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Compare GPU and LLM inference API pricing between Koyeb and Zettabyte. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $0.30/hour between comparable GPUs
| GPU Model ↑ | Koyeb Price | Zettabyte Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 SXM 80GB VRAM • Koyeb | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • Koyeb | Not Available | — | ||
B200 192GB VRAM • | ||||
H100 SXM 80GB VRAM • KoyebZettabyte | ↑+$0.30(+13.6%) | |||
H200 141GB VRAM • Koyeb | Not Available | — | ||
H200 141GB VRAM • | ||||
L4 24GB VRAM • Koyeb | Not Available | — | ||
L4 24GB VRAM • | ||||
L40S 48GB VRAM • Koyeb | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX A6000 48GB VRAM • Koyeb | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
A100 SXM 80GB VRAM • Koyeb | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • Koyeb | Not Available | — | ||
B200 192GB VRAM • | ||||
H100 SXM 80GB VRAM • KoyebZettabyte | ↑+$0.30(+13.6%) | |||
H200 141GB VRAM • Koyeb | Not Available | — | ||
H200 141GB VRAM • | ||||
L4 24GB VRAM • Koyeb | Not Available | — | ||
L4 24GB VRAM • | ||||
L40S 48GB VRAM • Koyeb | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX A6000 48GB VRAM • Koyeb | Not Available | — | ||
RTX A6000 48GB 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
Launch GPU instances quickly and scale to hundreds on-demand.
Designed for large-scale training with predictable capacity.
Custom clusters tailored for specific security and procurement needs.
Utilizes a bid/ask system to ensure optimal pricing on GPU resources.
Ensures 99.9% uptime SLA with transparent incident reporting.
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
Access the main platform to explore available services.
Select between on-demand, reserved clusters, or private cloud.
Provide necessary information to create a user account.
Fill in details for account management and payment.
Follow prompts to deploy your chosen compute resource.
Global edge presence across North America, Europe and Asia
Documentation, community forum and paid support tiers