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Compare GPU pricing between Beam and Shadeform. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $0.27/hour between comparable GPUs
| GPU Model ↑ | Beam Price | Shadeform Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A10 24GB VRAM • Shadeform | Not Available | — | ||
A10 24GB VRAM • | ||||
A100 SXM 80GB VRAM • Shadeform | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
A16 64GB VRAM • Shadeform | Not Available | 2x GPU | — | |
A16 64GB VRAM • | ||||
A40 48GB VRAM • Shadeform | Not Available | — | ||
A40 48GB VRAM • | ||||
Gaudi 2 96GB VRAM • Shadeform | Not Available | 8x GPU | — | |
Gaudi 2 96GB VRAM • | ||||
H100 PCIe 80GB VRAM • Beam | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
H100 SXM 80GB VRAM • Shadeform | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Shadeform | Not Available | 8x GPU | — | |
H200 141GB VRAM • | ||||
L4 24GB VRAM • Shadeform | Not Available | — | ||
L4 24GB VRAM • | ||||
L40 40GB VRAM • Shadeform | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • Shadeform | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX 4000 Ada 20GB VRAM • Shadeform | Not Available | — | ||
RTX 4000 Ada 20GB VRAM • | ||||
RTX 4090 24GB VRAM • BeamShadeform | ↑+$0.09(+15.0%) | |||
RTX 4090 24GB VRAM • $0.69/hour Updated: 9/10/2026 $0.60/hour Updated: 9/10/2026 ★Best Price Price Difference:↑+$0.09(+15.0%) | ||||
RTX 5090 32GB VRAM • BeamShadeform | ↑+$0.44(+67.8%) | |||
RTX 5090 32GB VRAM • $1.09/hour Updated: 9/10/2026 $0.65/hour Updated: 9/10/2026 ★Best Price Price Difference:↑+$0.44(+67.8%) | ||||
RTX 6000 Ada 48GB VRAM • Shadeform | Not Available | — | ||
RTX 6000 Ada 48GB VRAM • | ||||
A10 24GB VRAM • Shadeform | Not Available | — | ||
A10 24GB VRAM • | ||||
A100 SXM 80GB VRAM • Shadeform | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
A16 64GB VRAM • Shadeform | Not Available | 2x GPU | — | |
A16 64GB VRAM • | ||||
A40 48GB VRAM • Shadeform | Not Available | — | ||
A40 48GB VRAM • | ||||
Gaudi 2 96GB VRAM • Shadeform | Not Available | 8x GPU | — | |
Gaudi 2 96GB VRAM • | ||||
H100 PCIe 80GB VRAM • Beam | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
H100 SXM 80GB VRAM • Shadeform | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Shadeform | Not Available | 8x GPU | — | |
H200 141GB VRAM • | ||||
L4 24GB VRAM • Shadeform | Not Available | — | ||
L4 24GB VRAM • | ||||
L40 40GB VRAM • Shadeform | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • Shadeform | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX 4000 Ada 20GB VRAM • Shadeform | Not Available | — | ||
RTX 4000 Ada 20GB VRAM • | ||||
RTX 4090 24GB VRAM • BeamShadeform | ↑+$0.09(+15.0%) | |||
RTX 4090 24GB VRAM • $0.69/hour Updated: 9/10/2026 $0.60/hour Updated: 9/10/2026 ★Best Price Price Difference:↑+$0.09(+15.0%) | ||||
RTX 5090 32GB VRAM • BeamShadeform | ↑+$0.44(+67.8%) | |||
RTX 5090 32GB VRAM • $1.09/hour Updated: 9/10/2026 $0.65/hour Updated: 9/10/2026 ★Best Price Price Difference:↑+$0.44(+67.8%) | ||||
RTX 6000 Ada 48GB VRAM • Shadeform | Not Available | — | ||
RTX 6000 Ada 48GB 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
Deploy high quality GPUs across 30+ top clouds worldwide through one platform
Scale across 100+ regions in North America, Europe, Asia and Australia
Provision GPU instances across top providers with centralized billing and support
Users save up to 90% on GPU instances vs traditional cloud providers
Startup scripts, container launches, templates, persistent volumes and SkyPilot integration documented for instance provisioning
Browse and compare instances and clouds by GPU type, GPU count and compliance, with interconnect and deployment type shown per listing, before creating an account
Deploy high-performance inference endpoints with custom models
Secure code execution environments for AI agents
Run large-scale workloads with distributed processing
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
GPU instances for everything from quick experiments to scaling production workloads
Instantly deployable clusters of up to 64 GPUs, no commitment required
Reserve capacity at a discounted rate on terms from one week to three years, quoted by request across partner clouds
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 to access the Shadeform platform and marketplace
Explore available GPU instances across providers and regions
Launch GPU instances using the unified console or API
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
GPU clusters deployed across 100+ regions in North America, Europe, Asia and Australia
Documentation with API reference and tutorial library, unified platform console, email support and call scheduling for reservation quotes; managed Kubernetes for reserved clusters available at additional cost