In this video from GTC 2017, Rodolfo Campos from Supermicro describes the company’s innovative solutions for GPU-accelerated computing.
“Leveraging our extensive portfolio of GPU solutions, customers can massively scale their compute clusters to accelerate their most demanding deep learning, scientific and hyperscale workloads with fastest time-to-results, while achieving maximum performance per watt, per square foot, and per dollar,” said Charles Liang, President and CEO of Supermicro. “With our latest innovations in performance and density optimized 1U and 4U architectures that incorporate the new NVIDIA P100 processors with NVLink, our customers can achieve exponential improvements in deep learning application performance improvements, to address some of the world’s most complex and important challenges, while also saving money.”
NVIDIA’s GPU computing platform provides a dramatic boost in application throughput for HPC, advanced analytics and AI workloads,” said Paresh Kharya, Tesla Product Management Lead at NVIDIA. With our Tesla data center GPUs, Supermicro’s new high-density servers offer customers high performance and superior efficiency to address their most demanding computing challenges.”
Optimized applications for Supermicro GPU supercomputing systems include Machine Learning, Artificial Intelligence, HPC, Cloud and Virtualized graphics, and Hyperscale Workloads. Supermicro had on display the SYS-1028GQ-TXRT and SYS-4028GR-TXRT with support for four and eight NVIDIA Tesla P100 SXM 2.0 modules, respectively, both featuring NVIDIA NVLink interconnect technology. Supermicro also displayed its multi-node GPU solutions and high-performance workstations with support for 4 PCIe 3.0 x16 slots.
