Trusted by 3000+ developers daily

GPU computing for C# developers without learning CUDA

Transform your .NET code into high-performance GPU applications with zero CUDA knowledge. Full debugging support, up to 87% native performance, trusted by major enterprises.

Free Community Edition
Full Visual Studio Integration
VS Code support
Windows / Linux

Trusted by major banks and enterprises worldwide

Higher productivity.

Write C# once and let Hybridizer turn it into GPU-ready code—no wasted time learning CUDA.

Avoid steep CUDA learning curves—leverage your existing C# skills.
Parallelize workloads with simple annotations.
Debug and profile in Visual Studio, no context switching.
Faster iterations from prototype to production.

Focus on your projects.

Stop reinventing the wheel—spend your time on business logic, not GPU plumbing.

Eliminate boilerplate CUDA code with direct C# to GPU mapping.
Keep your development entirely in the .NET ecosystem.
Reuse existing codebases without rewriting for GPUs.
Let Hybridizer handle optimization so you can focus on features.

Unleash optimal performance.

Achieve near hand-written CUDA performance straight from C#, with no compromises.

Up to 83–87% of CUDA C++ performance in real benchmarks.
Generics and inlining ensure high-performance, type-safe code.
Take advantage of the latest AVX/AVX512 and CUDA optimizations.
Scale from desktop to HPC clusters seamlessly.

Seamless Integration

Hybridizer blends naturally into your .NET workflow—no need to change how you build software.

Works inside Visual Studio with familiar tools.
Supports cross-platform deployment (Windows/Linux).
Compatible with existing .NET libraries and frameworks.
Easy onboarding for development teams.

Complete NVIDIA Ecosystem Access

Access the full suite of NVIDIA development tools and libraries directly through Hybridizer—get all the power with none of the complexity.

Leverage NVIDIA Nsight for advanced GPU debugging and profiling.
Use Visual Profiler and CUDA MemCheck for performance optimization.
Access essential libraries like cuBLAS, cuRAND, and cuTENSOR seamlessly.
Hybridizer provides detailed access to all NVIDIA tools when you need them.

and, more features

Unlock powerful Hybridizer features designed to maximize developer productivity, flexibility, and performance.

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

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

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

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."