CoreWeave vs Cudo Compute
Compare GPU pricing, features, and specifications between CoreWeave and Cudo Compute cloud providers. Find the best deals for AI training, inference, and ML workloads.
CoreWeave
Provider 1
Cudo Compute
Provider 2
Comparison Overview
GPU Pricing Comparison
| GPU Model ↑ | CoreWeave Price | Cudo Compute Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • Cudo Compute | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • CoreWeave | 8x GPU | Not Available | — | |
A100 SXM 80GB VRAM • | ||||
A40 48GB VRAM • Cudo Compute | Not Available | — | ||
A40 48GB VRAM • | ||||
B200 192GB VRAM • CoreWeave | 8x GPU | Not Available | — | |
B200 192GB VRAM • | ||||
GH200 96GB VRAM • CoreWeave | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 80GB VRAM • CoreWeave | 8x GPU | Not Available | — | |
H100 80GB VRAM • | ||||
H200 141GB VRAM • CoreWeave | 8x GPU | Not Available | — | |
H200 141GB VRAM • | ||||
L40 40GB VRAM • CoreWeave | 8x GPU | Not Available | — | |
L40 40GB VRAM • | ||||
L40S 48GB VRAM • CoreWeave | 8x GPU | Not Available | — | |
L40S 48GB VRAM • | ||||
RTX A5000 24GB VRAM • Cudo Compute | Not Available | — | ||
RTX A5000 24GB VRAM • | ||||
RTX A6000 48GB VRAM • Cudo Compute | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
Tesla V100 32GB VRAM • Cudo Compute | Not Available | — | ||
Tesla V100 32GB VRAM • | ||||
A100 PCIE 40GB VRAM • Cudo Compute | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • CoreWeave | 8x GPU | Not Available | — | |
A100 SXM 80GB VRAM • | ||||
A40 48GB VRAM • Cudo Compute | Not Available | — | ||
A40 48GB VRAM • | ||||
B200 192GB VRAM • CoreWeave | 8x GPU | Not Available | — | |
B200 192GB VRAM • | ||||
GH200 96GB VRAM • CoreWeave | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 80GB VRAM • CoreWeave | 8x GPU | Not Available | — | |
H100 80GB VRAM • | ||||
H200 141GB VRAM • CoreWeave | 8x GPU | Not Available | — | |
H200 141GB VRAM • | ||||
L40 40GB VRAM • CoreWeave | 8x GPU | Not Available | — | |
L40 40GB VRAM • | ||||
L40S 48GB VRAM • CoreWeave | 8x GPU | Not Available | — | |
L40S 48GB VRAM • | ||||
RTX A5000 24GB VRAM • Cudo Compute | Not Available | — | ||
RTX A5000 24GB VRAM • | ||||
RTX A6000 48GB VRAM • Cudo Compute | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
Tesla V100 32GB VRAM • Cudo Compute | Not Available | — | ||
Tesla V100 32GB VRAM • | ||||
Features Comparison
CoreWeave
Cudo Compute
- GPU-first cloud
On-demand and reserved GPU capacity with models ranging from V100 and A40 to L40S, A800, A100 80 GB, and H100 SXM
- Cluster and bare metal options
Deploy VMs, dedicated bare metal, or multi-node GPU clusters for training and inference
- Global data center catalog
Marketplace view with locations in the UK, US, Nordics, and Africa plus renewable energy indicators
- API and automation
REST API and documented workflows for provisioning, scaling, and lifecycle automation
- Enterprise focus
Supports sovereignty requirements with regional choice, private networking, and support for reserved capacity
Pros & Cons
CoreWeave
Advantages
- Extensive selection of NVIDIA GPUs, including latest models
- Up to 35x faster and 80% less expensive than legacy cloud providers
- Kubernetes-native infrastructure for easy scaling and deployment
- Rapid deployment with ability to access thousands of GPUs in seconds
Considerations
- Primary focus on North American data centers
- Specialized nature may not suit all general computing needs
- Newer player compared to established cloud giants
Cudo Compute
Advantages
- Wide GPU lineup including flagship H100 and A100 alongside cost-effective V100/A40/L40S options
- Data center coverage across UK, US, Nordics, and Africa for latency and sovereignty needs
- Transparent per-GPU pricing with visible commit-term discounts in the catalog
- Choice of VMs, bare metal, and clusters for different performance and tenancy needs
Considerations
- Smaller managed service ecosystem than hyperscalers
- GPU availability varies by data center and model
- Account approval may be required for larger reservations
Compute Services
CoreWeave
GPU Instances
NVIDIA HGX H100/H200 nodes and other SKUs at supercomputer scale.
Cudo Compute
GPU Cloud
On-demand and reserved GPU VMs with configurable vCPU, memory, and storage.
- Supports NVIDIA GPUs from V100 through H100 with per-GPU pricing
- Elastic storage and IPv4 reservation per instance
Virtual Machines
CPU and GPU-backed VMs for general workloads and AI inference.
- Multiple CPU families and memory/vCPU ratios
- Attach GPUs as needed for acceleration
Bare Metal and Clusters
Dedicated servers and multi-node GPU clusters for high-performance training and rendering.
- Supports H100, A100 80 GB, L40S, and A800 cluster builds
- Commitment options for capacity guarantees and better rates
Pricing Options
CoreWeave
Cudo Compute
On-demand GPU VMs
Hourly per-GPU pricing with published rates by data center and GPU model
Reserved Capacity
Commitment-based discounts across multiple term lengths for predictable spend and guaranteed supply
Bare Metal and Cluster Quotes
Dedicated hardware and multi-node clusters priced per reservation with private networking options
Getting Started
CoreWeave
Cudo Compute
- 1
Create an account
Sign up and log into the Cudo Compute console.
- 2
Choose a data center
Pick a location such as Manchester, Stockholm, Kristiansand, Lagos, or US regions to meet latency and sovereignty needs.
- 3
Select hardware
Pick your GPU model (e.g., H100, A100 80 GB, L40S, A800, V100) and configure vCPUs, RAM, and storage.
- 4
Launch a VM or cluster
Deploy a single VM, bare-metal server, or scale out with clusters from the console or API.
- 5
Secure and monitor
Attach networking, reserve IPv4, and monitor usage through the dashboard or API endpoints.
Support & Global Availability
CoreWeave
Cudo Compute
Global Regions
Data centers listed across Manchester (UK), Stockholm and Kristiansand (Nordics), Lagos (Nigeria), and US sites including Carlsbad, Dallas, and New York, with additional locations in the catalog.
Support
Documentation, tutorials, and API reference; sales and support contacts with phone booking plus community channels like Discord.
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