先進運算解決方案提供產業首屈一指的高效能運算技術。Built on FPGA technologies and targeted at PCI Express® (PCIe®)-based HPC or stand-alone embedded applications, our modular and highly scalable architecture delivers orders-of-magnitude performance gains, reduced energy costs, small form factors and simplified application designs.
To turn todays’ data deluge into insight and competitive advantage we need computing systems with amazing speed and energy-efficiency. A powerful technique to achieve this is to offload compute-intensive workloads onto accelerators – special-purpose devices engineered to perform specialized tasks much more rapidly than general-purpose computing systems.
Micron’s compact and highly-scalable FPGA-based accelerator solutions deliver remarkable performance and offer simple application integration for a wide range of advanced algorithms.
Deep Learning uses neural networks to perform tasks such as machine vision, voice recognition and natural language processing. Trained models are often deployed across many devices such as cellphones to derive insight from new data – a process called inference.
Micron’s Deep Learning Accelerators enable inference tasks to be carried out much more rapidly, using much less energy, than general-purpose computers.
Developers can easily harness our technology explore and deploy Deep Learning models using a wide range of popular open source frameworks to solve previously-intractable data analytics problems from the edge to the cloud.
Our modular and massively scalable architecture, built upon advanced memory and field-programmable gate array (FPGA) technologies, brings industryleading performance, high-compute density, energy efficiency and simplified application design to a whole new level.
As part of our focus on streamlining and speeding the design of FPGA-based HPC systems, Micron Advanced Computing Solutions support the OpenCL standard, a parallel programming framework that compiles C-like code to a variety of computing and processing platforms, including FPGAs.