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.
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
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.
Learn More About TritonOur Products
Kernelize Nexus
Runs alongside existing runtimes to optimize and support layers on new target inference hardware
Learn MoreKernelize Forge
Works alongside existing kernel libraries like GGML, using Triton to generate optimized kernels for new hardware targets
Learn MoreWhy 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?
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.
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