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ServMax™ PSC High Performance GPU Workstations are fully optimized for the latest GPU computing modules and deliver 20X higher application performance than the latest multi-core CPU systems, providing unprecedented real-world scalability and breakthrough power-efficiency across a wide array of HPC applications. These highly configurable systems' unparalleled performance enable seamless integration of GPU computing for extreme performance, helping scientists and engineers solve the world's most complex computational problems.
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PSC - 6p

PSC - 6s

PSC - 4s
# of GPUs
4x Tesla K40/K20/K20X with Passive Heatsink
Theoretical Peak Performance
17.16 Teraflops (SP)
5.72 Teraflops (DP)
# of GPUs
4x Tesla K40/K20 with Active Heatsink
Theoretical Peak Performance
17.16 Teraflops (SP)
5.72 Teraflops (DP)
# of GPUs
3x Tesla K40/K20 with Active Heatsink
Theoretical Peak Performance
12.87 Teraflops (SP)
4.29 Teraflops (DP)
[ POWERFUL. ]
ServMax™ GPU powered workstations are capable of providing up to 15.8 Teraflops of single precision and 5.28 Teraflops of double precision performance. They literally deliver supercomputer -level performance right at your desk! ServMax™ GPU workstations offer incredible amounts of computational power and is perfect for the developer gateway to GPU computing. That is powerful.
[ FLEXIBLE. ]
K10 GPUs? Check. K20 GPUs? Check. K20X GPUs? Check. Choose your GPU, choose your CPU, memory, storage, etc - we're flexible! ServMax™ GPU workstations are designed to allow you to build your application dev environment with a custom rig and are perfect for proof-of-concept work. That is flexible.
[ OPEN. ]
All the power and scalability in the world is worth so much more when you're able to work within an open architecture computing environment. Being open means that we design and customize a solution to meet exact project requirements using the newest, highest performing components the industry has to offer. It also means easier maintenance and lower total cost of ownership (TCO). That is open.


Powered by the massively parallel CUDA architecture, this workstation performs like a small cluster at 1/20th the power consumption and 1/10th the cost


Offers protection of data in memory to enhance data integrity and reliability for applications. Register files, L1/L2 caches, shared memory, and DRAM all are ECC protected


Versatile CUDA programming environment with broad support of programming languages and APIs, including C, C++, OpenCL, DirectCompute, or Fortran


NVIDIAŽ Parallel DataCacheT Technology accelerates algorithms such as physics solvers, ray-tracing, and sparse matrix multiplication where data addresses are not known beforehand.
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