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Compare GPU pricing between Gcore and Koyeb. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $0.49/hour between comparable GPUs
| GPU Model ↑ | Gcore Price | Koyeb Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • Koyeb | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • GcoreKoyeb | ↓$0.70(32.4%) | |||
H100 SXM 80GB VRAM • GcoreKoyeb | ↓$0.73(29.4%) | |||
H200 141GB VRAM • Gcore | 8x GPU | Not Available | — | |
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • Gcore | 8x GPU | Not Available | — | |
HGX B300 288GB VRAM • | ||||
L40S 48GB VRAM • GcoreKoyeb | ↑+$0.05(+3.8%) | |||
RTX A6000 48GB VRAM • Koyeb | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
A100 PCIE 40GB VRAM • Koyeb | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • GcoreKoyeb | ↓$0.70(32.4%) | |||
H100 SXM 80GB VRAM • GcoreKoyeb | ↓$0.73(29.4%) | |||
H200 141GB VRAM • Gcore | 8x GPU | Not Available | — | |
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • Gcore | 8x GPU | Not Available | — | |
HGX B300 288GB VRAM • | ||||
L40S 48GB VRAM • GcoreKoyeb | ↑+$0.05(+3.8%) | |||
RTX A6000 48GB VRAM • Koyeb | Not Available | — | ||
RTX A6000 48GB 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
Per-second billing with scale-to-zero across the GPU catalog
From RTX-4000-SFF-ADA and L4 through L40S, A100, H100, H200 and B200
Deploy applications close to users across multiple regions from a single push
Bare-metal GPU clusters and virtual GPU machines provisioned through the console or API
Managed endpoints for running models across Gcore's global footprint
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
Charged per second of GPU runtime, with scale-to-zero when idle
Pre-configured 2x, 4x and 8x GPU instances for larger workloads
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
Sign up via the Koyeb console using email or GitHub
Select an instance type from the GPU catalog and configure your service
Push from a GitHub repo or Docker image and Koyeb handles the rest
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
Global edge presence across North America, Europe and Asia
Documentation, community forum and paid support tiers