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Compare GPU and LLM inference API pricing between Beam and Zettabyte. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Beam Price | Zettabyte Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A10 24GB VRAM • Beam | Not Available | — | ||
A10 24GB VRAM • | ||||
A100 SXM 80GB VRAM • Beam | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
H100 PCIe 80GB VRAM • Beam | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
H100 SXM 80GB VRAM • Zettabyte | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Beam | Not Available | — | ||
H200 141GB VRAM • | ||||
L40S 48GB VRAM • Beam | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX 4090 24GB VRAM • Beam | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
RTX 5090 32GB VRAM • Beam | Not Available | — | ||
RTX 5090 32GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Beam | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
A10 24GB VRAM • Beam | Not Available | — | ||
A10 24GB VRAM • | ||||
A100 SXM 80GB VRAM • Beam | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
H100 PCIe 80GB VRAM • Beam | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
H100 SXM 80GB VRAM • Zettabyte | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Beam | Not Available | — | ||
H200 141GB VRAM • | ||||
L40S 48GB VRAM • Beam | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX 4090 24GB VRAM • Beam | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
RTX 5090 32GB VRAM • Beam | Not Available | — | ||
RTX 5090 32GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Beam | Not Available | — | ||
RTX PRO 6000 96GB 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
Ultrafast boot times with advanced container optimization
Run untrusted code safely in isolated environments for AI agents and code interpreters
Pause and resume sessions while maintaining filesystem, memory, and running processes
Scale to zero when idle, burst to thousands of containers in seconds
Bring your own Docker images for full environment control
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.
Deploy high-performance inference endpoints with custom models
Secure code execution environments for AI agents
Run large-scale workloads with distributed processing
Only pay for actual compute time with no minimum charges
Developer plan free with usage, Team plan starts at monthly base fee plus usage
All plans include monthly free credits for getting started
Sign up on the Beam platform
Create a virtual environment and install the Beam SDK
Configure your API token to connect to Beam
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.