GPU Cloud Provider · Unknown
CUDO Compute
CUDO Compute specializes in providing dedicated bare metal machine clusters for high performance computing with a focus on GPU-intensive tasks like AI training and data analysis. It offers customizable clusters with up to 8 GPUs per machine, scalable configurations, and features such as Infiniband networking and high-speed storage solutions.
Founded
Unknown
Company Profile
Provider TypeProduction-grade GPU clusters engineered for sustained AI workloads
Legal EntityCUDO Compute
Infrastructure
GPU FleetNVIDIA Blackwell family (B200, B300) in HGX nodes (8 GPUs) and NVL72 racks (72 GPUs), also lists NVIDIA H100 (PCIe, SXM) and NVIDIA H200 as available options.
Network FabricInfiniBand
StorageHigh-speed storage, NFS volumes, Local NVMe SSDs, Parallel filesystems such as Lustre and GPFS
Bare MetalDedicated bare-metal clusters. Every GPU is physically yours.
organizations running distributed training, large model execution and global inference systems
Compute & Deployment
Spot / InterruptibleNot a spot allocation
Reserved Instancesreserved cloud
Bare MetalDedicated bare-metal clusters. Every GPU is physically yours.
VM-BasedNot a virtual partition
Container-Based‘docker compose up’
GPU Hardware
Latest GenNVIDIA Blackwell
Legacy SupportH100 and H200
Multi-GPU Nodes8-GPU HGX nodes and 72-GPU NVL72 racks
NVLinkFifth-generation NVLink, 1.8 TB/s bidirectional bandwidth per GPU
InfiniBandNVIDIA Quantum-X800 InfiniBand (scale-out networking) / ConnectX-7 VPI up to 400 Gb/s (InfiniBand/Ethernet)
PCIe vs SXMNVIDIA H100 PCIe and NVIDIA H100 SXM (available as alternative GPU solutions)
HGX PlatformHGX (NVIDIA HGX B200 and HGX B300) — HGX nodes available with 8 GPUs
Liquid CoolingBoth Blackwell form factors are liquid-cooled
Pricing Model
Performance & Scaling
Multi-Node TrainingClusters engineered, integrated and operated for organizations running distributed training, large model execution and global inference systems, with predictable deployment timelines and production ready performance.
Max Cluster SizeDeployments begin at 128 GPUs and extend to environments of up to 40,000 GPUs.
InfiniBandScale-out networking uses NVIDIA Quantum-X800 InfiniBand or Spectrum-X Ethernet.
NVSwitchNVIDIA NVSwitch 2x
Perf IsolationDedicated bare-metal clusters. Every GPU is physically yours. Not a shared instance, not a spot allocation, not a virtual partition. No contention, no throttling, no noisy neighbours.
Noisy NeighborDedicated bare-metal clusters. Every GPU is physically yours. Not a shared instance, not a spot allocation, not a virtual partition. No contention, no throttling, no noisy neighbours.
Developer Experience
OnboardingSales-led onboarding: 'Speak to our expert team' and a contact form; lead times: 'Average time from contract to live cluster. Ask sales for current lead times.'
FrameworksPyTorch, TensorFlow
SDK LanguagesCUDA (same CUDA toolchain)
DocumentationProduct pages with specifications; blog posts with technical and opinion pieces.
API FeaturesUnknown
Security & Compliance
ISO 27001ISO 14001GDPR-aligned operationsNVIDIA Preferred Partner
Data Center Locations
Coverage
North AmericaEurope, the UK and MENA
Compliance Regions
EU Data ResidencyGDPR-aligned operations; ISO-certified data centres in Europe
Datacenter Locations
Key Strengths
Production-grade, high-density bare-metal GPU clusters for sustained AI workloads
NVIDIA Preferred Partner with direct access to Blackwell hardware
ISO-certified data centres across multiple regions
24/7 SRE/monitoring and production architectures aligned to NVIDIA reference designs.
Known Limitations
No public pricing (contact sales)
some systems reservation-only
onboarding is sales-led (contact form)
not offering spot instances.
Additional Information
Support Options
["Unknown"]
Community
Company blog with multiple posts
Green Energy
ISO 14001 Environmental Management
Core Proposition
Dedicated bare-metal clusters. Every GPU is physically yours. Not a shared instance, not a spot allocation, not a virtual partition. No contention, no throttling, no noisy neighbours.
Last updated March 2026. Information subject to change.