Our Products
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.
Supported Inference Platforms
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 TritonKernelize Nexus
Runtime optimization and layer support for inference platforms
Kernelize Nexus runs alongside existing runtimes in each supported platform to optimize and support layers on new target inference hardware.
Key Features:
- Extends existing inference platform runtimes
- Optimizes layers on new target inference hardware
- Works with vLLM, Ollama, and SGLang
- Seamless integration with existing workflows
Kernelize Forge
Triton kernel generation for new hardware targets
Kernelize Forge works alongside existing kernel libraries, like GGML, using Triton to generate optimized kernels for hardware that doesn't have native support.
Key Features:
- Uses Triton to target new hardware devices
- Works with existing kernel libraries like GGML
- Generates optimized kernels for NPUs, CPUs, and GPUs
- Leverages existing Triton knowledge and tools
How Kernelize Works
1. Extend Platforms
Kernelize Nexus integrates with existing inference platforms to add support for new hardware
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
Common Use Cases
Hardware Vendor Integration
Enable your new NPU or specialized hardware to work with popular inference platforms like vLLM and Ollama
Cost Optimization
Reduce inference costs by enabling platforms to run on more cost-effective hardware alternatives
Triton Kernel Development
Use Triton to generate optimized kernels for hardware that doesn't have native Triton support
Performance Optimization
Optimize layers that are poorly supported by existing inference platforms on your target hardware
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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