Faster and Greener - Microway NVIDIA® Tesla™ Powered High Density Clusters Supercharge your next cluster with Tesla GPUs
Tesla Fermi GPU Orders
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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 NVIDIA Tesla S1070/S2050, 1U systems that have the Tesla T10/T20 GPUs based on the CUDA massively parallel architecture. With up to 3 GB of memory per GPU, support for IEEE 754 single & double floating point precision, and a fast GDDR3 or GDDR5 interface to the memory, the S1070/S2050 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 some of the most powerful supercomputers 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
a href="http://www.nvidia.com/object/tesla_software.html">Click here to find out more about the C-based software development tools and various libraries for GPUs.
NVIDIA S2050 GPU Compute System
Add GPU compute capability to your existing HPC infrastructure
Each Tesla 1U GPU Compute System Provides
Four Tesla Fermi T20 GPUs in a 1U chassis
Total of 2.06 TFLOPS double precision and 4.12 TFLOPS single precision GPU performance
Total of 12GB GDDR5 GPU memory (3GB per GPU) with ECC function
Connection to existing host server(s) with 2x PCI-E x16 2.0 host adapters (optional x8 with reduced performance)
Microway OctoPuter™ with 8 Tesla GPUs
Achieve high GPU/CPU ratio with OctoPuter-Tesla 4U System
Each OctoPuter has:
8 NVIDIA Tesla GPUs—Over 8 TFLOPS
2 Quad- or Six-Core Intel® Xeon Nehalem/Westmere CPUs
Up to 144GB DDR3 memory
Applications: complex modeling, simulations and analysis.
Microway BioStack™ — Scalable Personal Cluster
Implement Tesla Fermi GPUs for supercomputer performance: 192 CPU Cores and 5376 GPU cores in 9U
Each BioStack has:
Total of 1.4 TFLOPS double precision CPU and 6 TFLOPS double precision GPU performance (12+TFLOPS single)
Navion 4-way Opteron SMP Master Node with Storage: 48 CPU cores and 6TB of storage
Six GPU Compute Nodes: each with 2 Tesla Fermi C2050 448 core GPUs and 24 CPU cores
Microway 24 port DDR FasTree™ InfiniBand switch
Compact 9U Cabinet for excellent scalability
Available NVIDIA Bio Workbench Applications including: ACE MD, AMBER, BigDFT, GROMACS, GROMOS, HOOMD, LAMMPS, NAMD, TeraChem (QC), VMD, CUDA-BLASTP, CUDA-EC, CUDA-MEME, CUDASW++, GPU-HMMER, and MUMmerGPU
Sample Microway Tesla Cluster Specifications
Configurations
8 Tesla S1070/S2050 NumberSmasher Cluster with 2 GPUs per Server
8 Tesla S1070/S2050 NumberSmasher Cluster with 4 GPUs per Server
9U Compact OctoPuter GPU Cluster with 8 GPUs per Server
Microway BioStack 9U Scalable Personal Cluster
GPUs
32 Tesla T10/T20 GPUs
16 Tesla T10/T20 GPUs (8 Teslas per 4U OctoPuter)
12 Tesla T20 GPUs (2 Teslas per 1U GPU Node)
CPU Compute Nodes
16 Dual Xeon Compute Nodes with up to 96GB Memory
8 Dual Xeon Compute Nodes with up to 144GB Memory
2 Dual Xeon Compute Nodes with up to 144GB Memory
6 Dual Opteron Compute Nodes with up to 128GB Memory
Master Node
Dual Xeon Server with up to 144GB Memory, Optional GeForce/Quadro Graphics and RAID
N/A
1 Quad Opteron Compute Node with up to 512GB Memory
Memory
Up to 192 GB GPU memory Up to 1536 GB CPU memory
192 GB GPU memory Up to 1152 GB CPU memory
96 GB GPU memory Up to 288 GB CPU memory
72 GB GPU memory Up to 1280 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
Head Node: up to 6TB Compute Nodes: up to 6TB each
Network
Optional ConnectX DDR or QDR InfiniBand Interconnect Gigabit or 10G Ethernet
Gigabit Ethernet
ConnectX DDR (optional QDR) InfiniBand Interconnect included Gigabit Ethernet
Cabinet and Cooling
Microway CoolRack Cabinet includes: 535-850CFM fans for superior cooling of high-density clusters
Microway 9U Compact Cabinet
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
High-efficiency (Gold-Level) Power Supplies Cooling Paradigms Designed to Reduce Power Consumption Optional AMD Processors
Microway CUDA Cluster Up to 48 TFLOPs performance in 24U
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.