Solutions

Kernelize enables vLLM, Ollama and SGLang to target a wide range of new NPU, CPU and GPU hardware devices. Our solutions help you extend existing inference platforms and run AI inference at significantly lower cost.

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

Use Cases:

Enable vLLM to run on new NPU hardware
Optimize performance for unsupported layers
Extend vLLM's hardware compatibility

Ollama

Local LLM deployment

Use Cases:

Run Ollama on new hardware devices
Optimize local inference performance
Extend Ollama's hardware support

SGLang

Structured generation framework

Use Cases:

Enable SGLang to target new hardware
Optimize structured generation on new devices
Extend SGLang's hardware compatibility

Powered by Triton

Triton is the key enabling technology that makes cost-effective inference possible. Our products use Triton to generate optimized kernels for new hardware targets, enabling your inference platforms to run on cost-effective hardware alternatives.

Learn More About Triton

Our Solutions

Cost Optimization

Reduce inference costs by enabling platforms to run on cost-effective hardware alternatives

Benefits:

Significantly lower hardware costs
Better performance per dollar
Flexible hardware choices

Hardware Vendor Integration

Enable your new NPU or specialized hardware to work with popular inference platforms

Benefits:

Extend your hardware's reach to popular inference platforms
Leverage existing developer ecosystems
Reduce time to market for new hardware

Performance Optimization

Optimize layers on new target inference hardware

Benefits:

Improve performance on target hardware
Optimize layers on new target inference hardware
Maximize hardware utilization

How Kernelize Works

1. Extend Platforms

Kernelize Nexus integrates with existing inference platforms to add support for new hardware layers

2. Generate Kernels

Kernelize Forge uses Triton to generate optimized kernels for new hardware targets

3. Reduce Costs

Run your existing inference workloads on cost-effective hardware alternatives

Ready to Reduce Your Inference Costs?

Get in touch to learn how Kernelize can help you run AI inference at significantly lower cost by enabling your platforms to target new hardware devices.