Solutions for AI Hardware Providers

Our goal at Kernelize is to seamlessly move GPU workloads to your AI inference hardware. We provide access to an open-source compiler and consistent AI inference solutions that enable your hardware to work with popular platforms.

Enable Platform Compatibility

Make your hardware immediately compatible with vLLM, Ollama, and SGLang. Reduce time to market and leverage existing developer ecosystems to accelerate customer adoption of your hardware platform.

Enable Your Hardware for Popular Platforms

vLLM

High-performance LLM inference

Ollama

Local LLM deployment

SGLang

Structured generation framework

Why Partner with Kernelize?

Faster Time to Market

Reduce development time by leveraging existing inference platform ecosystems and developer workflows

Developer Ecosystem Access

Gain immediate access to thousands of developers already using vLLM, Ollama, and SGLang

Seamless Hardware Integration

Enable your hardware to work with popular platforms without requiring customers to change their workflows

Competitive Advantage

Differentiate your hardware by offering compatibility with the most popular inference platforms

Our Solutions for Hardware Providers

Platform Compatibility

Enable your hardware to run vLLM, Ollama, and SGLang workloads without requiring customers to modify their existing code or workflows

Triton Kernel Generation

Use Kernelize Forge to generate optimized Triton kernels for your hardware, leveraging existing Triton knowledge and tools

Runtime Optimization

Integrate Kernelize Nexus to optimize layers and provide better performance on your hardware compared to generic implementations

Developer Experience

Provide developers with familiar tools and workflows, reducing the learning curve for your hardware platform

Common Use Cases

NPU Market Entry

All Platforms

Quickly enable your new NPU to work with popular inference platforms, accelerating customer adoption

GPU Alternative

vLLM, SGLang

Position your specialized hardware as a cost-effective alternative to expensive GPUs for AI inference

Edge Device Support

Ollama

Enable local AI inference on your edge devices with optimized kernels for consumer hardware

Datacenter Integration

All Platforms

Make your hardware an attractive option for datacenters looking to reduce inference costs

How Kernelize Works for Hardware Providers

1. Platform Integration

Kernelize Nexus enables your hardware to work with existing inference platforms without requiring customer changes

2. Kernel Generation

Kernelize Forge uses Triton to generate optimized kernels specifically for your hardware architecture

3. Accelerate Adoption

Reduce time to market and accelerate customer adoption by leveraging existing developer ecosystems

Ready to Enable Platform Compatibility?

Get in touch to learn how Kernelize can help you enable your hardware to work with popular inference platforms and accelerate your time to market.