Beam vs Lambda Labs
Compare GPU pricing, features, and specifications between Beam and Lambda Labs cloud providers. Find the best deals for AI training, inference, and ML workloads.
Beam
Provider 1
Lambda Labs
Provider 2
Comparison Overview
GPU Pricing Comparison
| GPU Model ↑ | Beam Price | Lambda Labs Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A10 24GB VRAM • Lambda Labs | Not Available | — | ||
A10 24GB VRAM • | ||||
A100 PCIE 40GB VRAM • Lambda Labs | Not Available | — | ||
A100 PCIE 40GB 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 80GB VRAM • Lambda Labs | Not Available | — | ||
H100 80GB VRAM • | ||||
H100 SXM 80GB VRAM • Lambda Labs | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • Lambda Labs | Not Available | — | ||
RTX 6000 Ada 48GB VRAM • | ||||
RTX 6000 Pro 96GB VRAM • Lambda Labs | Not Available | — | ||
RTX 6000 Pro 96GB 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 PCIE 40GB VRAM • Lambda Labs | Not Available | — | ||
A100 PCIE 40GB 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 80GB VRAM • Lambda Labs | Not Available | — | ||
H100 80GB VRAM • | ||||
H100 SXM 80GB VRAM • Lambda Labs | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • Lambda Labs | Not Available | — | ||
RTX 6000 Ada 48GB VRAM • | ||||
RTX 6000 Pro 96GB VRAM • Lambda Labs | Not Available | — | ||
RTX 6000 Pro 96GB 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 • | ||||
Features Comparison
Beam
- Pay-per-millisecond Billing
Only charged when your code runs, no charges for cold starts or server spin-up
- Sub-second Cold Starts
Fast function initialization with checkpoint restore technology
- Sandbox Snapshots
Snapshot and restore sandbox state for faster deployments
- Autoscaling
Automatic scaling based on demand with deployment logs included
- Custom Docker Images
Bring your own Docker images for full environment control
- Open Source
Core engine (beta9) is open-source and can be self-hosted
Lambda Labs
Pros & Cons
Beam
Advantages
- Pay-per-millisecond billing with no charges for cold starts
- Sub-second cold starts with checkpoint restore
- Up to 80% savings compared to always-on instances
- Open-source core engine (beta9) available for self-hosting
Considerations
- Smaller GPU selection compared to major cloud providers
- Newer platform with smaller community
- Focused primarily on serverless workloads
Lambda Labs
Advantages
- Early access to latest NVIDIA GPUs (H100, H200, Blackwell)
- Specialized for AI workloads
- One-click Jupyter access
- Pre-installed popular ML frameworks
Considerations
- Primarily focused on AI and ML workloads
- Limited global data center presence compared to major cloud providers
- Newer player in the cloud GPU market
Compute Services
Beam
Lambda Labs
Pricing Options
Beam
Lambda Labs
Getting Started
Beam
- 1
Create an account
Sign up on the Beam platform
- 2
Set up Python environment
Create a virtual environment and install the Beam SDK
- 3
Authenticate with API token
Configure your API token to connect to Beam
Lambda Labs
Support & Global Availability
Beam
Lambda Labs
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