Loading Comparison
Fetching pricing data and provider information...
Loading Comparison
Fetching pricing data and provider information...
Compare GPU pricing between Beam and UpCloud. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $0.14/hour between comparable GPUs
| GPU Model ↑ | Beam Price | UpCloud Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 SXM 80GB VRAM • Beam | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
B200 180GB VRAM • BeamUpCloud | 2x GPU | ↑+$0.04(+0.9%) | ||
H100 PCIe 80GB VRAM • Beam | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
H100 SXM 80GB VRAM • UpCloud | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
L4 24GB VRAM • UpCloud | Not Available | — | ||
L4 24GB VRAM • | ||||
L40 40GB VRAM • Beam | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • BeamUpCloud | ↓$0.24(24.8%) | |||
RTX 4090 24GB VRAM • Beam | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
RTX 5090 32GB VRAM • Beam | Not Available | — | ||
RTX 5090 32GB VRAM • | ||||
RTX A6000 48GB VRAM • Beam | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Beam | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
A100 SXM 80GB VRAM • Beam | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
B200 180GB VRAM • BeamUpCloud | 2x GPU | ↑+$0.04(+0.9%) | ||
H100 PCIe 80GB VRAM • Beam | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
H100 SXM 80GB VRAM • UpCloud | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
L4 24GB VRAM • UpCloud | Not Available | — | ||
L4 24GB VRAM • | ||||
L40 40GB VRAM • Beam | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • BeamUpCloud | ↓$0.24(24.8%) | |||
RTX 4090 24GB VRAM • Beam | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
RTX 5090 32GB VRAM • Beam | Not Available | — | ||
RTX 5090 32GB VRAM • | ||||
RTX A6000 48GB VRAM • Beam | Not Available | — | ||
RTX A6000 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
Memory snapshots and GPU checkpoint restore bring containers back in seconds, which Beam reports as up to 35x faster than a traditional cold boot
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, including running the Docker daemon inside containers
No shared hardware — each GPU is always dedicated to a single server with full performance isolation
Helsinki data center powered entirely by renewable energy with up to 90% waste heat recovery for district heating
GDPR-compliant infrastructure in Finland with strong jurisdictional protections and no third-party dependencies
No egress fees — outbound data transfer is included at no extra cost
Pay only for active compute time with hourly billing, no rigid contracts or long-term commitments required
Deploy high-performance inference endpoints with custom models
Secure code execution environments for AI agents
Run large-scale workloads with distributed processing
On-demand and spot NVIDIA L4, L40S, H100, and B200 GPU instances with dedicated hardware and AMD EPYC processors
Dedicated private cloud infrastructure with NVIDIA L4, L40S, and H200 NVL GPUs
Serverless GPU, CPU, and sandbox usage billed by the millisecond with no minimum charges
Serverless access to GPUs beyond the RTX 4090 is arranged through a committed-spend agreement
Flat hourly price per machine that already includes the vCPU, RAM, and NVMe storage
Multi-node InfiniBand clusters reserved monthly or yearly, quoted through sales
Per-vCPU and per-GB management fee on top of compute billed directly by your own cloud provider
Persistent volumes and snapshots included up to a capacity threshold, then billed per GB per month
Developer plan free with usage, Team plan with a monthly base fee plus usage, and a contact-sales Growth tier
All plans include monthly free credits that refresh each month
Discounts available for high monthly usage, arranged through sales
Hourly billing for L4, L40S, H100, and B200 GPU instances with no upfront commitment — pay only for active compute time
Discounted spot pricing for GPU Servers, offering lower hourly rates for interruptible workloads
Fixed monthly pricing for dedicated private cloud GPU infrastructure with L4, L40S, and H200 NVL
Sign up on the Beam platform to receive monthly free credits
Create a virtual environment and install the Beam SDK
Configure your API token to connect to Beam
Run a function locally, then deploy it as a web endpoint with the Beam CLI
Sign up at upcloud.com and complete account verification
Choose from NVIDIA L4, L40S, H100, or B200 GPU configurations with varying vCPU and RAM options
Use pre-configured GPU Ubuntu templates to get started quickly with CUDA and ML frameworks
Add block storage devices (1 GB–4 TB each) from any storage tier for your operating system and data
30+ regions spanning the US, EU, Asia-Pacific, and Canada, with workloads routed across clouds and regions in real time
Documentation, public Slack community, and a status page; live chat support on paid plans and a private Slack channel on the top tier
Helsinki, Finland (Telia Helsinki Data Center)
Documentation, API reference, and support team available through the UpCloud control panel