👉 T Computing, or T Computing Architecture, is an innovative computing paradigm that aims to address the limitations of traditional computing by integrating heterogeneous computing resources, including CPUs, GPUs, FPGAs, and specialized accelerators, into a unified system. This architecture leverages the strengths of each component type to optimize performance and efficiency for diverse computational tasks, from general-purpose processing to specialized machine learning and data-intensive applications. By dynamically allocating workloads across these varied resources, T Computing enables more efficient and scalable solutions, particularly in environments requiring high parallelism and low latency. It also emphasizes software flexibility, allowing developers to write applications that can seamlessly utilize the full spectrum of available hardware capabilities, thus enhancing overall system performance and energy efficiency.
