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Compare GPU and LLM inference API pricing between Koyeb and Lambda Labs. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Koyeb Price | Lambda Labs Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A10 24GB VRAM • Lambda Labs | Not Available | — | ||
A10 24GB VRAM • | ||||
A100 SXM 80GB VRAM • Lambda Labs | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • Lambda Labs | Not Available | 8x GPU | — | |
B200 192GB VRAM • | ||||
GH200 96GB VRAM • Lambda Labs | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 SXM 80GB VRAM • Lambda Labs | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
RTX A6000 48GB VRAM • Lambda Labs | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
Tesla V100 32GB VRAM • Lambda Labs | Not Available | 8x GPU | — | |
Tesla V100 32GB VRAM • | ||||
A10 24GB VRAM • Lambda Labs | Not Available | — | ||
A10 24GB VRAM • | ||||
A100 SXM 80GB VRAM • Lambda Labs | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • Lambda Labs | Not Available | 8x GPU | — | |
B200 192GB VRAM • | ||||
GH200 96GB VRAM • Lambda Labs | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 SXM 80GB VRAM • Lambda Labs | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
RTX A6000 48GB VRAM • Lambda Labs | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
Tesla V100 32GB VRAM • Lambda Labs | Not Available | 8x GPU | — | |
Tesla V100 32GB 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
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