The ultimate cloud
for AI innovators
TD SYNNEX and Nebius combine purpose-built AI infrastructure, ecosystem technologies and enterprise enablement to help enterprises operationalize AI at scale from day one.
AI infrastructure is built for modern enterprise workloads.
AI workloads require a new approach to infrastructure as a service — purpose-built for high-performance AI.
Guaranteed capacity
Dedicated, reserved clusters are built for enterprise AI workloads.
Production-grade infrastructure
Build enterprise-ready AI solutions on purpose-built infrastructure aligned to NVIDIA reference architecture.
Complete AI solutions
Nebius infrastructure, NVIDIA AI software, ISV platforms and services are combined into a solution that delivers AI solutions faster.
Powered by an enterprise AI ecosystem
Nebius and TD SYNNEX combine AI-native infrastructure, ecosystem technologies and enterprise reach to help organizations operationalize AI faster.
Ecosystem infrastructure
It starts with ecosystem infrastructure that’s built for AI with graphic processing units (GPUs) at the center, as well as AI-scale networking and full-stack architecture that’s aligned to NVIDIA AI Factory. It’s designed for AI workloads, not adapted for them.
Lifecycle orchestration
Add an AI-first stack that supports training, inference and deployment in one integrated environment. Unified architecture across the AI lifecycle.
Partner activation
TD SYNNEX connects the Nebius platform to a global ecosystem of solution providers, ISV platforms and enterprise services.
TD SYNNEX x Nebius AI Cloud combines the strengths of three industry leaders:
This full-stack AI cloud company provides AI-native cloud infrastructure that’s designed for high-performance AI workloads.
We’re a distributor and solutions aggregator that enables our partners to deliver enterprise technology solutions at scale.
Get accelerated computing and AI Factory architecture that powers next-generation AI infrastructure.
Enterprise AI infrastructure, ready for deployment
TD SYNNEX x Nebius AI Cloud provides a dedicated, enterprise-ready environment for building, validating and scaling enterprise AI solutions on guaranteed GPU capacity.
Capabilities: See what’s under the hood.
Dedicated NVIDIA HGX™ B300 GPU cluster
Infrastructure built on NVIDIA AI Factory reference architecture
Segmented enterprise-grade compute environments
Segmented enterprise-grade compute environments
Step 1: Develop
Design enterprise AI applications and models on dedicated GPU architecture built for production-scale workloads.
Step 2: Validate
Test and optimize solutions within the TD SYNNEX x Nebius AI Cloud environment with guidance from Nebius AI infrastructure experts.
Step 3: Scale
Deploy validated solutions to enterprise production environments on guaranteed compute capacity with no infrastructure surprises.
Why enterprises choose Nebius:
Benchmark-grade performance
Non-virtualized NVIDIA GPUs and industry-leading InfiniBand networking with GPUDirect RDMA deliver near-rated bandwidth across multi-node GPU clusters.
Fast
provisioning
Get small clusters in 30 minutes. Provision 1,000+ GPU clusters in as little as 48 hours with a team built for large-scale, fast-turnaround deployments. No quota tickets or waitlists.
Transparent
pricing
Expect usage-based and reserved options, generous egress allowances with no punitive data transfer fees that keep your total cost of ownership predictable and no hidden network charges.
Guaranteed
capacity
Enjoy dedicated, reserved GPU environments with predictable access to compute resources when you need them.
Open or
flexible stack
Get deep integration with open-source and commercial tools. No vendor lock-in at any layer.
Secure
by design
This means tenant isolation, encryption and compliance with key data regulations.
Dedicated
expert support
That includes 24/7 global support and white-glove onboarding for proof-of-concept engagements.
This is AI built for the industries that can’t afford to wait.
Challenge
Use cases
What’s
possible
Life Sciences and Healthcare
Challenge
Compute scarcity, long development cycles and compliance complexity
Use cases
Drug discovery, genomics, medical imaging,
clinical AI
What's possible
Faster paths to discovery
Media and Entertainment
Challenge
Unpredictable costs, punishing egress fees and no tolerance for latency at scale
Use cases
Content generation, real-time video, personalized experiences, creative workflows at scale
What's possible
Creativity at production scale
Physical AI and Robotics
Challenge
Massive data sets, complex simulation pipelines and real-time inference that can’t fail
Use cases
Perception models, digital twin simulation, autonomous systems and AI-powered manufacturing
What's possible
Closing the gap between the lab and the real world
Frequently asked questions:
What is AI infrastructure?
AI infrastructure refers to the cloud-based compute, storage and software solutions that are required to build, train and deploy AI models at scale. This includes GPU-powered computing, data pipelines and orchestration tools.
What’s the difference between AI infrastructure and traditional cloud infrastructure?
Traditional cloud infrastructure is built for general workloads, while AI infrastructure is optimized for high-performance computing, GPU acceleration and the large-scale data processing that’s required by AI models.
What is AI infrastructure as a service?
AI infrastructure as a service (IaaS) delivers GPU-powered compute, storage and networking through the cloud, allowing you to build and run AI workloads without managing physical hardware.
How does AI infrastructure support enterprise AI deployment?
AI infrastructure provides the compute, orchestration and scalability needed to develop, validate and deploy AI models in production environments.
Built with Nebius
This global fintech rebuilt core AI operations on Nebius to scale fraud prevention, customer support and model training across 70 million users.
80%
of chats completed without human intervention
1.2M
chat tickets per month on Token Factory
Millions
of fraudulent transactions prevented
Scientists from Stanford, Princeton and Google DeepMind automated gene-editing experiments on Nebius to put advanced research tools in the hands of any scientist.
288-case
evaluation framework
80-90%
first-attempt efficiency for novice researchers
11 years
of gene-editing expert knowledge training into the system
Helical built and trained a 500M-parameter drug discovery foundation model on Nebius, compressing months of development into days.
+146%
improvement in prediction accuracy
10-day
base pre-training
36-hour
specialization runs
Learn more about Nebius.
Nebius helps TD SYNNEX expand infrastructure-as-a-service portfolio
TD SYNNEX is expanding its AI infrastructure-as-a-service portfolio in North America by reserving more than 1,000 high-end NVIDIA GPUs through a new deal with Nebius.
TD SYNNEX adds NVIDIA HGX B300 clusters on Nebius AI Cloud
This marks the first time a global IT distributor has reserved a dedicated NVIDIA AI factory-grade cluster from an AI-native cloud provider.
