Operationalize AI
models faster
Nebius AI Cloud gives enterprises the GPU infrastructure, platform services and expert support to build, train and deploy AI at scale without the complexity of managing it all.
Build, train and deploy AI on a neocloud platform.
GPU clusters in hours, not weeks
Access NVIDIA accelerated computing with pre-installed drivers, self-service access and engineering support from day one.
Training that
doesn’t break
Fault-tolerant infrastructure with node health monitoring and auto repair keeps training jobs running even at massive scale.
Bare-metal
performance
Non-virtualized infrastructure maximizes Model FLOPS Utilization and delivers performance on par with industry benchmarks.
Eliminate DevOps
overhead
Integrated observability, managed orchestrators and documented APIs remove DevOps friction from ML lifecycle.
Security
by default
Soc 2 TYPE II (including HIPAA), ISO 27001 and ISO 27701-certified with Business Associate Agreements (BAAs) available for healthcare workloads and GDPR compliance supported via Data Processing Agreement.
Integrate the ML tools that teams rely on
Deep integration with popular ML platforms, tools and services, so teams can start delivering results immediately.
Full-stack neocloud AI platform architecture
Nebius AI Cloud: The services that power every stage of Enterprise AI.
Compute
AI-optimized GPU clusters on the latest NVIDIA hardware are available in hours, with bare-metal performance and no virtualization overhead.
Storage
High-performance storage is built for AI workloads, from high-speed dataset streaming and rapid checkpointing to multi-modal data at any scale.
Serverless AI
Run GPU workloads in minutes without cluster setup, driver configuration or infrastructure overhead and pay only while workloads are running.
Managed Kubernetes
Rely on a fully managed container orchestrator with pre-installed NVIDIA GPU and InfiniBand drivers, optimized for distributed AI training and real-time inference.
MLflow
This fully managed ML lifecycle platform requires zero infrastructure maintenance and enables experiment tracking, model management and pipeline visibility.
Managed Slurm
Use Slurm-on-Kubernetes for large-scale AI training. It has one-click cluster setup, fault-tolerant job scheduling and maximum GPU utilization out of the box.
Container Registry
Secure, reliable Docker image storage is co-located with your cloud infrastructure for faster operations and lower costs across the AI lifecycle.
AI cloud infrastructure powered by NVIDIA GPU hardware.
Dedicated NVIDIA GPU Clusters
The TD SYNNEX x Nebius AI Cloud Flagship
As the infrastructure at the heart of the TD SYNNEX x Nebius AI Cloud, dedicated NVIDIA GPU Clusters are purpose-built to deliver maximum throughput and TCO efficiency for the most demanding AI workloads.
NVIDIA GB200 NVL72
Liquid-cooled and rack-style, the NVIDIA GB200 NVL72 handles heavy model training and delivers exceptionally low latency for reasoning model inference.
NVIDIA
HGX B300
Built for the age of AI reasoning, the NVIDIA HGX B300 enables the next wave of accelerated computing for enterprise data centers.
NVIDIA
HGX B200
Powered by Blackwell architecture, the NVIDIA HGX B200 is optimized for building and running reasoning LLMs, multi-model models and agentic AI.
Frequently asked questions:
What is a neocloud?
A neocloud is a next-generation AI cloud that’s designed specifically for AI workloads, providing dedicated GPU infrastructure, high-speed networking and integrated tools for building, training and deploying AI models.
How is a neocloud different from
traditional cloud platforms?
Neocloud platforms are purpose-built for AI, offering dedicated GPU infrastructure and optimized performance, while traditional cloud platforms are designed for general-purpose workloads.
What is an AI cloud?
An AI cloud is a cloud-computing environment that’s optimized for artificial intelligence workloads, offering GPU-powered compute, scalable storage and tools for training and deploying AI models.
What are the benefits of using an AI cloud for enterprise AI?
AI cloud platforms provide scalable GPU compute, faster training times, integrated tools and reduced infrastructure complexity for enterprise AI deployment.
Trusted by clients across industries
A biotech pioneer used Nebius GPU infrastructure to train large-scale cancer immunotherapy models, discovering immune patterns previously invisible to researchers.
3B+
parameter models fine-tuned using proprietary cancer data sets
0.94
ROC-AUC TLS prediction result without spatial coordinates
20 seconds-
20 minutes
training per epoch on 100K-cell RNA-sequence models
Sword Health built Dawn, a clinical-grade AI wellbeing specialist, on Nebius scaled from a 30B model to 200B+ parameters without sacrificing the response times that real users expect.
Serving 1,000s of organizations
Across 82 counties
Tail latency reduced from
20+ seconds to under 12
10M
AI-guided sessions delivered in 2025
Britain’s only independent mathematics research institute used Nebius compute to study how large language models abstract rules, advancing the foundational understanding of AI capabilities and limitations.
Identifying
Core Weaknesses
in modern LLM reasoning
1038
possible rules testing base pre-training
93%+
validation accuracy achieved
