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Compare GPU and LLM inference API pricing between Beam and Lambda Labs. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Beam 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 | 2x GPU | — | |
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 | 2x GPU | — | |
H100 SXM 80GB VRAM • | ||||
RTX 6000 Pro 96GB VRAM • Lambda Labs | Not Available | — | ||
RTX 6000 Pro 96GB VRAM • | ||||
RTX A6000 48GB VRAM • Lambda Labs | Not Available | 2x GPU | — | |
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 | 2x GPU | — | |
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 | 2x GPU | — | |
H100 SXM 80GB VRAM • | ||||
RTX 6000 Pro 96GB VRAM • Lambda Labs | Not Available | — | ||
RTX 6000 Pro 96GB VRAM • | ||||
RTX A6000 48GB VRAM • Lambda Labs | Not Available | 2x GPU | — | |
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 Beam with another leading provider
Compare Beam with another leading provider
Compare Beam with another leading provider
Compare Beam with another leading provider
Compare Beam with another leading provider
Compare Beam with another leading provider
Only charged when your code runs, no charges for cold starts or server spin-up
Fast function initialization with checkpoint restore technology
Snapshot and restore sandbox state for faster deployments
Automatic scaling based on demand with deployment logs included
Bring your own Docker images for full environment control
Core engine (beta9) is open-source and can be self-hosted
Sign up on the Beam platform
Create a virtual environment and install the Beam SDK
Configure your API token to connect to Beam