NVIDIA MD SimCluster Test Drive Program
Benchmark AMBER, NAMD and more!
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Microway offers a benchmarking cluster for customers to test GPU enabled applications. The cluster includes:
Four Microway™ NumberSmasher 1U GPU Nodes
Two NVIDIA Tesla M2090 GPUs per node
Two Intel Xeon "Westmere" X5675 series CPUs in each node
QDR InfiniBand HCAs and switching
Over 20 TFLOPS Single and 10 TFLOPS Double Precision GPU performance
CentOS Linux with Bright Cluster Manager
Pre-configured GPU-enabled software packages, including AMBER and NAMD
Register with the form below. Alternate test configurations available upon request.
Learn more about the Tesla M2090 GPUs (PDF)
Microway's MD SimCluster Datasheet (PDF)
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2X in 4 Weeks, Guaranteed!
Accelerate your code with directives-based compilers. No GPU experience required.
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Why GPUs for AMBER and NAMD?
"With Tesla M2090 GPUs, AMBER users in university departments can obtain application performance that outstrips what is even possible with extensive supercomputing access."
-Ross Walker, Assistant Research Professor at San Diego Computer Center
Learn more about MD SimCluster Performance
Tesla GPU Accelerated Applications
NVIDIA® Tesla™ GPU Processors accelerate many common scientific codes. AMBER, NAMD and MATLAB are just a few of the applications enjoying significant speed-ups.
Try today on advanced, fully integrated hardware
Whether you are an AMBER or NAMD user or have in-house GPU-enabled applications, we are offering you remote benchmarking time on our latest hardware. This includes NVIDIA Tesla M2090s which are over 30% faster than previous Tesla GPUs.
See how fast your code can run
To log in and test your code, register below. After registration, you will receive an email with instructions.
For any questions, please email sales@microway.com.
Implement as fast as you are ready
If you are pleased with cluster performance and have immediate need, you can purchase the benchmarked hardware and have it ship inside of 72 hours.
If you require a longer process, we're happy to build an equivalent cluster or design a custom configuration to meet your needs.
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