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Compare GPU pricing between Aquanode and Koyeb. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Aquanode Price | Koyeb Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • Koyeb | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Koyeb | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
H100 SXM 80GB VRAM • Koyeb | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
HGX B300 288GB VRAM • Aquanode | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L40S 48GB VRAM • Koyeb | Not Available | — | ||
L40S 48GB VRAM • | ||||
MI300X 192GB VRAM • Aquanode | Not Available | — | ||
MI300X 192GB VRAM • | ||||
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 • Koyeb | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
H100 SXM 80GB VRAM • Koyeb | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
HGX B300 288GB VRAM • Aquanode | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L40S 48GB VRAM • Koyeb | Not Available | — | ||
L40S 48GB VRAM • | ||||
MI300X 192GB VRAM • Aquanode | Not Available | — | ||
MI300X 192GB VRAM • | ||||
RTX A6000 48GB VRAM • Koyeb | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
Explore how these providers compare to other popular GPU cloud services
Compare Aquanode with another leading provider
Compare Aquanode with another leading provider
Compare Aquanode with another leading provider
Compare Aquanode with another leading provider
Compare Aquanode with another leading provider
Compare Aquanode 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
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 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
Global edge presence across North America, Europe and Asia
Documentation, community forum and paid support tiers