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Compare GPU pricing between Gcore and Omega Gradient. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $0.22/hour between comparable GPUs
| GPU Model ↑ | Gcore 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 • GcoreOmega Gradient | 4x GPU | ↑+$0.05(+3.3%) | ||
A100 SXM 80GB VRAM • $1.46/hour Updated: 9/6/2026 $1.42/hour 4x GPU configuration Updated: 8/22/2026 ★Best Price Price Difference:↑+$0.05(+3.3%) | ||||
A40 48GB VRAM • Omega Gradient | Not Available | — | ||
A40 48GB VRAM • | ||||
GH200 96GB VRAM • Omega Gradient | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 SXM 80GB VRAM • GcoreOmega Gradient | ↓$0.31(14.9%) | |||
H100 SXM 80GB VRAM • $1.78/hour Updated: 9/6/2026 ★Best Price $2.09/hour Updated: 8/26/2026 Price Difference:↓$0.31(14.9%) | ||||
H200 141GB VRAM • GcoreOmega Gradient | 8x GPU | 8x GPU | ↓$0.19(5.6%) | |
H200 141GB VRAM • $3.17/hour 8x GPU configuration Updated: 9/6/2026 ★Best Price $3.36/hour 8x GPU configuration Updated: 8/26/2026 Price Difference:↓$0.19(5.6%) | ||||
HGX B300 288GB VRAM • Gcore | 8x GPU | Not Available | — | |
HGX B300 288GB VRAM • | ||||
L40 40GB VRAM • Omega Gradient | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • GcoreOmega Gradient | 2x GPU | ↑+$0.33(+35.7%) | ||
L40S 48GB VRAM • $1.26/hour Updated: 9/6/2026 $0.93/hour 2x GPU configuration Updated: 8/26/2026 ★Best Price Price Difference:↑+$0.33(+35.7%) | ||||
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 • GcoreOmega Gradient | 4x GPU | ↑+$0.05(+3.3%) | ||
A100 SXM 80GB VRAM • $1.46/hour Updated: 9/6/2026 $1.42/hour 4x GPU configuration Updated: 8/22/2026 ★Best Price Price Difference:↑+$0.05(+3.3%) | ||||
A40 48GB VRAM • Omega Gradient | Not Available | — | ||
A40 48GB VRAM • | ||||
GH200 96GB VRAM • Omega Gradient | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 SXM 80GB VRAM • GcoreOmega Gradient | ↓$0.31(14.9%) | |||
H100 SXM 80GB VRAM • $1.78/hour Updated: 9/6/2026 ★Best Price $2.09/hour Updated: 8/26/2026 Price Difference:↓$0.31(14.9%) | ||||
H200 141GB VRAM • GcoreOmega Gradient | 8x GPU | 8x GPU | ↓$0.19(5.6%) | |
H200 141GB VRAM • $3.17/hour 8x GPU configuration Updated: 9/6/2026 ★Best Price $3.36/hour 8x GPU configuration Updated: 8/26/2026 Price Difference:↓$0.19(5.6%) | ||||
HGX B300 288GB VRAM • Gcore | 8x GPU | Not Available | — | |
HGX B300 288GB VRAM • | ||||
L40 40GB VRAM • Omega Gradient | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • GcoreOmega Gradient | 2x GPU | ↑+$0.33(+35.7%) | ||
L40S 48GB VRAM • $1.26/hour Updated: 9/6/2026 $0.93/hour 2x GPU configuration Updated: 8/26/2026 ★Best Price Price Difference:↑+$0.33(+35.7%) | ||||
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 Gcore with another leading provider
Compare Gcore with another leading provider
Compare Gcore with another leading provider
Compare Gcore with another leading provider
Compare Gcore with another leading provider
Compare Gcore with another leading provider
GPU and inference workloads deployable across 50+ cloud locations and 210+ points of presence worldwide
8-GPU B300 SXM servers and 72-GPU GB300 NVL72 racks offered alongside H200, H100, A100 and L40S
Managed inference platform with autoscaling, fast cold starts and protected endpoints, billed on the compute time actually used
Dedicated 8-GPU bare-metal clusters or single-GPU virtual machines, with multi-node clusters provisioned in a single API call and automatic InfiniBand setup
AI Cloud Stack and Everywhere AI for running models on enterprise, third-party cloud or on-premises infrastructure
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
Bare-metal GPU clusters and virtual GPU machines provisioned through the console or API
Managed endpoints for running models across Gcore's global footprint
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.
Hourly billing for self-serve GPU virtual machines, charged only while the instance is powered on
Dedicated 8-GPU servers and multi-node clusters, priced per configuration with hourly, monthly and yearly estimates in the GPU Cloud calculator
Billing determined by the exact compute time used, measured down to the minute
B300 and GB300 NVL72 systems, plus third-party cloud and on-premises deployments, are quoted by the sales team
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
Sign up at the Gcore customer portal
Choose between cloud GPU instances, bare-metal clusters, or the inference platform
Launch via the portal or API and connect over SSH or supported orchestrators
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.
50+ cloud locations and 210+ points of presence worldwide; bare-metal GPU clusters are offered in a smaller subset of regions such as Luxembourg
Documentation, API reference, help center, status page and technical support plans
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