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Compare GPU and LLM inference API pricing between Beam and DigitalOcean. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $0.75/hour between comparable GPUs
| GPU Model ↑ | Beam Price | DigitalOcean 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 • DigitalOcean | Not Available | 8x GPU | — | |
H100 SXM 80GB VRAM • Not Available $2.99/hour 8x GPU configuration Updated: 7/16/2026 ★Best Price | ||||
H200 141GB VRAM • BeamDigitalOcean | ↑+$0.65(+18.9%) | |||
H200 141GB VRAM • $4.09/hour Updated: 7/10/2026 $3.44/hour Updated: 7/16/2026 ★Best Price Price Difference:↑+$0.65(+18.9%) | ||||
L40S 48GB VRAM • BeamDigitalOcean | ↓$0.85(54.1%) | |||
L40S 48GB VRAM • $0.72/hour Updated: 7/16/2026 ★Best Price $1.57/hour Updated: 7/16/2026 Price Difference:↓$0.85(54.1%) | ||||
MI300X 192GB VRAM • DigitalOcean | Not Available | — | ||
MI300X 192GB VRAM • | ||||
RTX 4000 Ada 20GB VRAM • DigitalOcean | Not Available | — | ||
RTX 4000 Ada 20GB VRAM • | ||||
RTX 4090 24GB VRAM • Beam | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
RTX 5090 32GB VRAM • Beam | Not Available | — | ||
RTX 5090 32GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • DigitalOcean | Not Available | — | ||
RTX 6000 Ada 48GB 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 • DigitalOcean | Not Available | 8x GPU | — | |
H100 SXM 80GB VRAM • Not Available $2.99/hour 8x GPU configuration Updated: 7/16/2026 ★Best Price | ||||
H200 141GB VRAM • BeamDigitalOcean | ↑+$0.65(+18.9%) | |||
H200 141GB VRAM • $4.09/hour Updated: 7/10/2026 $3.44/hour Updated: 7/16/2026 ★Best Price Price Difference:↑+$0.65(+18.9%) | ||||
L40S 48GB VRAM • BeamDigitalOcean | ↓$0.85(54.1%) | |||
L40S 48GB VRAM • $0.72/hour Updated: 7/16/2026 ★Best Price $1.57/hour Updated: 7/16/2026 Price Difference:↓$0.85(54.1%) | ||||
MI300X 192GB VRAM • DigitalOcean | Not Available | — | ||
MI300X 192GB VRAM • | ||||
RTX 4000 Ada 20GB VRAM • DigitalOcean | Not Available | — | ||
RTX 4000 Ada 20GB VRAM • | ||||
RTX 4090 24GB VRAM • Beam | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
RTX 5090 32GB VRAM • Beam | Not Available | — | ||
RTX 5090 32GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • DigitalOcean | Not Available | — | ||
RTX 6000 Ada 48GB 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
On-demand NVIDIA and AMD GPU instances with per-hour billing and no long-term contracts.
Pre-configured images with PyTorch, TensorFlow, and CUDA for immediate productivity.
GPU Droplets work seamlessly with DigitalOcean's networking, storage, and managed databases.
Transparent per-hour pricing with no hidden fees or complex instance families.
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
Sign up at digitalocean.com and verify your account.
Select GPU Droplets from the Create menu, choose your GPU type and configuration.
Select a pre-configured AI/ML image or a base OS image.
Launch your GPU Droplet and connect via SSH to start working.
GPU Droplets are available in select US data centers with expansion planned.
24/7 support via ticket system, extensive documentation, and active community forums.