Cudo Ventures
Cudo Ventures designs, builds and operates production AI infrastructure and AI factories for enterprise, regulated and sovereign workloads. Through its CUDO Compute subsidiary, it delivers NVIDIA-backed GPU clusters, managed operations and infrastructure services intended to accelerate enterprise AI adoption.
At a Glance
- Enterprises moving AI workloads from pilot to production
- Frontier-model builders and AI-native companies
- Hyperscalers and GPU-as-a-Service providers
- Government and national AI programs
- +6 more
AI Tools by Cudo Ventures
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CUDO Compute
Enterprise NVIDIA GPU Cluster Provider
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Latest News
CUDO Compute completes SOC 2 Type II audit for the 2025/26 period, covering Security, Availability and Confidentiality.
Cudo Ventures reportedly secures a $35 million Series A investment to scale AI-factory capacity and global infrastructure operations.
CUDO Compute and Conapto announce a multi-year deal to deploy NVIDIA H200 and L40S GPUs at renewable-powered Stockholm data centres.
CUDO announces ISO 9001:2015 and ISO 14001:2015 certifications.
Products & Services
The group's GPU cloud and enterprise AI infrastructure platform, providing dedicated and managed NVIDIA GPU clusters, bare-metal environments, colocation and full-stack cluster operations.
Design, procurement, deployment, commissioning and 24/7 operation of production AI environments, including networking, storage, power, cooling, security, monitoring and engineering support.
Purpose-built H100 PCIe and SXM clusters, available from 8 to 1,000+ GPUs per deployment, with InfiniBand or Spectrum-X networking, benchmarking, 24/7 support and Slurm, Kubernetes and NVIDIA Base Command compatibility.
Purpose-built H200 clusters with up to 1,000+ GPUs, enterprise networking, bare-metal or managed commercial models, and support for AI inference, deep learning, HPC and sovereign workloads.
Market Position
CUDO positions itself between generic hyperscaler GPU rental and customers' fully self-built infrastructure: it supplies scarce NVIDIA systems and power-backed sites, then designs, commissions and operates production-grade clusters with enterprise support, regional sovereignty and compliance controls. Relevant competitors include hyperscalers such as AWS, Microsoft Azure and Google Cloud, specialist GPU clouds such as CoreWeave, Lambda and Crusoe, and decentralized/distributed compute platforms such as Vast.ai and Akash.
Leadership
Founders
Matt Hawkins
Founder and CEO of CUDO Ventures/CUDO; founder of C4L. He has more than 20 years of experience across data centres, connectivity, hosting and enterprise infrastructure.
Executive Team
Matt Hawkins
CEO and Founder
Founder of CUDO and C4L; 20+ years across data centres, connectivity, hosting and enterprise infrastructure. Leads vision, strategic partnerships, capital strategy and major customer relationships.
Mark Denney
Chief Strategy Officer
Former CIO across major enterprise and government organizations, including HMRC and Barclays; leads corporate strategy, board planning and execution alignment.
Board of Directors
Founding Story
Cudo Ventures was founded by Matt Hawkins to apply deep cloud, data-centre and enterprise-infrastructure experience to scalable compute. CUDO Compute launched in 2018, initially pursuing a more flexible and distributed alternative to centralized cloud computing and subsequently focusing on production-grade AI infrastructure and AI factories.
Business Model
Revenue Model
Enterprise infrastructure revenue from quote-based dedicated and managed GPU clusters, bare-metal capacity, colocation, AI-factory design/deployment, ongoing operations, engineering support and related infrastructure services. CUDO also promotes consumption/OPEX models for predictable enterprise spend.
Pricing Tiers
Dedicated physical machines/clusters with no noisy neighbors, NVMe storage, high-speed networking and optional renewable-energy-powered deployment.
Custom GPU clusters, data-centre colocation, large hardware quantities, expert installation and scalable managed infrastructure.
Target Markets
- Enterprises moving AI workloads from pilot to production
- Frontier-model builders and AI-native companies
- Hyperscalers and GPU-as-a-Service providers
- Government and national AI programs
- Financial services
- Telecommunications
- Large-scale AI model training
- AI inference and model serving
- Deep learning and machine learning development
- High-performance computing and scientific simulation
- Rendering and content creation
- Enterprise and regulated production workloads
- A leading AI-sector service provider operating a 4,000+ NVIDIA GPU managed deployment across multiple data-centre locations
- SingularityNET/ASI ecosystem, supported through the Conapto Stockholm GPU deployment context