Cloud infrastructure platform designed for AI workloads, offering scalable GPU clusters with NVIDIA hardware and optimized orchestration for training and inference.
Cloud infrastructure platform designed for AI workloads, offering scalable GPU clusters with NVIDIA hardware and optimized orchestration for training and inference.
Nebius AI Cloud is an Infrastructure platform that delivers GPU-accelerated compute for AI training and inference workloads, with pricing available through pay-as-you-go and reserved contracts (contact sales for personalized quotes). It targets ML engineering teams, AI research labs, and startups building foundation models or large-scale inference pipelines.
Based on our analysis of 870+ AI tools in the AI Tools Atlas directory, Nebius stands out in the Infrastructure category by combining full-stack control over its own hardware with elevated NVIDIA partnership status — Nebius holds Reference Platform NVIDIA Cloud Partner status, a tier reserved for providers operating large clusters aligned to NVIDIA's tested reference architecture. The platform provides access to the latest NVIDIA GPU generations including GB300 NVL72, GB200 NVL72, B300, B200, H200 and H100 accelerators, interconnected via NVIDIA InfiniBand and Quantum-X800 InfiniBand networking. Nebius operates ISEG, ranked the #19 most powerful supercomputer in the world, located 60 kilometers from Helsinki, Finland, and has designed its own servers and racks to optimize each layer of the stack for AI workloads.
Customers span gene-editing research (CRISPR-GPT, developed by scientists from Stanford, Princeton and Google DeepMind, achieving 80-90% first-attempt efficiency for novice researchers), privacy-focused web search (Brave Software serves 1.3 billion search queries per month and delivers 11M+ AI-generated answers daily using Nebius with nearly 100% compute utilization), open-source LLM serving (the Linux Foundation's vLLM project uses Nebius clusters to optimize DeepSeek R1 inference), generative design (Recraft trained a 20B-parameter foundation model scoring 54% preference over Midjourney v6 on PartiPrompts), AI music generation (Wubble), and quantum chemistry for drug discovery (Simulacra AI, Quantori). Compared to other Infrastructure providers in our directory such as Lambda Labs, CoreWeave, and RunPod, Nebius differentiates through its EU-based data centers with strict compliance support, managed Kubernetes and Slurm orchestration, fully managed services (MLflow, PostgreSQL, Apache Spark), Terraform/API/CLI cloud-native tooling, and 24/7 solution architect support offered free of charge — CentML reported 5x lower costs compared to other major providers after migrating workloads to Nebius.
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Nebius offers GB300 NVL72, GB200 NVL72, B300, B200, H200, and H100 Tensor Core GPUs, all interconnected with NVIDIA InfiniBand and Quantum-X800 InfiniBand networking. As a Reference Platform NVIDIA Cloud Partner, the clusters are built to NVIDIA's tested and optimized reference architecture, so performance is predictable across multi-node runs.
You can orchestrate thousands of GPUs in a single cluster using Managed Kubernetes or Slurm-based clusters, paired with fast storage. This gives teams the choice between modern cloud-native orchestration and traditional HPC scheduling without maintaining either control plane themselves.
Nebius provides zero-effort managed deployments of MLflow, PostgreSQL, and Apache Spark alongside compute. Teams can track experiments, store metadata, and run distributed data preparation jobs without operating the supporting infrastructure.
The platform is fully manageable through Terraform, API, and CLI, with an intuitive web console for interactive work. Ready-to-go Terraform recipes and tutorials accelerate setup of common patterns like distributed training clusters or inference deployments.
Every customer gets 24/7 expert support and dedicated solution architect assistance for multi-node workloads free of charge. An in-house AI R&D team dogfoods the platform, which means engineering decisions are informed by real ML practitioner pain points rather than theoretical benchmarks.
On-demand from ~$2.50/GPU/hr
On-demand from ~$3.50/GPU/hr
Contact sales for current pricing
Contact sales for current pricing
Custom pricing (significant discounts vs. on-demand; CentML reported 5x savings vs. hyperscalers)
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Nebius elevated its NVIDIA Partner Network status to Reference Platform Cloud Partner, a tier reserved for select partners operating large clusters built in coordination with NVIDIA's tested reference architecture. The GPU catalog now includes the latest NVIDIA GB300 NVL72, GB200 NVL72, B300, and B200 accelerators alongside H200 and H100. Nebius also launched the AI Discovery Award 2026, an annual program offering $100,000 in cloud credits to startups working on AI for drug discovery, biotechnology, genomics, and HealthTech, with applications open until April 30, 2026. A Nebius Token Factory offering has also been added as a managed inference endpoint complement to the core AI Cloud.
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Cloud infrastructure platform providing GPU-accelerated compute services specifically designed for AI and machine learning workloads.
AI infrastructure
Together AI review for developers: serverless inference, batch APIs, fine-tuning, GPU clusters, pricing notes, pros and cons.
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