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GPUs powered by the massively parallel CUDA architecture
Delivers cluster performance at 1/20th the power and 1/10th the cost of CPU-only systems based on the latest quad core CPUs.
CUDA programming environment with broad support of programming languages and APIs, including C, C++, OpenCL, DirectCompute, or Fortran
IEEE 754 single and double Precision floating point units
Delivers up to 2.5 Teraflops of double precision performance in 1U form factor for faster and more accurate results.
ECC Support
Meets a critical requirement for datacenters and supercomputing centers deploying GPUs on a large scale with uncompromised computing accuracy and reliability.
NVIDIA® Parallel DataCache™
Accelerates algorithms such as physics solvers, ray-tracing, and sparse matrix multiplication where data addresses are not known beforehand.
NVIDIA® GigaThread™ Engine
Maximizes the throughput by faster context switching, concurrent kernel execution, and improved thread block scheduling.
Asynchronous Transfer
Turbocharges system performance by executing data transfers, even when the computing cores are busy.
System Monitoring
Simplifies management and monitoring post-installation. Remote capabilities as well as status lights on the front and rear of the unit ensures IT staff can see the status whether they are on the either side of the rack.

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