Vulpes
Deep learning framework in F# with CUDA support for GPU execution.
Pricing
Free tier
Flat rate
Adoption
↘CoolingLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is Vulpes?
Vulpes is a deep belief and deep learning implementation written in F#, leveraging CUDA GPU execution through Alea.cuBase, making it suitable for high-performance computing tasks.
Key differentiator
“Vulpes stands out by providing deep learning capabilities in F# with native support for CUDA-accelerated GPU execution, making it ideal for high-performance computing tasks that require both precision and speed.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
Vulpes is implemented in F#, which may be unfamiliar to many developers accustomed to more mainstream languages like Python or Java.
As an open-source project with a niche language focus, Vulpes has a relatively small user base which can result in fewer resources for troubleshooting and learning.
Integrating with Alea.cuBase requires understanding both F# and the specific CUDA API, which can be challenging and may lead to increased development time.
While Vulpes leverages CUDA for GPU execution, the performance might still be constrained by F# runtime characteristics or interoperability issues with Alea.cuBase.
Fit analysis
Who is it for?
✓ Best for
Developers working with F# who need a deep learning framework that supports GPU acceleration via CUDA.
Research teams focusing on neural networks and machine learning algorithms in an academic or industrial setting.
✕ Not a fit for
Projects requiring real-time processing where latency is critical, as setup might be more complex compared to cloud-based services.
Teams looking for a fully managed service without the need to handle GPU configurations and setups.
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Alternatives
Next step
Get Started with Vulpes
Step-by-step setup guide with code examples and common gotchas.