for visual compute. Higgsfield AI runs production video inference on Nebius with 40% cost efficiency gains versus alternative providers.