What is RightNow AI 'V2.0'?
Automatically profile, detect bottlenecks, and optimize your CUDA kernels for peak performance.
Problem
CUDA engineers manually profile and optimize kernels using traditional tools, which is time-consuming and prone to missing performance bottlenecks.
Solution
A CUDA optimization tool that automates profiling, detects bottlenecks, and suggests code optimizations, enabling engineers to focus on core development.
Customers
CUDA engineers and developers working on GPU-accelerated applications, high-performance computing, or AI/ML model optimization.
Unique Features
Automated bottleneck detection with AI-driven optimization recommendations tailored for CUDA kernels, reducing manual trial-and-error debugging.
Traction
No explicit quantitative traction data (e.g., MRR, user count) provided in the input; further research required.
Market Size
The global GPU market, critical for CUDA-driven applications, is projected to reach $200 billion by 2028 (Fortune Business Insights).
