Solutions for AI Hardware Providers

Support popular inference platforms, eliminate months of development delays, and provide day-0 support for the latest AI models. Our open-source compiler and consistent AI inference solutions enable your hardware to work with popular platforms.

Enable Platform Compatibility

Make your hardware immediately compatible with vLLM and Ollama. 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

Why Kernelize?

Industry Standard

Open-source code built on industry standard AI infrastructure prevents lock-in and falling behind

Compiler Experts

Our team has decades of experience building compilers for GPU and NPU AI hardware

Triton Community

Leverage the biggest and most experienced AI compiler community in the world

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 and Ollama

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 and Ollama workloads without requiring customers to modify their existing code or workflows

Triton Kernel Generation

Use Triton NPU to generate optimized Triton kernels for your hardware, leveraging existing Triton knowledge and tools. Triton NPU serves as both an example backend for how to target NPUs with Triton and a starting point for NPU hardware developers to build their own backend.

Runtime Optimization

Integrate Kernelize Nexus to optimize layers and provide better performance on your hardware compared to generic implementations. Kernelize Nexus provides an example and starting point for integrating Triton kernels into an inference framework backend.

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

Position your specialized hardware with day-0 support for new models as an alternative to expensive GPUs

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 for day-0 support for new models

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

Triton NPU 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.