GPU MODE is a platform that hosts leaderboards for GPU programming benchmarks, allowing developers to submit and compare the performance of their code across various GPU models such as A100, H100, and MI300. It provides detailed timing results for common kernels like vector sum, matrix multiplication, and convolution, helping users gauge optimization effectiveness and discover high‑performing implementations.
Funding
Funding not disclosed
Founders
Product
Problem
GPU developers often lack a unified, accessible way to benchmark and compare the performance of their code across different GPU architectures, making it difficult to assess optimization effectiveness and stay competitive.
Solution
GPU MODE provides an online platform where users can submit GPU kernels directly through a web browser and see their execution times measured in microseconds on a range of hardware, including NVIDIA A100, H100, L4, and AMD MI300 GPUs. The site hosts ready‑to‑run benchmark suites covering common operations such as vector sums, matrix multiplication, sorting, prefix sums, histograms, and convolutions. Submitted results are automatically placed on public leaderboards, allowing participants to compare their performance against peers and top performers in real time. The platform abstracts away the need for local hardware access, driver setup, and measurement tooling, enabling rapid iteration and transparent performance tracking. Users can also explore closed competitions that archive historical runs for deeper analysis.
Target Audience
Primary users are GPU programmers, performance engineers, and academic researchers who need to evaluate and showcase kernel efficiency across diverse GPU architectures.
Features
- Browser‑based code submission eliminates the need for local GPU hardware or complex environment setup
- Automated timing of kernels on multiple GPU models (A100, H100, L4, MI300, etc.) with microsecond precision
- Predefined benchmark suites for common GPU workloads (vectorsum, vectoradd, sort, prefixsum, matmul, histogram, conv2d, etc.)
- Real‑time public leaderboards that rank submissions by execution time and display hardware details
- Archive of closed competitions for historical performance data and comparative research
- Simple UI for navigating active and completed contests, with clear winner indicators