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Compare GPU and LLM inference API pricing between Cudo Compute and Vast.ai. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $0.11/hour between comparable GPUs
| GPU Model ↑ | Cudo Compute Price | Vast.ai Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A10 24GB VRAM • Vast.ai | Not Available | — | ||
A10 24GB VRAM • | ||||
A100 PCIE 40GB VRAM • Cudo Compute | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A40 48GB VRAM • Cudo ComputeVast.ai | ↑+$0.07(+21.0%) | |||
A40 48GB VRAM • $0.39/hour Updated: 4/18/2026 $0.32/hour Updated: 4/15/2026 ★Best Price Price Difference:↑+$0.07(+21.0%) | ||||
H100 PCIe 80GB VRAM • Cudo Compute | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
H100 SXM 80GB VRAM • Cudo Compute | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
L4 24GB VRAM • Vast.ai | Not Available | — | ||
L4 24GB VRAM • | ||||
L40S 48GB VRAM • Cudo Compute | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX 3070 8GB VRAM • Vast.ai | Not Available | — | ||
RTX 3070 8GB VRAM • | ||||
RTX 3070 Ti 8GB VRAM • Vast.ai | Not Available | — | ||
RTX 3070 Ti 8GB VRAM • | ||||
RTX 3080 10GB VRAM • Vast.ai | Not Available | — | ||
RTX 3080 10GB VRAM • | ||||
RTX 3080 Ti 12GB VRAM • Vast.ai | Not Available | — | ||
RTX 3080 Ti 12GB VRAM • | ||||
RTX 3090 24GB VRAM • Vast.ai | Not Available | 2x GPU | — | |
RTX 3090 24GB VRAM • | ||||
RTX 3090 Ti 24GB VRAM • Vast.ai | Not Available | — | ||
RTX 3090 Ti 24GB VRAM • | ||||
RTX 4000 Ada 20GB VRAM • Vast.ai | Not Available | — | ||
RTX 4000 Ada 20GB VRAM • | ||||
RTX 4060 8GB VRAM • Vast.ai | Not Available | 2x GPU | — | |
RTX 4060 8GB VRAM • | ||||
A10 24GB VRAM • Vast.ai | Not Available | — | ||
A10 24GB VRAM • | ||||
A100 PCIE 40GB VRAM • Cudo Compute | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A40 48GB VRAM • Cudo ComputeVast.ai | ↑+$0.07(+21.0%) | |||
A40 48GB VRAM • $0.39/hour Updated: 4/18/2026 $0.32/hour Updated: 4/15/2026 ★Best Price Price Difference:↑+$0.07(+21.0%) | ||||
H100 PCIe 80GB VRAM • Cudo Compute | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
H100 SXM 80GB VRAM • Cudo Compute | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
L4 24GB VRAM • Vast.ai | Not Available | — | ||
L4 24GB VRAM • | ||||
L40S 48GB VRAM • Cudo Compute | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX 3070 8GB VRAM • Vast.ai | Not Available | — | ||
RTX 3070 8GB VRAM • | ||||
RTX 3070 Ti 8GB VRAM • Vast.ai | Not Available | — | ||
RTX 3070 Ti 8GB VRAM • | ||||
RTX 3080 10GB VRAM • Vast.ai | Not Available | — | ||
RTX 3080 10GB VRAM • | ||||
RTX 3080 Ti 12GB VRAM • Vast.ai | Not Available | — | ||
RTX 3080 Ti 12GB VRAM • | ||||
RTX 3090 24GB VRAM • Vast.ai | Not Available | 2x GPU | — | |
RTX 3090 24GB VRAM • | ||||
RTX 3090 Ti 24GB VRAM • Vast.ai | Not Available | — | ||
RTX 3090 Ti 24GB VRAM • | ||||
RTX 4000 Ada 20GB VRAM • Vast.ai | Not Available | — | ||
RTX 4000 Ada 20GB VRAM • | ||||
RTX 4060 8GB VRAM • Vast.ai | Not Available | 2x GPU | — | |
RTX 4060 8GB VRAM • | ||||
Explore how these providers compare to other popular GPU cloud services
Compare Cudo Compute with another leading provider
Compare Cudo Compute with another leading provider
Compare Cudo Compute with another leading provider
Compare Cudo Compute with another leading provider
Compare Cudo Compute with another leading provider
Compare Cudo Compute with another leading provider
On-demand and reserved GPU capacity with latest NVIDIA models including H200, H100, A100 80 GB, L40S, and legacy options like V100 and A40
Deploy VMs, dedicated bare metal, or multi-node GPU clusters for training and inference
Marketplace view with locations in the UK, US, Nordics, and Africa plus renewable energy indicators
REST API and documented workflows for provisioning, scaling, and lifecycle automation
Supports sovereignty requirements with regional choice, private networking, and support for reserved capacity
Design and manage GPU facilities powered by NVIDIA GB300 NVL72, B300 and GB200 systems for production-ready AI infrastructure
Prices set by supply and demand across the platform with no list prices or hidden fees
GPU Cloud for full control, Serverless for zero-ops inference, Clusters for large-scale training
CLI, Python SDK, and REST API for programmatic GPU provisioning
Scale from $5 to 20,000 GPUs across 40+ data centers without contracts or minimums
On-demand and reserved GPU VMs with configurable vCPU, memory, and storage.
CPU and GPU-backed VMs for general workloads and AI inference.
Dedicated servers and multi-node GPU clusters for high-performance training and rendering.
On-demand instances across 40+ data centers and 20,000+ GPUs
Deploy models as endpoints with autoscaling to zero
Dedicated multi-node GPU clusters with InfiniBand networking
Hourly per-GPU pricing with published rates by data center and GPU model
Commitment-based discounts across multiple term lengths for predictable spend and guaranteed supply
Dedicated hardware and multi-node clusters priced per reservation with private networking options
Guaranteed uptime with per-second billing. Best for production workloads.
50%+ cheaper preemptible instances. Best for fault-tolerant batch training.
Up to 50% off with 1, 3, or 6 month commitments. Guaranteed capacity with volume discounts.
Sign up and log into the Cudo Compute console.
Pick a location such as Manchester, Stockholm, Kristiansand, Lagos, or US regions to meet latency and sovereignty needs.
Pick your GPU model (e.g., H100, A100 80 GB, L40S, A800, V100) and configure vCPUs, RAM, and storage.
Deploy a single VM, bare-metal server, or scale out with clusters from the console or API.
Attach networking, reserve IPv4, and monitor usage through the dashboard or API endpoints.
Start with as little as $5. No contracts, no minimums.
Filter by model, VRAM, price, and availability across the platform
Launch instances in seconds. Scale up or down anytime.
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.
Documentation, tutorials, and API reference; sales and support contacts with phone booking plus community channels like Discord.
40+ data centers with global coverage including community and enterprise providers
24/7 expert support, comprehensive documentation, Discord community, CLI and SDK tools