KernelPro delivers custom-engineered vLLM, SGLang, and TensorRT containers for enterprise multi-modal AI. Built with bespoke CUDA kernels and AWS optimization. You can reduce infrastructure costs with our solutions.
KernelPro comes performance-tested. It takes the best parts of vLLM and inference engines and adds custom kernel optimizations tailored to your workloads.
Build your solution using optimized vLLM, SGLang, TensorRT, or custom implementations engineered for your conversational AI use cases.
KernelPro optimizes your GPU utilization to deliver the same performance at a fraction of the cost by maximizing throughput per dollar.
Need better performance? KernelPro analyzes your prompt patterns and workloads to build kernels optimized for your exact deployment needs.
KernelPro supports vLLM, SGLang, TensorRT, custom CUDA kernels, AWS Deep Learning Containers, and seamless integration with existing pipelines.
Automatic compatibility with EC2 P4/P5 instances, EKS deployments, SageMaker endpoints. Infrastructure optimization that just works with your AWS setup!
KernelPro is backed by kernel engineering experts providing dedicated support, custom development, and continuous optimization for your deployments.
Optimize conversational AI workloads and reduce costs dramatically with KernelPro's custom-engineered GPU acceleration.
