Mojo vs. CUDA vs. Python vs. Shadowrocket Comparison Chart

CUDA® is a parallel computing platform and programming model developed by NVIDIA for general computing on graphical processing units (GPUs). With CUDA, developers are able to dramatically speed up computing applications by harnessing the power of GPUs. In GPU-accelerated applications, the sequential part of the workload runs on the CPU – which is optimized for single-threaded performance – while the compute intensive portion of the application runs on thousands of GPU cores in parallel. When using CUDA, developers program in popular languages such as C, C++, Fortran, Python and MATLAB and express parallelism through extensions in the form of a few basic keywords. The CUDA Toolkit from NVIDIA provides everything you need to develop GPU-accelerated applications. The CUDA Toolkit includes GPU-accelerated libraries, a compiler, development tools and the CUDA runtime.

Shadowrocket is a rule-based proxy utility that captures all HTTP, HTTPS, DNS, and TCP traffic from any app and redirects it to a proxy server, then records and displays each request for detailed inspection. Users define rules by domain match, suffix, keyword, CIDR IP range, or GeoIP lookup, import configurations via URL or iCloud Drive, and measure usage and speed across Wi-Fi, cellular, direct, and proxy connections. It also blocks ads by domain or user-agent rules, supports local DNS mapping, decrypts HTTPS traffic, rewrites URLs, and fully supports IPv6. Advanced script filters, multi-level forward proxying, and compatibility with kcptun, cloak, gost, and v2ray plugins extend its flexibility, while DNS-over-HTTPS, DNS-over-TLS, and DNS-over-QUIC ensure secure name resolution. Shadowrocket runs seamlessly on cellular networks and integrates SSH tunneling with UDP gateway support, making it a powerful tool for monitoring, filtering, and optimizing network traffic.