Cudo Compute

Access powerful, cost-effective cloud GPUs on demand or reserved, built specifically for demanding AI, machine learning, rendering, and high-performance computing tasks. CUDO Compute provides the performance, flexibility, and control you need to accelerate your projects and achieve results faster, whether you're a startup or an enterprise.

Key Features

CUDO Compute is designed to give you flexible, high-performance access to the computing power your most challenging workloads require.

• ⚡ Access Leading GPU Hardware: Deploy instances featuring a wide range of the latest NVIDIA and AMD GPUs, including high-performance models like the NVIDIA H100, H200, A100, B200, and AMD MI300 series. This ensures you have the right hardware configuration to match the specific demands of your AI training, inference, rendering, or simulation tasks.

• 🌍 Global Reach with Compliance: Choose from a global network of ISO 27001 certified data centers across North America, Europe, the UK, and MENA. This allows you to keep your data within specific regions to meet compliance requirements (like GDPR, HIPAA, PCI-DSS) and ensure ultra-low latency for real-time applications by keeping compute close to your data or users.

• ⚖️ Flexible Deployment Options: Select the infrastructure model that best suits your needs. Launch Virtual Machines for agile development, testing, or flexible production workloads with minute-based billing and high-speed NVMe storage. Opt for Bare Metal servers when you require dedicated hardware, maximum performance without virtualization overhead, and complete control over your environment for critical, performance-sensitive tasks.

• 📈 Scalable On-Demand & Reserved Capacity: Get instant access to GPU instances on demand for fluctuating or immediate needs. For predictable workloads and cost optimization, utilize reserved instances or dedicated clusters that offer significant savings and guaranteed capacity over longer terms. Scale up or down as your project evolves.

• 📊 Robust Management Tools: Gain full control over your infrastructure deployment and management through a user-friendly web dashboard, command-line interface (CLI) for programmatic control, or a powerful API for integration into your workflows. Effortlessly provision resources, monitor performance, and manage costs.

How CUDO Compute Solves Your Problems

CUDO Compute provides a tailored environment for compute-intensive tasks, directly addressing common pain points in AI, ML, and rendering workflows:

• Accelerate Model Training: Instead of waiting days or weeks on limited hardware, you can spin up powerful clusters of H100, A100, or B200 GPUs to significantly reduce training times for large language models or complex neural networks.

• Streamline Rendering Pipelines: Access dedicated bare metal servers with high-end GPUs like the RTX A6000 or L40S to render high-resolution graphics, animations, or visual effects faster and more efficiently, freeing up local workstations.

• Deploy Real-Time AI Inference: Leverage the global data center network and low-latency infrastructure to deploy AI models closer to end-users, ensuring rapid response times for applications like real-time image analysis or natural language processing.

• Manage Costs Predictably: Utilize per-second billing on virtual machines for cost-effective testing or fluctuating workloads, and secure commitment pricing or reserved clusters for significant savings on consistent, long-running projects, ensuring you manage budget effectively.

Why Choose CUDO Compute?

CUDO Compute offers distinct advantages for teams focused on performance and efficiency:

• Early Access to Cutting-Edge Hardware: As a Preferred Partner for Compute with NVIDIA, CUDO Compute provides early access to the latest GPU technologies, including B200, GB200, and upcoming B300/GB300, ensuring you stay ahead with the most advanced hardware available.

• Purpose-Built for AI Performance: The infrastructure, including high-bandwidth networking (InfiniBand, high-bandwidth Ethernet) and performance-optimized storage solutions (VAST Data, WekaIO), is specifically designed to maximize GPU performance for AI/ML workloads, avoiding bottlenecks common in general-purpose clouds.

Conclusion

CUDO Compute delivers the high-performance GPU cloud infrastructure you need to accelerate your AI, machine learning, rendering, and HPC projects. With a wide selection of leading GPUs, flexible deployment options, global reach, and robust management tools, you gain the power and control required to achieve your goals efficiently and cost-effectively.

Learn more about CUDO Compute and explore how its high-performance GPU options can help you power your demanding workloads.

FAQ

Q: What types of GPUs can I access on CUDO Compute? A: CUDO Compute offers a broad selection of high-performance NVIDIA and AMD GPUs, including popular models like NVIDIA H100 (SXM and PCIe), H200, B200, GB200, A100, A800, V100, L40S, A40, RTX A6000, RTX A5000, and AMD MI250/300 series. The available models cover a range of performance tiers suitable for diverse workloads.

Q: What is the difference between Virtual Machines and Bare Metal instances? A: Virtual Machines provide a flexible, virtualized environment ideal for agile development, testing, and light to moderate production. You share underlying physical hardware but gain rapid deployment and granular resource scaling. Bare Metal instances give you dedicated physical servers, offering maximum raw performance without virtualization overhead and full control over the operating system and hardware for critical, performance-sensitive, or compliance-driven workloads.

Q: How does billing work on CUDO Compute? A: CUDO Compute offers transparent, flexible billing. For On-Demand instances, billing is typically per-second or per-minute, depending on the resource, allowing cost-effective use for short-term or variable workloads. For predictable, long-running workloads, you can opt for commitment pricing or reserved instances, which offer significant cost savings compared to on-demand rates. You also have access to detailed cost management tools and reports.