Delivering best-in-class features including maximum GPU density, next-generation NVLink support and global service and support, Supermicro's expansive portfolio of GPU systems gives customers the unique ability to match their workload and datacenter requirements to the most optimal system configuration
For maximum acceleration of highly parallel applications like artificial intelligence (AI), deep learning, autonomous vehicle systems, energy and engineering/science, Supermicro's new 4U system with next-generation NVIDIA NVLink™ is optimized for overall performance. The SuperServer 4028GR-TXRT supports eight NVIDIA Tesla V100 SXM2 GPU accelerators with maximum GPU-to-GPU bandwidth for important HPC clusters and hyper-scale workloads. Incorporating the latest NVIDIA NVLink GPU interconnect technology with over five times the bandwidth of PCI-E 3.0, this system features an independent GPU and CPU thermal zoning design, which ensures uncompromised performance and stability under the most demanding workloads.
Similarly, the performance optimized 4U SuperServer 4028GR-TRT2 system can support up to 10 PCI-E Tesla V100 accelerators with Supermicro's innovative and GPU optimized single root complex PCI-E design, which dramatically improves GPU peer-to-peer communication performance. For even greater density, the SuperServer 1028GQ-TRT supports up to four PCI-E Tesla V100 GPU accelerators in only 1U of rack space. Ideal for media, entertainment, medical imaging, and rendering applications, the powerful 7049GP-TRT workstation supports up to four NVIDIA Tesla V100 GPU accelerators.
"Supermicro designs the most application-optimized GPU systems and offers the widest selection of GPU-optimized servers and workstations in the industry," said
"Supermicro's new high-density servers are optimized to fully leverage the new NVIDIA Tesla V100 data center GPUs to provide enterprise and HPC customers with an entirely new level of computing efficiency," said
With the convergence of Big Data Analytics, the latest NVIDIA GPU architectures, and improved Machine Learning algorithms,
For comprehensive information on Supermicro NVIDIA GPU system product lines, please go to https://www.supermicro.com/products/nfo/gpu.cfm.
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