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Compare GPU pricing between Compute Cheap and Omega Gradient. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $1.46/hour between comparable GPUs
| GPU Model ↑ | Compute Cheap Price | Omega Gradient Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • Omega Gradient | Not Available | 8x GPU | — | |
A100 PCIE 40GB VRAM • Not Available $1.47/hour 8x GPU configuration Updated: 8/26/2026 ★Best Price | ||||
A100 SXM 80GB VRAM • Omega Gradient | Not Available | 4x GPU | — | |
A100 SXM 80GB VRAM • Not Available $1.42/hour 4x GPU configuration Updated: 8/22/2026 ★Best Price | ||||
A40 48GB VRAM • Omega Gradient | Not Available | — | ||
A40 48GB VRAM • | ||||
GH200 96GB VRAM • Omega Gradient | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 SXM 80GB VRAM • Compute CheapOmega Gradient | ↓$0.94(45.0%) | |||
H100 SXM 80GB VRAM • $1.15/hour Updated: 9/5/2026 ★Best Price $2.09/hour Updated: 8/26/2026 Price Difference:↓$0.94(45.0%) | ||||
H200 141GB VRAM • Compute CheapOmega Gradient | 8x GPU | ↓$1.97(58.6%) | ||
H200 141GB VRAM • $1.39/hour Updated: 9/5/2026 ★Best Price $3.36/hour 8x GPU configuration Updated: 8/26/2026 Price Difference:↓$1.97(58.6%) | ||||
L40 40GB VRAM • Omega Gradient | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • Omega Gradient | Not Available | 2x GPU | — | |
L40S 48GB VRAM • Not Available $0.93/hour 2x GPU configuration Updated: 8/26/2026 ★Best Price | ||||
RTX 4090 24GB VRAM • Omega Gradient | Not Available | 8x GPU | — | |
RTX 4090 24GB VRAM • Not Available $0.42/hour 8x GPU configuration Updated: 8/26/2026 ★Best Price | ||||
RTX 5090 32GB VRAM • Omega Gradient | Not Available | — | ||
RTX 5090 32GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • Omega Gradient | Not Available | — | ||
RTX 6000 Ada 48GB VRAM • | ||||
RTX A6000 48GB VRAM • Omega Gradient | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Omega Gradient | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
Tesla V100 32GB VRAM • Omega Gradient | Not Available | — | ||
Tesla V100 32GB VRAM • | ||||
A100 PCIE 40GB VRAM • Omega Gradient | Not Available | 8x GPU | — | |
A100 PCIE 40GB VRAM • Not Available $1.47/hour 8x GPU configuration Updated: 8/26/2026 ★Best Price | ||||
A100 SXM 80GB VRAM • Omega Gradient | Not Available | 4x GPU | — | |
A100 SXM 80GB VRAM • Not Available $1.42/hour 4x GPU configuration Updated: 8/22/2026 ★Best Price | ||||
A40 48GB VRAM • Omega Gradient | Not Available | — | ||
A40 48GB VRAM • | ||||
GH200 96GB VRAM • Omega Gradient | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 SXM 80GB VRAM • Compute CheapOmega Gradient | ↓$0.94(45.0%) | |||
H100 SXM 80GB VRAM • $1.15/hour Updated: 9/5/2026 ★Best Price $2.09/hour Updated: 8/26/2026 Price Difference:↓$0.94(45.0%) | ||||
H200 141GB VRAM • Compute CheapOmega Gradient | 8x GPU | ↓$1.97(58.6%) | ||
H200 141GB VRAM • $1.39/hour Updated: 9/5/2026 ★Best Price $3.36/hour 8x GPU configuration Updated: 8/26/2026 Price Difference:↓$1.97(58.6%) | ||||
L40 40GB VRAM • Omega Gradient | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • Omega Gradient | Not Available | 2x GPU | — | |
L40S 48GB VRAM • Not Available $0.93/hour 2x GPU configuration Updated: 8/26/2026 ★Best Price | ||||
RTX 4090 24GB VRAM • Omega Gradient | Not Available | 8x GPU | — | |
RTX 4090 24GB VRAM • Not Available $0.42/hour 8x GPU configuration Updated: 8/26/2026 ★Best Price | ||||
RTX 5090 32GB VRAM • Omega Gradient | Not Available | — | ||
RTX 5090 32GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • Omega Gradient | Not Available | — | ||
RTX 6000 Ada 48GB VRAM • | ||||
RTX A6000 48GB VRAM • Omega Gradient | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Omega Gradient | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
Tesla V100 32GB VRAM • Omega Gradient | Not Available | — | ||
Tesla V100 32GB VRAM • | ||||
Explore how these providers compare to other popular GPU cloud services
Compare Compute Cheap with another leading provider
Compare Compute Cheap with another leading provider
Compare Compute Cheap with another leading provider
Compare Compute Cheap with another leading provider
Compare Compute Cheap with another leading provider
Compare Compute Cheap with another leading provider
Offers both spot and on-demand pricing for GPU compute.
Enables capacity owners to compete for workloads, ensuring transparent pricing.
Utilizes underused infrastructure for cost-effective compute.
Charges are based on usage, with no long-term commitments.
Designed primarily around GPU resources without added complexities.
Catalog of GPU listings from multiple suppliers, deployable as containers, VMs, or bare metal, with per-listing region, fabric (PCIe, SXM, NVLink), and boot-time details
Request-based sourcing for reserved capacity, matching workload requirements against a tracked supplier network with responses targeted within 24 hours
Monitors suppliers and public price sources across regions, publishing a cloud GPU price index and supplier pricing reports for benchmarking before commitment
Listings show a single all-in hourly price with per-GPU breakdowns; billing is prepaid from credits and accrues per hour only while an instance exists
Sources capacity from many independent suppliers rather than operating its own data centers, comparing options across price, region, and hardware configuration
Marketplace listings deployable as containers, VMs, or bare metal across supplier regions.
Brokered sourcing of reserved GPU clusters from the tracked supplier network.
Published market data covering supplier pricing and availability.
Single all-in hourly price per listing, prepaid from credits and billed only while the instance exists
Quoted per sourcing request through the desk, with terms set by the matched supplier
Visit the pricing page to review available GPU types and configurations.
Choose between spot or on-demand GPU resources.
Fill out the request form to initiate use of resources.
Integrate your applications with the Compute Cheap platform.
Start your GPU compute tasks based on selected resources.
Open the live compute catalog and filter listings by GPU model, region, and configuration.
Pick a listing, from single GPUs up to multi-GPU clusters, and review its all-in hourly rate.
Select Ubuntu with CUDA, PyTorch, or JupyterLab as the instance image.
Provide an SSH public key or generate one in the browser for instance access.
Launch the instance; billing accrues hourly from prepaid credits while it runs. For reserved clusters, submit a sourcing request instead and await matched options.
Marketplace inventory across US East, Central, and West, Canada, Europe West and East, and Asia Northeast, with availability tracked across nineteen regions
Live marketplace with per-listing details; sourcing desk requests answered within 24 hours