nCompass Technologies

Optimize performance on GPUs - 10x faster

Y CombinatorWinter 2024ActiveB2BEngineering, Product and DesignArtificial IntelligenceDeveloper ToolsHardwareOpen Source

What they do

Problem

GPU system performance bottlenecks are difficult and time-consuming to identify and optimize across the full stack, slowing down inference and other GPU workloads.

Solution

An AI agent and VSCode extension that analyzes GPU performance from CPU-GPU interactions to kernels, compares trace diffs, and helps implement optimization fixes with tools like Cursor/Claude Code.

Who it's for

Developers and performance engineers optimizing GPU workloads such as inference engines in companies running GPU-accelerated systems.

Founders

Aditya Rajagopal

Co-Founder

I am a recent PhD graduate from Imperial College London with experience in machine learning algorithms, compilers and hardware architectures. I've worked in compiler teams at Qualcomm and Huawei as well as served as a reviewer for ICML. My co-founder and I are building nCompass which is a platform for accelerating and hosting both open-source and custom large AI models. Our focus is on providing rate unlimited and low latency large AI inference with only one line of code.

LinkedIn · X

Diederik Vink

Founder

I'm a recent Imperial College London PhD Graduate where I specialized in reconfigurable hardware architectures for accelerated machine learning and reduced precision training algorithms. I have worked as an AI feasibility consultant prototyping and evaluating AI spin-outs. We are building nCompass, a platform for accelerating and hosting both open-source and custom large AI models. Our focus is on providing rate-unlimited and low latency large AI inference with only one line of code.