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Compare GPU and LLM inference API pricing between Cudo Compute and Hyperbolic. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $0.29/hour between comparable GPUs
| GPU Model ↑ | Cudo Compute Price | Hyperbolic Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • Cudo Compute | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
B200 192GB VRAM • Hyperbolic | Not Available | — | ||
B200 192GB VRAM • | ||||
H100 SXM 80GB VRAM • Cudo ComputeHyperbolic | ↑+$0.29(+19.3%) | |||
H100 SXM 80GB VRAM • $1.79/hour Updated: 7/16/2026 $1.50/hour Updated: 7/16/2026 ★Best Price Price Difference:↑+$0.29(+19.3%) | ||||
H200 141GB VRAM • Hyperbolic | Not Available | — | ||
H200 141GB VRAM • | ||||
L40S 48GB VRAM • Cudo Compute | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX 3070 8GB VRAM • Hyperbolic | Not Available | — | ||
RTX 3070 8GB VRAM • | ||||
RTX 4090 24GB VRAM • Hyperbolic | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
A100 PCIE 40GB VRAM • Cudo Compute | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
B200 192GB VRAM • Hyperbolic | Not Available | — | ||
B200 192GB VRAM • | ||||
H100 SXM 80GB VRAM • Cudo ComputeHyperbolic | ↑+$0.29(+19.3%) | |||
H100 SXM 80GB VRAM • $1.79/hour Updated: 7/16/2026 $1.50/hour Updated: 7/16/2026 ★Best Price Price Difference:↑+$0.29(+19.3%) | ||||
H200 141GB VRAM • Hyperbolic | Not Available | — | ||
H200 141GB VRAM • | ||||
L40S 48GB VRAM • Cudo Compute | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX 3070 8GB VRAM • Hyperbolic | Not Available | — | ||
RTX 3070 8GB VRAM • | ||||
RTX 4090 24GB VRAM • Hyperbolic | Not Available | — | ||
RTX 4090 24GB 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
Scale up or down capacity as needed with multi-tenant GPU clusters that deploy in under a minute
Access latest state-of-the-art AI models in one click with OpenAI-compatible API
Secure guaranteed capacity for long-term workloads at discounted prices
Host high-throughput inference with unlimited requests and hourly pricing
Skip setup and launch GPU workloads instantly with ready-to-use images for PyTorch, TensorFlow, and CUDA
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
Multi-tenant GPU clusters with instant deployment and pay-as-you-go pricing
Guaranteed capacity for long-term workloads with discounted prepaid pricing
Pay-per-use inference API with no infrastructure management required
Single-tenant GPUs with private endpoints and hourly pricing
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.
Sign up at app.hyperbolic.ai with no forms or sales calls required
Pay with credit card, wire/ACH upfront, or cryptocurrency
Choose GPU type and count, deploy in under 60 seconds with SSH access
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.
Documentation available, self-service console, and AI consulting services for scaling teams