| Colfax CXT3000N Personal Supercomputer (PSC) | ||||||
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The Colfax CXT3000N PSC lets you own the computing power you need to process massive data-sets, speed calculations, and solve problems impossible with current computing approaches. Configurable with up to 4 NVIDIA® Tesla™ GPUs to deliver nearly 4 Teraflops of peak performance, the CXT3000N delivers cluster level computing performance — right at your desktop.
Relentless Demand For HPC Performance
The importance of performance and productivity in the technical workplace cannot be overstated. As datasets grow increasingly complex, the path to great discovery gets more and more computationally challenging. Today’s scientists, engineers, and other technical professionals need massive horsepower to crunch these complex datasets fast, efficiently, and accurately. Feeding this relentless demand for HPC performance are resource-prohibitive CPU-based clusters. What if supercomputing was easily accessible and affordable?
Supercomputer For Everyone
Introduction of Colfax CXT3000N PSC democratizes HPC by providing today’s professionals an affordable personal supercomputing resource on their desktop that is much faster and more energy-efficient than a shared cluster in the data center.
Supercomputing Performance Shrink Wrapped In-a-Box
The Colfax CXT3000N PSC leverages NVIDIA® Tesla™ C2050 / C1060 Computing Processors, offering massive parallel processing capabilities to speed calculations and solve problems impossible with current computing approaches. Powered by up to 1792 cores and nearly 4 Teraflops of peak performance, the CXT3000N delivers cluster level computing performance — up to 250 times faster than standard PCs and workstations — right at your desk.
NVIDIA CUDA™ Architecture Unlocks the Power Of GPU Parallel Computing
The CUDA parallel computing architecture enhances performance by offloading computationally-intensive activities from the CPU to the GPU — unlocking the many-core processing power of NVIDIA GPUs to solve the most complex computation-intensive challenges such as protein docking, molecular dynamics, financial analysis, fluid dynamics, structural analysis and many others.
High-Performance Computing
- 4 GPU configuration with up to 4 Tesla C2050 / C1060 Computing Processors
- 3GB GDDR5 or 4GB GDDR3 of dedicated memory per GPU
- Parallel shared memory enables processor cores to collaborate on shared information at local cache performance
- Ultra-fast GPU memory access with up to 148 GB/s peak bandwidth per GPU
- Quad-Core AMD Phenom™ processor
- Up to 16GB system memory
Expertly Engineered
- Plugs into a standard office power socket and quiet enough for use at your desk
- 2mm thick aluminum front panel with three 140mm blue LED fans in the front to intake cool air into the system
- 140mm blue LED fan mounted on the top, to expel hot air from the chassis
- 140mm fans feature low RPM with high air flow to get the best balance between silenc operation and cooling
- Chassis fitted with anti-vibration kit to lower noise
- Modularized HDD cages
- I/O ports are located on the top-front for easy access
- Removable top cover and motherboard tray
- Hair-Line brushed aluminum with anodized finishing
Your Own Supercomputer
Dedicated computing resource for every computational researcher and technical professional.
Cluster Performance on Your Desktop
The performance of a cluster in a desktop system. Up to 4 Tesla GPU computing processors deliver nearly 4 teraflops of performance.
Designed for Office Use
Plugs into a standard office power socket and quiet enough for use at your desk.
Massively Parallel Many Core GPU Architecture
Up to 448 parallel processor cores per GPU that can execute thousands of concurrent threads.
Up to 4GB High-Speed Memory per GPU
Dedicated compute memory enables larger datasets to be stored locally for each processor minimizing data movement around the system.
IEEE 754 Floating Point Precision (Single-Precision and Double-Precision)
Provides results that are consistent across platforms and meet industry standards.
64-bit ALUs for Double -Precision Math
Meets the precision requirements of your most demanding applications with 64-bit ALUs.
Technical Specifications
| Total Tesla C2050 / C1060 Computing Processors | • # of Tesla processors - 4 |
| CPU | • Supports 64-bit AMD® Phenom X4 / Phenom X3 processor (Socket AM2+) |
| Chipset | • NVIDIA® nForce 780a SLI |
| Video | • Integrated • NVIDIA® PureVideo® HD technology • Video Ports - DVI and D-Sub • Supports HDMI technology with HDCP compliant with max. resolution up to 1920 x 1200 • Supports D-Sub with max. resolution up to 1920 × 1440 @ 75 Hz |
| Memory | • Supports 4 240-pin DDR2 SDRAMs up to 16GB • Supports Dual Channel DDR2 800/1066 DDR2 SDRAM |
| LAN | • Dual Gigabit LAN by Broadcom® BCM5786 and BCM5788 |
| Expansion Slots | • Four PCI Express X16 Generation 2 slots • One PCI Express X1 slot • One 32-bit PCI slot |
| IEEE1394 | • 2 1394a connectors (rear panel x1, pin header x1) |
| SATA RAID | • 6 SATAII + 2 eSATA with RAID 0, 1, 10, 5, JBOD support |
| Chassis | • Case type - Super Full Tower • Front bezel material - Aluminum • Color - Black • Side panel - Hair-line brushed aluminum finishing • Body material - Aluminum • 5.25" drive bays (external) - 12 • 3.5" drive bays (external) - 0 • 3.5" drive bays (internal) - 6 ( using 6 x 5.25") • System fans (front) - 3 x 140mm LED fans @ 800-1200 RPM • System fan (top) - 1 x 140mm LED fan @ 800-1200 RPM • System fan (rear) - 1 x 120mm fan @ 1020-1500RPM • Top I/O Ports - USB 2.0 x 4; IEEE1394 x 1; E-SATA x 1; HD+AC97 Audio • Dimensions - 220 x 633 x 610 mm ( W, H, D) |
Expertly Engineered with Uncluttered Interiors
User Friendly Design
Cool and Quiet
Convenient I/O Ports
Colfax CXT3000N PSC Datasheet
Click here to download the CXT3000N datasheet PDF
NVIDIA CUDA™ NVIDIA CUDA™ technology is the world’s only C language environment that enables programmers and developers to write software to solve complex computational problems in a fraction of the time by tapping into the many-core parallel processing power of GPUs. With millions of CUDA-capable GPUs already deployed, thousands of software programmers are already using the free CUDA software tools to accelerate applications—from video and audio encoding to oil and gas exploration, product design, medical imaging, and scientific research. Click here to learn more
NVIDIA CUDA Development Tools NVIDIA’s CUDA development tools provide three key components to help you get started: the latest CUDA driver, a complete CUDA Toolkit, and CUDA SDK code samples. Click here to download CUDA driver and toolkit