Choose your Hybridizer plan

From hobby projects to enterprise-grade workloads. Start with our free Community Edition or upgrade to Enterprise for commercial applications.

Community Edition

Fully functional, perfect for learning and non-commercial projects.

Fully functional GPU acceleration
Non-commercial use only
Visual Studio integration
Community support (Slack/Discord)
CUDA code generation
Parallel.For support
Generics and virtual functions
GPU debugging and profiling

Enterprise Edition

Commercial usage license with enterprise support and premium features.

Commercial usage license
Access to generated CUDA source code
Use kernels with Java or Python
AVX/AVX2/AVX512 code generation
ROCm beta code generation early access
Access to source code on demand
24/7 enterprise support
Priority bug fixes
Code auditing and optimization
Cross-platform deployment
Consulting days included
Performance optimization consulting

Compare plans & features

Community EditionFree Try Hybridizer Free

Enterprise EditionContact Sales Talk to Experts

Core Features

Fully functional GPU acceleration

Visual Studio integration

CUDA code generation

Parallel.For support

Generics and virtual functions

GPU debugging and profiling

Usage & Support

Community support (Discord)

Commercial usage license

24/7 enterprise support

Priority bug fixes

Consulting days included

Advanced Features

Cross-platform deployment

Exceptions Handling

Generated CUDA source code

ROCm support (beta)

AVX/AVX2/AVX512 code generation

Code auditing and optimization

Custom compilation

Optimization consulting

Everything you need to accelerate .NET on GPU

Both editions include full Visual Studio integration, debugging support, and the power to transform C# code into high-performance GPU applications without CUDA knowledge.

Full C# Fidelity

Bring advanced C# features like generics, exceptions, lambdas seamlessly into GPU kernels.

Code Anywhere Effortlessly

Develop and test GPU-accelerated applications remotely with full reproducibility and zero friction.

Cross-Platform Power

Run Hybridizer seamlessly on Linux with native .NET Core for broader deployment flexibility.

Debug Made Simple

Add print statements inside GPU kernels for straightforward debugging and rapid iteration.

Future-Proof Performance

Automatically benefit from new GPU architectures without changing a single line of code.

Pro-Level Debugging

Use NVIDIA Nsight tools for advanced debugging and profiling of GPU-accelerated applications.

What Our Clients Say

3000+ Developers Trust Hybridizer

"We needed GPU acceleration for our complex risk models but couldn't afford the learning curve of CUDA. Hybridizer delivered exactly what we needed - enterprise-grade GPU computing with our existing .NET skills."

Sarah Mitchell

Senior Software Architect, AON

"Hybridizer's integration with Visual Studio made GPU development accessible to our entire .NET team. The performance gains on our trading algorithms have been exceptional."

Florent Dahm

Quantitative Developer, Société Générale

"We needed GPU acceleration for our complex risk models but couldn't afford the learning curve of CUDA. Hybridizer delivered exactly what we needed - enterprise-grade GPU computing with our existing .NET skills."

Sarah Mitchell

Senior Software Architect, AON

"Hybridizer's integration with Visual Studio made GPU development accessible to our entire .NET team. The performance gains on our trading algorithms have been exceptional."

Florent Dahm

Quantitative Developer, Société Générale

"We needed GPU acceleration for our complex risk models but couldn't afford the learning curve of CUDA. Hybridizer delivered exactly what we needed - enterprise-grade GPU computing with our existing .NET skills."

Sarah Mitchell

"Hybridizer's integration with Visual Studio made GPU development accessible to our entire .NET team. The performance gains on our trading algorithms have been exceptional."

Florent Dahm

"We needed GPU acceleration for our complex risk models but couldn't afford the learning curve of CUDA. Hybridizer delivered exactly what we needed - enterprise-grade GPU computing with our existing .NET skills."

Sarah Mitchell

"Hybridizer's integration with Visual Studio made GPU development accessible to our entire .NET team. The performance gains on our trading algorithms have been exceptional."

Florent Dahm

"What would have taken us 6 months to learn CUDA and implement, we accomplished in 3 weeks with Hybridizer. The generated code is clean and auditable."

