Run AI Inference at Significantly Lower Cost

Kernelize enables vLLM, Ollama and SGLang to target new NPU, CPU and GPU hardware devices, making AI inference significantly less expensive to run.

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Who We Help

Companies Running AI Inference

Are you looking to reduce your AI inference costs? Kernelize can help you extend your existing inference platforms to target new, cost-effective hardware devices, enabling you to run the same workloads at significantly lower cost.

What we can help with:

Extend vLLM, Ollama, and SGLang to target new hardware
Optimize layers on new target inference hardware
Reduce inference costs by targeting cost-effective hardware alternatives

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 for AI inference hardware.

What we can help with:

Enable your hardware to work with popular inference platforms
Leverage existing developer ecosystems and workflows
Reduce time to market for new hardware

AI Datacenters

More easily port existing models to your datacenter and future-proof your infrastructure to work with the latest novel AI inference hardware, ensuring your datacenter remains competitive and cost-effective.

What we can help with:

Easily port existing models to your datacenter infrastructure
Future-proof your datacenter for the latest AI inference hardware
Maintain competitive advantage with cost-effective hardware options

Significantly Lower Inference Costs

By enabling your inference platforms to target new hardware devices, Kernelize helps you run AI inference at a fraction of the cost. New NPUs, specialized CPUs, and optimized GPUs can deliver the same performance at significantly lower operational costs.

Lower Hardware Costs

Target cost-effective hardware alternatives to expensive GPUs

Better Performance

Optimized kernels deliver better performance per dollar

Hardware Flexibility

Choose the most cost-effective hardware for your workloads

Supported Inference Platforms

vLLM

High-performance LLM inference

Ollama

Local LLM deployment

SGLang

Structured generation framework

Powered by Triton

Triton is the key enabling technology that makes this possible. Our products use Triton to generate optimized kernels for new hardware targets, enabling cost-effective inference across a wide range of devices.

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Our Products

Kernelize Nexus

Runs alongside existing runtimes to optimize and support layers on new target inference hardware

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Kernelize Forge

Works alongside existing kernel libraries like GGML, using Triton to generate optimized kernels for new hardware targets

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Why Kernelize?

Cost Savings

Run inference at significantly lower cost with new hardware targets

Hardware Flexibility

Target NPUs, CPUs, and GPUs with the same codebase and inference platform

Developer Experience

Leverage existing Triton knowledge and tools to target new hardware efficiently

Ready to Reduce Your Inference Costs?

Whether you're running AI inference and want to reduce costs, you're a hardware provider looking to enable your devices, or you're a datacenter operator wanting to future-proof your infrastructure, Kernelize can help.