Austin, TX-based RenderStream announced this week that they’ve upgraded their line of GPU-based workstations to include the new Visual and Data Analysis Cluster, which is fairly bristling with GPU goodness
At RenderStream we are providing solutions with two to eight GPU’s, and we just introduced a sixteen GPU development system (Linux only). Our solutions are made using Nvidia Geforce, Quadro and Tesla cards. For even more speed we announced at the March 2010 ACM Siggraph meeting in Austin our VDACTr8 with eight single GPU cards and VDACTr8×2 solution using eight dual GPU GTX295 cards.
This latter system with each card having access to PCI-e 2.0 X16 lanes provides 10 to a theoretical 14.2 TFLOPs of single precision compute power. This system is ideal for speed and heterogeneous GPU-MPU computing environments where memory on the GPU card is not important.
If graphics memory and mission criticality dominate, we offer VDACTr8 with eight Tesla or Quadro cards as the application demands or a VDACTr8×4 Cluster using the VDACTr8 server and four Tesla S1070 or Quadro® Plex 2200 S4. The type of card or card-mix chosen depends on the application. For advanced visualization, augmented reality and immersive environments choose Quadro and Tesla. For instance with eight FX5800 cards on a single computer the VDACTr8 offers the most powerful single computer solution for powering eight HD projectors that are used for building advanced immersive training CAVES. But using eight Tesla C1060, the new C2050 or C2070 this becomes the most powerful 8U HPC compute node on the planet.
More information about launch and the rationale behind the design in RenderStream’s post.