David Park

CTO, AI Startup

"Being able to debug GPU code directly in Visual Studio with full variable inspection saved us months of development time. This is the future of GPU computing for .NET."

Lisa Rodriguez

Senior .NET Developer, Tech Startup

"The 24/7 support and consulting days included in the Enterprise Edition helped us optimize our GPU kernels beyond what we thought possible. Hybridizer pays for itself."

Michael Chen

HPC Developer, Financial Services

"What would have taken us 6 months to learn CUDA and implement, we accomplished in 3 weeks with Hybridizer. The generated code is clean and auditable."

David Park

CTO, AI Startup

"Being able to debug GPU code directly in Visual Studio with full variable inspection saved us months of development time. This is the future of GPU computing for .NET."

Lisa Rodriguez

Senior .NET Developer, Tech Startup

"The 24/7 support and consulting days included in the Enterprise Edition helped us optimize our GPU kernels beyond what we thought possible. Hybridizer pays for itself."

Michael Chen

HPC Developer, Financial Services

"What would have taken us 6 months to learn CUDA and implement, we accomplished in 3 weeks with Hybridizer. The generated code is clean and auditable."

David Park

"Being able to debug GPU code directly in Visual Studio with full variable inspection saved us months of development time. This is the future of GPU computing for .NET."

Lisa Rodriguez

"The 24/7 support and consulting days included in the Enterprise Edition helped us optimize our GPU kernels beyond what we thought possible. Hybridizer pays for itself."

Michael Chen

"What would have taken us 6 months to learn CUDA and implement, we accomplished in 3 weeks with Hybridizer. The generated code is clean and auditable."

David Park

"Being able to debug GPU code directly in Visual Studio with full variable inspection saved us months of development time. This is the future of GPU computing for .NET."

Lisa Rodriguez

"The 24/7 support and consulting days included in the Enterprise Edition helped us optimize our GPU kernels beyond what we thought possible. Hybridizer pays for itself."

Michael Chen

"The 24/7 support and consulting days included in the Enterprise Edition helped us optimize our GPU kernels beyond what we thought possible. Hybridizer pays for itself."

Michael Chen

HPC Developer, Financial Services

"Being able to debug GPU code directly in Visual Studio with full variable inspection saved us months of development time. This is the future of GPU computing for .NET."

Lisa Rodriguez

Senior .NET Developer, Tech Startup

"What would have taken us 6 months to learn CUDA and implement, we accomplished in 3 weeks with Hybridizer. The generated code is clean and auditable."

David Park

CTO, AI Startup

"The 24/7 support and consulting days included in the Enterprise Edition helped us optimize our GPU kernels beyond what we thought possible. Hybridizer pays for itself."

Michael Chen

HPC Developer, Financial Services

"Being able to debug GPU code directly in Visual Studio with full variable inspection saved us months of development time. This is the future of GPU computing for .NET."

Lisa Rodriguez

Senior .NET Developer, Tech Startup

"What would have taken us 6 months to learn CUDA and implement, we accomplished in 3 weeks with Hybridizer. The generated code is clean and auditable."

David Park

CTO, AI Startup

"The 24/7 support and consulting days included in the Enterprise Edition helped us optimize our GPU kernels beyond what we thought possible. Hybridizer pays for itself."

Michael Chen

"Being able to debug GPU code directly in Visual Studio with full variable inspection saved us months of development time. This is the future of GPU computing for .NET."

Lisa Rodriguez

"What would have taken us 6 months to learn CUDA and implement, we accomplished in 3 weeks with Hybridizer. The generated code is clean and auditable."

David Park

"The 24/7 support and consulting days included in the Enterprise Edition helped us optimize our GPU kernels beyond what we thought possible. Hybridizer pays for itself."

Michael Chen

"Being able to debug GPU code directly in Visual Studio with full variable inspection saved us months of development time. This is the future of GPU computing for .NET."

Lisa Rodriguez

"What would have taken us 6 months to learn CUDA and implement, we accomplished in 3 weeks with Hybridizer. The generated code is clean and auditable."