Loading Comparison
Fetching pricing data and provider information...
Compare GPU pricing between fal.ai and Shadeform. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $0.80/hour between comparable GPUs
| GPU Model ↑ | fal.ai 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 • | ||||
B200 180GB VRAM • fal.ai | Not Available | — | ||
B200 180GB VRAM • | ||||
Gaudi 2 96GB VRAM • Shadeform | Not Available | 8x GPU | — | |
Gaudi 2 96GB VRAM • | ||||
GH200 96GB VRAM • Shadeform | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 SXM 80GB VRAM • Shadeform | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Shadeform | Not Available | 8x GPU | — | |
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • fal.ai | Not Available | — | ||
HGX B300 288GB 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 • Shadeform | Not Available | 8x GPU | — | |
RTX 4090 24GB VRAM • | ||||
RTX 5090 32GB VRAM • Shadeform | Not Available | — | ||
RTX 5090 32GB 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 • | ||||
B200 180GB VRAM • fal.ai | Not Available | — | ||
B200 180GB VRAM • | ||||
Gaudi 2 96GB VRAM • Shadeform | Not Available | 8x GPU | — | |
Gaudi 2 96GB VRAM • | ||||
GH200 96GB VRAM • Shadeform | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 SXM 80GB VRAM • Shadeform | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Shadeform | Not Available | 8x GPU | — | |
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • fal.ai | Not Available | — | ||
HGX B300 288GB 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 • Shadeform | Not Available | 8x GPU | — | |
RTX 4090 24GB VRAM • | ||||
RTX 5090 32GB VRAM • Shadeform | Not Available | — | ||
RTX 5090 32GB VRAM • | ||||
Explore how these providers compare to other popular GPU cloud services
Compare fal.ai with another leading provider
Compare fal.ai with another leading provider
Compare fal.ai with another leading provider
Compare fal.ai with another leading provider
Compare fal.ai with another leading provider
Compare fal.ai with another leading provider
Production endpoints for image, video and audio models billed by output unit (per image, per megapixel, per second or per video)
Run private models on dedicated NVIDIA GPUs with autoscaling and scale-to-zero
Inference engines tuned for diffusion and audio workloads
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
Hosted model endpoints billed per generated output unit — per image, per megapixel, per second of video or per video
Custom deployments billed per second of GPU runtime, with scale-to-zero
Volume commitments and dedicated capacity for high-throughput customers, with discounted GPU rates below the published list price
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 and generate an API key
Choose from the catalog or define a custom GPU-backed deployment
Invoke endpoints from any language using the REST or SDK clients
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
Multi-region serverless infrastructure
Documentation, community channels and enterprise support for paid customers
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