NVIDIA GPUs 4

Cloud platform for building, tuning, and running AI models on NVIDIA GPUs. Nebius is a cloud platform designed for AI explorers, offering efficient tools to build, tune, and run AI models and applications on NVIDIA GPUs. It provides a flexible architecture, tested performance, and long-term value by optimizing every layer of the stack. Nebius also features AI Studio, a comprehensive platform for fine-tuning AI models at scale, and the AI Discovery Award for startups in drug discovery and healthtech.

AI Acceleration Cloud for fast inference, fine-tuning, and training. Together AI is an AI Acceleration Cloud providing an end-to-end platform for the full generative AI lifecycle. It offers fast inference, fine-tuning, and training capabilities for generative AI models using easy-to-use APIs and highly scalable infrastructure. Users can run and fine-tune open-source models, train and deploy models at scale on their AI Acceleration Cloud and scalable GPU clusters, and optimize performance and cost. The platform supports over 200 generative AI models across various modalities like chat, images, code, and more, with OpenAI-compatible APIs.

Managed AI infrastructure for open models, agents, and scalable private deployments FlexAI is an agent-native AI infrastructure platform that provides managed inference for more than 20 open-weight models through one OpenAI-compatible API key. It supports text, vision, code, reasoning, embeddings, speech, audio, and image-generation workloads. Users can start with serverless model access, then scale to dedicated GPU endpoints, fine-tuning, and private AI cloud deployments across VPC, on-premises, or air-gapped environments. FlexAI also offers agent tools such as tool calling, streaming, structured outputs, approvals, governance, and audit trails.

AI Cloud Platform for training and inference with NVIDIA GPUs. Fluidstack is a leading AI Cloud Platform designed for training and inference, providing instant access to thousands of NVIDIA GPUs, including H100s and A100s. It enables enterprises to train foundation models and run inference at scale. Fluidstack offers fully managed infrastructure with Slurm and Kubernetes, ensuring high availability and support with 15-minute response times and 99% uptime. They provide large-scale GPU clusters designed for training and inference, deployed on their managed cloud infrastructure, and on-demand GPU instances that can be launched in under 5 minutes.