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  • CUDA / Tesla Supercomputing NewsletterCUDA / Tesla Supercomputing Newsletter
    Subscribe to the CUDA / Tesla Supercomputing Newsletter to receive regular updates about NVIDIA’s general purpose parallel computing architecture – how to leverage the GPU to solve many complex computational problems in a fraction of the time required on a CPU.

  • Webinars
    Learn more about GPU computing and CUDA-enabled applications through these webinars


  • All-in-one GPU Programming solution

TURNKEY GPU CLUSTERS READY-TO-USE SOLUTIONS FOR SCIENCE AND RESEARCH
 

Access the power of GPU computing with off-the-shelf, ready to deploy TESLA GPU SimCluster.

These preconfigured solutions from NVIDIA provide a powerful tool for researchers and scientists to advance their science through faster simulations. SimCluster is the easiest way to start using GPUs that offer supercomputing scale HPC performance at substantially lower costs and power. Experience a significant performance increase in a wide range of applications from various scientific domains. Supercharge your research with TESLA GPU SimCluster today!

8-flops

GPU: 8 Tesla M2075 GPU
CPU: 4 Intel E5620 2.4 (4-core)
Memory: 24 GB per node
Power: 3.5KW
Network:10Gbe
Form-factor: 14U rack
£26,990

20-flops

GPU: 16 Tesla M2090 GPU
CPU: 8 Intel E5620 2.4 (4-core)
Memory: 48 GB per node
Power: 6.4KW
Network:10Gbe
Form-factor: 14U rack
£52,990

42-flops

GPU: 32 Tesla M2090 GPU
CPU: 16 Intel E5670 2.93
(6-core)
Memory: 48 GB per node
Power: 12.1KW
Network: QDR Infiniband
Form-factor: 42U rack
£112,999

Available from these resellers
(please choose one)
viglen boston Amari
Free cluster access for researchers: GENCI Curie cluster
Free cluster access for researchers:
GENCI Curie cluster
Molecular Dynamics SymCluster test drive
Molecular Dynamics SymCluster
test drive