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Compare GPU and LLM inference API pricing between Beam and Vultr. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $0.01/hour between comparable GPUs
| GPU Model ↑ | Beam Price | Vultr Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A10 24GB VRAM • Beam | Not Available | — | ||
A10 24GB VRAM • | ||||
A100 SXM 80GB VRAM • BeamVultr | 4x GPU | ↑+$0.01(+0.8%) | ||
A16 64GB VRAM • Vultr | Not Available | — | ||
A16 64GB VRAM • | ||||
A40 48GB VRAM • Vultr | Not Available | — | ||
A40 48GB VRAM • | ||||
B200 192GB VRAM • Vultr | Not Available | 8x GPU | — | |
B200 192GB VRAM • | ||||
H100 PCIe 80GB VRAM • Beam | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
H100 SXM 80GB VRAM • Vultr | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Beam | Not Available | — | ||
H200 141GB VRAM • | ||||
L40S 48GB VRAM • Beam | Not Available | — | ||
L40S 48GB VRAM • | ||||
MI300X 192GB VRAM • Vultr | Not Available | — | ||
MI300X 192GB VRAM • | ||||
MI325X 256GB VRAM • Vultr | Not Available | — | ||
MI325X 256GB VRAM • | ||||
MI355X 288GB VRAM • Vultr | Not Available | — | ||
MI355X 288GB 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 • BeamVultr | 4x GPU | ↑+$0.01(+0.8%) | ||
A16 64GB VRAM • Vultr | Not Available | — | ||
A16 64GB VRAM • | ||||
A40 48GB VRAM • Vultr | Not Available | — | ||
A40 48GB VRAM • | ||||
B200 192GB VRAM • Vultr | Not Available | 8x GPU | — | |
B200 192GB VRAM • | ||||
H100 PCIe 80GB VRAM • Beam | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
H100 SXM 80GB VRAM • Vultr | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Beam | Not Available | — | ||
H200 141GB VRAM • | ||||
L40S 48GB VRAM • Beam | Not Available | — | ||
L40S 48GB VRAM • | ||||
MI300X 192GB VRAM • Vultr | Not Available | — | ||
MI300X 192GB VRAM • | ||||
MI325X 256GB VRAM • Vultr | Not Available | — | ||
MI325X 256GB VRAM • | ||||
MI355X 288GB VRAM • Vultr | Not Available | — | ||
MI355X 288GB 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
Access to diverse GPU options including AMD Instinct and NVIDIA Tensor Core GPUs
Deploy GPU resources across 32 cloud data center regions worldwide
Vultr Kubernetes Engine for GPU-accelerated containerized workloads
Deploy and scale GenAI models quickly with Vultr Serverless Inference
Choose between GPU-accelerated VMs or dedicated bare metal servers
Accelerate content delivery across six continents with Vultr CDN
Deploy high-performance inference endpoints with custom models
Secure code execution environments for AI agents
Run large-scale workloads with distributed processing
Virtual machines and bare metal servers with NVIDIA GPUs
Computing infrastructure powered by AMD Instinct accelerators
Managed Kubernetes service for GPU-accelerated containerized applications
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
Sign up for a free Vultr account
Choose from AMD or NVIDIA GPU options based on your workload
Select between virtual machine or bare metal deployment
Set up networking, storage, and security options before launching
32 global cloud data center regions across North America, South America, Europe, Asia, Africa, and Australia
Documentation, community forums, support tickets, and dedicated customer support