Overview
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™ C1060 Computing Processors, offering massive parallel processing capabilities to speed calculations and solve problems impossible with current computing approaches. Powered by 960 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.
Accelerate your research outcomes with ready-to-go Colfax CXT3000N Personal Supercomputer now.
Click here to configure and price Colfax CXT3000N PSC
Features
High-Performance Computing
- 4 GPU configuration with up to 4 Tesla C1060 Computing Processors
- 4GB 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 102 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
Benefits
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. Four 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
240 parallel processor cores per GPU that can execute thousands of concurrent threads.
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.
Images
Expertly Engineered with Uncluttered Interiors
User Friendly Design
Cool and Quiet
Convenient I/O Ports
Resources
Colfax CXT3000N PSC Datasheet
Click here to download the CXT3000N datasheet PDF
Tesla C1060 Computing Processor
Click here to download the C1060 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