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Compare GPU and LLM inference API pricing between Cudo Compute and Modal. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $1.62/hour between comparable GPUs
| GPU Model ↑ | Cudo Compute Price | Modal Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A10 24GB VRAM • Modal | Not Available | — | ||
A10 24GB VRAM • | ||||
A100 PCIE 40GB VRAM • Cudo Compute | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Modal | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • Modal | Not Available | — | ||
B200 192GB VRAM • | ||||
H100 SXM 80GB VRAM • Cudo ComputeModal | ↓$2.16(54.7%) | |||
H100 SXM 80GB VRAM • $1.79/hour Updated: 7/16/2026 ★Best Price $3.95/hour Updated: 7/14/2026 Price Difference:↓$2.16(54.7%) | ||||
H200 141GB VRAM • Modal | Not Available | — | ||
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • Modal | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L4 24GB VRAM • Modal | Not Available | — | ||
L4 24GB VRAM • | ||||
L40S 48GB VRAM • Cudo ComputeModal | ↓$1.08(55.4%) | |||
L40S 48GB VRAM • $0.87/hour Updated: 7/16/2026 ★Best Price $1.95/hour Updated: 7/14/2026 Price Difference:↓$1.08(55.4%) | ||||
RTX PRO 6000 96GB VRAM • Modal | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
Tesla T4 16GB VRAM • Modal | Not Available | — | ||
Tesla T4 16GB VRAM • | ||||
A10 24GB VRAM • Modal | Not Available | — | ||
A10 24GB VRAM • | ||||
A100 PCIE 40GB VRAM • Cudo Compute | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Modal | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • Modal | Not Available | — | ||
B200 192GB VRAM • | ||||
H100 SXM 80GB VRAM • Cudo ComputeModal | ↓$2.16(54.7%) | |||
H100 SXM 80GB VRAM • $1.79/hour Updated: 7/16/2026 ★Best Price $3.95/hour Updated: 7/14/2026 Price Difference:↓$2.16(54.7%) | ||||
H200 141GB VRAM • Modal | Not Available | — | ||
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • Modal | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L4 24GB VRAM • Modal | Not Available | — | ||
L4 24GB VRAM • | ||||
L40S 48GB VRAM • Cudo ComputeModal | ↓$1.08(55.4%) | |||
L40S 48GB VRAM • $0.87/hour Updated: 7/16/2026 ★Best Price $1.95/hour Updated: 7/14/2026 Price Difference:↓$1.08(55.4%) | ||||
RTX PRO 6000 96GB VRAM • Modal | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
Tesla T4 16GB VRAM • Modal | Not Available | — | ||
Tesla T4 16GB 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
Run Python functions on NVIDIA GPUs without provisioning instances; cold starts in seconds
Pay for actual GPU runtime at sub-minute granularity, with scale-to-zero by default
Define environments in code, with automatic image building and caching
From T4 and L4 through A100, L40S, H100, H200 and B200
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.
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
Charged per second of GPU runtime, with scale-to-zero when idle
Monthly free credits for experimentation and personal projects
Volume commitments and enterprise support for production deployments
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.
Run `pip install modal` and authenticate via the CLI
Decorate a Python function with the desired GPU and image specification
Invoke locally or deploy as a long-lived endpoint or scheduled job
Global infrastructure across UK, EU, North America, APAC, and Middle East with ISO 27001-certified facilities and sovereign data residency options
Documentation, tutorials, and API reference; sales and support contacts with phone booking plus community channels like Discord.
Multi-region availability across North America and Europe
Documentation, community forum, and enterprise support for paid plans