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Buy solutions from transtec — Nvidia Tesla Preferred Provider™ (TPP)

Your benefits:
  • All high-performance systems are developed and certified in cooperation with Nvidia
  • You only receive special pricings and offers for research, training and developers from Nvidia Tesla Preferred Providers
  • Nvidia Tesla Preferred Providers receive regular training and special support from Nvidia and can thus guarantee better consultation and develop and offer systems that are customised to customer needs.
  • Tesla Preferred Providers and customers of Tesla Preferred Providers receive special services in the event of a warranty (Advanced Warranty Replacement - AWR).
  • Access to CUDA trainings and tools
 hardware Hardware >>
CUDA Applications >>
software Installed Software >>
GPU Software >>

Two Tesla preconfigured clusters are available and can be customised to your needs:


The transtec Tesla preconfigured clusters deliver super-computing performance of the highest level. With 4 or 8 Nvidia Tesla S1070 systems, a computing performance of 16 or 32 Teraflops accordingly can be reached. Even complex and ever-increasing application requirements in the fields of molecular research, seismic investigations or finance analyses can be met.

In addition, the transtec preconfigured clusters and energy efficient and space-saving and deliver up to 30 times more performance than similar CPU clusters – this exceeds all the expectations in terms of energy-efficient computing.
Hardware hardware
Installed Software

  • SUSE Linux Enterprise Server 11 or RedHat 5
  • CUDA 2.3 Toolkit and SDK
  • Cluster Management Software: MOAB Cluster Suite, xCat Deployment Tool or on request.
CUDA™ Applications

The Compute Unified Device Architecture (CUDA) is a standard programming interface for highly optimised codes. Numerous applications from the fields of flow simulation, molecular dynamics, quantum chemistry, image processing, signal processing or bioinformatics profit from the 250 times boost in performance.

>> Click here, to find out which applications have already been accelerated with the help of the parallel CUDA calculation architecture from NVIDIA Tesla graphics processors.

>> Click here, to find out more about this acceleration. We provide links and downloads here.
GPU Software Development Tools

>> Click here, to find out more about the C-based software development tools as well as various libraries for GPUs.
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