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Faster and Greener - Microway NVIDIA® Tesla™ S1070 Powered High Density Clusters
Supercharge your next cluster with Tesla GPUs
Microway's Tesla Preconfigured Clusters deliver supercomputing performance at a lower power, lower cost, and using many fewer systems than standard CPU-only clusters. These clusters are powered by the NVIDIA Tesla S1070 computing system, a four-teraflop 1U system that has the Tesla T10 GPUs based on the CUDA massively parallel architecture. With 4 GB of memory per GPU, support for IEEE 754 single & double floating point precision, and a fast 102 GB/sec GDDR3 interface to the memory, the S1070 1U speeds the transition to energy-efficient parallel computing and scales to solve the world's most important computing challenges more quickly and accurately. Successfully deployed in demanding applications at research institutes, universities, and enterprises - it powers the 29th most powerful supercomputer worldwide.
Installed Software
The Microway Tesla preconfigured cluster comes with preinstalled with:
- Linux distribution of your choice, including Red Hat, SUSE, Fedora and Ubuntu
- CUDA Toolkit and SDK
- Microway Cluster Management Software (MCMS) integrates with optional MPI Link-Checker™ Fabric Validation Suite and InfiniScope™ Real-Time Network Diagnostics.
CUDA Applications
The CUDA-based Tesla GPUs give speedups of up to 250x on applications ranging from MATLAB to computational fluid dynamics, molecular dynamics, quantum chemistry, imaging, signal processing, bio-informatics. Click here to learn more about these speedups with links to application downloads.
GPU Software Development Tools
Click here to find out more about the C-based software development tools and various libraries for GPUs.
Microway 9U Compact GPU Cluster with OctoPuter™
Achieve high GPU/CPU ratio with OctoPuter-Tesla 4U System
Two OctoPuter-Teslas per compact rack, each with:
- 8 NVIDIA Tesla C1060 GPUs—8 TFLOPS
- 2 Quad-Core Intel® Xeon Nehalem CPUs
Applications: complex modeling, simulations and analysis.
Microway Tesla Cluster Specifications
Microway CUDA Cluster
Up to 48 TFLOPs performance in 24U
| Configurations |
8 Tesla S1070 NumberSmasher Cluster
with 2 GPUs per Server |
8 Tesla S1070 NumberSmasher Cluster
with 4 GPUs per Server |
16 Tesla C1060 Compact GPU Cluster
with 8 GPUs per Server |
| GPUs |
32 Tesla T10 GPUs |
16 Tesla T10 GPUs |
| CPU Compute Nodes |
16 Dual Quad-Core Xeon Compute
Nodes with up to 96GB Memory |
8 Dual Quad-Core Xeon Compute
Nodes with up to 144GB Memory |
2 Dual Quad-Core Xeon Compute
Nodes with up to 144GB Memory |
| Master Node |
Dual Quad-Core Xeon Server with up to 144GB Memory,
Optional GeForce/Quadro Graphics and RAID |
N/A |
| Memory |
128 GB GPU memory
Up to 1536 GB CPU memory |
128 GB GPU memory
Up to 1152 GB CPU memory |
64 GB GPU memory
Up to 288 GB CPU memory |
| Storage |
Head Node: up to 64TB
Compute Nodes: up to 48 TB |
Head Node: up to 64TB
Compute Nodes: up to 32 TB |
Compute Nodes: up to 2TB each |
| Network |
Optional ConnectX DDR or QDR InfiniBand Interconnect
Gigabit or 10G Ethernet |
Gigabit Ethernet |
| Cabinet and Cooling |
Microway CoolRack Cabinet includes:
535-850CFM fans for superior cooling of high-density clusters |
Microway 9U Compact Cabinet |
| Green Features |
High-efficiency (Gold-Level) Power Supplies
Cooling Paradigms Designed to Reduce Power Consumption
Optional Low-Power Intel or AMD Processors
Integrated Software Reduces Power Consumption on Idle Cores |
High-efficiency Power Supplies
Cooling Designed to Reduce Consumption
Optional Low-Power Intel Processors
Software Reduces Idle Core Consumption |
More Options
Please contact our Technical Sales Department to learn more about customizing Microway's GPU Compute Clusters to your needs. Also, don't forget to ask about our special cluster configuration to enter the Top 500 Supercomputing List.
sales@microway.com
Phone: 508-746-7341
Request a Quote
See also: http://www.microway.com/tesla/
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