NVIDIA has recently introduced the Tesla P100 GPU accelerator for PCIe servers.
Aimed to deliver massive leaps in performance and value, NVIDIA says the demand for supercomputing cycles is higher than ever.
According to the company, high performance computing (HPC) technologies are increasingly required to power computationally intensive deep learning applications, while researches are applying AI techniques to drive advances.
The company claims that the Tesla P100 GPU accelerator for PCIe is on point to meet the computational demands through unmatched performance and efficiency.
The product is also optimized to power the most computationally intensive AI and HPC data center applications.
According to NVIDIA, key features of the Tesla P100 for PCIe include:
Ian Buck, vice president of accelerated computing at NVIDIA, says accelerated computing is the only path forward to keep up with the insatiable demand for HPC and AI supercomputing.
"Deploying CPU-only systems to meet this demand would require large numbers of commodity compute nodes, leading to substantially increased costs without proportional performance gains,” says Buck.
“Dramatically scaling performance with fewer, more powerful Tesla P100-powered nodes puts more dollars into computing instead of vast infrastructure overhead."