GSI Technology Teams Up with UC Riverside to Supercharge AI and High Performance Computing with Gemini APU
The Gemini APU’s compute-in-memory design offers an optimal remedy for the “AI bottleneck” dataflow issue, significantly increasing both performance and memory capacity for a host of cutting-edge applications.
- The Gemini APU’s compute-in-memory design offers an optimal remedy for the “AI bottleneck” dataflow issue, significantly increasing both performance and memory capacity for a host of cutting-edge applications.
- The architecture inherently boasts substantial memory bandwidth making it ideally poised to elevate performance and memory capacity for AI and High Performance Computing.
- In Professor Sadredini, GSI Technology now has yet another amazing researcher at a top-tier university who is doing important work with the Gemini APU.
- “I’m extremely excited to collaborate with GSI Technology as we work to bridge the gap between theoretical and practical application and innovations,” said Sadredini.