RightNow AI – An AI platform for automatically analyzing and optimizing CUDA kernel code

What is RightNow AI?

RightNow AI is an AI platform focused on optimizing CUDA code. By automatically analyzing and optimizing CUDA kernel code, it significantly enhances GPU performance and supports a wide range of NVIDIA GPU architectures, such as Ampere and Hopper. Users can generate high-performance code through natural language prompts without deep GPU programming knowledge. RightNow AI offers serverless GPU performance analysis, allowing users to run tests without the need for local hardware.

Key Features of RightNow AI

Automatic CUDA Code Optimization: Automatically analyzes CUDA kernel code to detect performance bottlenecks and applies optimization strategies to significantly improve performance.
Support for Multiple GPU Architectures: Compatible with all major NVIDIA GPU architectures, including Ampere, Hopper, Ada Lovelace, and Blackwell.
Serverless GPU Performance Analysis: Enables users to analyze GPU performance via RightNow AI’s cloud servers, eliminating the need for local GPU hardware.
Prompt-based Code Generation: Allows users to generate high-performance CUDA kernels using simple natural language prompts, with no need for in-depth GPU programming expertise.

Official Website

Website: rightnowai.co

Use Cases for RightNow AI

Accelerating Model Training: Machine learning teams can quickly optimize data preprocessing kernels using RightNow AI, significantly improving training efficiency.
Complex Simulation Optimization: In high-performance computing fields such as fluid dynamics and physical simulations, RightNow AI can optimize compute-intensive kernels to boost simulation efficiency.
Large-scale Scientific Computing: Universities and research institutions can leverage RightNow AI to rapidly optimize complex CUDA code, accelerating the pace of scientific research.
Fintech: Fintech companies can use RightNow AI to optimize GPU code for risk assessment models, improving real-time processing capabilities and meeting the demands of high-frequency trading.