Rapidly-growing AI system capabilities are driving new product architectures that demand increased speeds, bandwidths, frequencies and densities. Scalability and configurability are a must. In embedded applications, many AI systems leverage the ease of design and economies of scale of systems-on-modules (SoMs). System-on-modules are an example of make or buy system design. A SoM includes the system compute engine (MCU, FPGA, GPU, etc.) as well as general support circuitry like DRAM, power and … [Read more...]
GPU Scalable Array Server Features SEARAY™
A number of embedded applications leverage the brute-force serial processing of x86 CPUs. Higher speed CPUs lead to higher performance embedded computers. This model works in general computing applications, but parallel computing solutions offer another option for high efficiency and performance. Graphics Processing Units (GPUs) differ from CPUs in basic architecture. GPUs contains a larger number of smaller and efficient cores designed for parallel processing. GPUs … [Read more...]