Super Micro Computer (Supermicro) has launched second generation of lineup of GPU servers optimised for the new Nvidia Tesla 20-series GPUs.
The company said that the new lineup includes a 1U server, a 4U/tower that supports four Nvidia Tesla GPUs along with three additional PCI-e cards for high-bandwidth I/O, and a 2U Twin server that supports two hot-pluggable GPU nodes with redundant power.
According to Supermicro, the new GPU product line features both Intel Xeon 5600 Series (Westmere) processor as well as AMD Opteron 6100 Series (Socket G34) processors. These systems also feature remote monitoring and management capabilities. With multiple x16 non-blocking native PCI-Express 2.0 connectivity, 1400-watt Gold Level power supplies and thermal design, these parallel, multi-GPU systems have been optimised for various graphics and computationally intensive applications.
The company said that 6016GT-TF-FM205 Tesla-based server provides high compute density and serves as a uniform building block for large-scale datacentre deployments. It supports dual Intel Xeon 5600 series processors and features two Nvidia Tesla M2050 GPUs via two Gen2 PCI-Express x16 connections. It is housed in the SC747TQ-R1400, Supermicro’s new 4U rackmount convertible tower chassis.
The company said that the new chassis supports up to 11 full-height, full-length expansion cards, eight hot-swappable 3.5 inches SAS/SATA drives, and special design features that bolster graphics and computationally intensive applications. Each computing node features onboard QDR InfiniBand for 40Gb/s high-bandwidth connectivity and supports six hot-swap 3.5 inches SATA drives.
Charles Liang, CEO and president of Supermicro, said: To meet our customers’ strong demand, we have made the world’s fastest servers even faster by optimising our HPC product line to support the latest Tesla 20-series GPUs.
Our dual-GPU 1U SuperServer now delivers up to 1 TeraFLOPS double-precision performance, making it suitable for a far wider range of high-performance computing applications where more complex data calculations can be performed faster.
