Beam vs CoreWeave
Compare GPU pricing, features, and specifications between Beam and CoreWeave cloud providers. Find the best deals for AI training, inference, and ML workloads.
Beam
Provider 1
CoreWeave
Provider 2
Comparison Overview
GPU Pricing Comparison
| GPU Model ↑ | Beam Price | CoreWeave Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 SXM 80GB VRAM • CoreWeave | Not Available | 8x GPU | — | |
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • CoreWeave | Not Available | 41x GPU | — | |
B200 192GB VRAM • | ||||
GB200 384GB VRAM • CoreWeave | Not Available | 41x GPU | — | |
GB200 384GB VRAM • | ||||
GB300 576GB VRAM • CoreWeave | Not Available | 41x GPU | — | |
GB300 576GB VRAM • | ||||
GH200 96GB VRAM • CoreWeave | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 80GB VRAM • CoreWeave | Not Available | 2x GPU | — | |
H100 80GB VRAM • | ||||
H200 141GB VRAM • CoreWeave | Not Available | 8x GPU | — | |
H200 141GB VRAM • | ||||
L40 40GB VRAM • CoreWeave | Not Available | 2x GPU | — | |
L40 40GB VRAM • | ||||
L40S 48GB VRAM • CoreWeave | Not Available | 8x GPU | — | |
L40S 48GB VRAM • | ||||
A100 SXM 80GB VRAM • CoreWeave | Not Available | 8x GPU | — | |
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • CoreWeave | Not Available | 41x GPU | — | |
B200 192GB VRAM • | ||||
GB200 384GB VRAM • CoreWeave | Not Available | 41x GPU | — | |
GB200 384GB VRAM • | ||||
GB300 576GB VRAM • CoreWeave | Not Available | 41x GPU | — | |
GB300 576GB VRAM • | ||||
GH200 96GB VRAM • CoreWeave | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 80GB VRAM • CoreWeave | Not Available | 2x GPU | — | |
H100 80GB VRAM • | ||||
H200 141GB VRAM • CoreWeave | Not Available | 8x GPU | — | |
H200 141GB VRAM • | ||||
L40 40GB VRAM • CoreWeave | Not Available | 2x GPU | — | |
L40 40GB VRAM • | ||||
L40S 48GB VRAM • CoreWeave | Not Available | 8x GPU | — | |
L40S 48GB 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
CoreWeave
- Kubernetes-Native Platform
Purpose-built AI-native platform with Kubernetes-native developer experience
- Latest NVIDIA GPUs
First-to-market access to the latest NVIDIA GPUs including H100, H200, and Blackwell architecture
- Mission Control
Unified security, talent services, and observability platform for large-scale AI operations
- High Performance Networking
High-performance clusters with InfiniBand networking for optimal scale-out connectivity
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
CoreWeave
Advantages
- Extensive selection of NVIDIA GPUs, including latest Blackwell architecture
- Kubernetes-native infrastructure for easy scaling and deployment
- Fast deployment with 10x faster inference spin-up times
- High cluster reliability with 96% goodput and 50% fewer interruptions
Considerations
- Primary focus on North American data centers
- Specialized nature may not suit all general computing needs
- Learning curve for users unfamiliar with Kubernetes
Compute Services
Beam
CoreWeave
GPU Instances
On-demand and reserved GPU instances with latest NVIDIA hardware
CPU Instances
High-performance CPU instances to complement GPU workloads
Pricing Options
Beam
CoreWeave
On-Demand Instances
Pay-per-hour GPU and CPU instances with flexible scaling
Reserved Capacity
Committed usage discounts up to 60% over on-demand pricing
Transparent Storage
No ingress, egress, or transfer fees for data movement
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
CoreWeave
- 1
Create Account
Sign up for CoreWeave Cloud platform access
- 2
Choose GPU Instance
Select from latest NVIDIA GPUs including H100, H200, and Blackwell architecture
- 3
Deploy via Kubernetes
Use Kubernetes-native tools for workload deployment and scaling
Support & Global Availability
Beam
CoreWeave
Global Regions
Deployments across North America with expanding global presence
Support
24/7 support from dedicated engineering teams, comprehensive documentation, and Kubernetes expertise
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