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Compare GPU pricing between Koyeb and Spheron. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $0.57/hour between comparable GPUs
| GPU Model ↑ | Koyeb Price | Spheron Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • Koyeb | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • KoyebSpheron | ↑+$1.00(+87.0%) | |||
B200 180GB VRAM • Spheron | Not Available | — | ||
B200 180GB VRAM • | ||||
GH200 96GB VRAM • Spheron | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 SXM 80GB VRAM • KoyebSpheron | ↑+$0.45(+22.0%) | |||
H200 141GB VRAM • Spheron | Not Available | — | ||
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • Spheron | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L40S 48GB VRAM • KoyebSpheron | ↑+$0.25(+26.3%) | |||
RTX 4090 24GB VRAM • Spheron | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
RTX 5090 32GB VRAM • Spheron | Not Available | — | ||
RTX 5090 32GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • Spheron | Not Available | — | ||
RTX 6000 Ada 48GB VRAM • | ||||
RTX A6000 48GB VRAM • Koyeb | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Spheron | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
A100 PCIE 40GB VRAM • Koyeb | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • KoyebSpheron | ↑+$1.00(+87.0%) | |||
B200 180GB VRAM • Spheron | Not Available | — | ||
B200 180GB VRAM • | ||||
GH200 96GB VRAM • Spheron | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 SXM 80GB VRAM • KoyebSpheron | ↑+$0.45(+22.0%) | |||
H200 141GB VRAM • Spheron | Not Available | — | ||
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • Spheron | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L40S 48GB VRAM • KoyebSpheron | ↑+$0.25(+26.3%) | |||
RTX 4090 24GB VRAM • Spheron | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
RTX 5090 32GB VRAM • Spheron | Not Available | — | ||
RTX 5090 32GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • Spheron | Not Available | — | ||
RTX 6000 Ada 48GB VRAM • | ||||
RTX A6000 48GB VRAM • Koyeb | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Spheron | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
Explore how these providers compare to other popular GPU cloud services
Compare Koyeb with another leading provider
Compare Koyeb with another leading provider
Compare Koyeb with another leading provider
Compare Koyeb with another leading provider
Compare Koyeb with another leading provider
Compare Koyeb with another leading provider
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
Access GPU capacity from multiple cloud providers and certified data centers from one account, without separate signups per provider
Instances are billed by the minute with no minimum rental period or rounding up to the hour
Instances are typically ready in under two minutes with no approval workflow or provisioning queue
Compute spend across every connected provider is tracked in a single dashboard
Each VM or bare metal instance includes NVMe SSD storage, network bandwidth, a dedicated IP address and full root access
Spheron sources large clusters, specific hardware and InfiniBand configurations from its partner data center network, with a typical quote turnaround of 24-48 hours
Charged per second of GPU runtime, with scale-to-zero when idle
Pre-configured 2x, 4x and 8x GPU instances for larger workloads
Non-interruptible instances billed per minute with no commitment or minimum rental period
Idle capacity on the same hardware at up to 50% off dedicated rates, interruptible when the provider reclaims it
Commit to a duration for locked capacity, volume pricing and dedicated support
Quoted deployments from 8 to 512+ GPUs with specific hardware and InfiniBand configurations sourced from partner data centers
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
Browse available GPU models with live pricing and filter by VRAM, architecture or price
Choose a region, storage and OS image, then deploy; instances are provisioned in around two minutes
SSH in and start working, switch to another GPU model at any time, or spin down to stop per-minute billing
Submit requirements for reserved capacity or custom clusters and Spheron sources, negotiates and sets up the deployment
Global edge presence across North America, Europe and Asia
Documentation, community forum and paid support tiers
Capacity sourced from vetted Tier 3/4 partner data centers spanning multiple continents; region is selected at deploy time
Documentation, API reference and changelog at docs.spheron.ai, plus sales contact and call scheduling for reserved capacity and custom cluster quotes