NVIDIA Tesla (Kepler-based)
NVIDIA Tesla K20X
NVIDIA Tesla K20
(Active Cooling)
NVIDIA Tesla K20
(Passive Cooling)
NVIDIA Tesla K10
(Standard Airflow)
NVIDIA Tesla K10
(Reverse Airflow)
NVIDIA Tesla for Servers
NVIDIA Tesla M2090
NVIDIA Tesla M2075
NVIDIA Tesla M2070
NVIDIA Tesla M2050
NVIDIA Tesla for Workstations
NVIDIA Tesla C2075
NVIDIA Tesla C2070
NVIDIA Tesla C2050
SabrePC GPU Towers
2x Tesla K20X Tower
2x Tesla K20 Tower
SabrePC GPU Servers
1U Tesla K20 Server (4 GPU)
2U Tesla K20 Server (4 GPU)
4U Tesla K20 Server (8 GPU)
CPU/GPU Customized Solutions

NVIDIA Tesla Kepler GPU Development System

Designed for HPC Performance and Reliability

What are GPU Development Systems?

Does your work involve creating or visualizing data or images? Do you handle scientific and engineering applications? SabrePC custom development system solutions incorporate high-performance GPUs (Graphics Processing Unit) together with CPUs to provide GPU acceleration for over 100+ applications. Rather it is Adobe Suite or Fortran, we have the perfect configurations for all your graphic or computation intensive applications.
The GPU Advantage:

Combination of CPU + GPU

GPU computing offers unprecedented application performance by offloading compute-intensive portions of the application to the GPU, while the remainder of the code still runs on the CPU. From a user's perspective, applications simply run significantly faster. CPU + GPU is a powerful combination because CPUs consist of a few cores optimized for serial processing, while GPUs consist of thousands of smaller, more efficient cores designed for parallel performance. Serial portions of the code run on the CPU while parallel portions run on the GPU.
GPU + CPU ComputingTesla K20 SMX

Dynamic Parallelism: Simplifying Parallel Programming

Dynamic Parallelism allows the GPU to operate more autonomously from the CPU by generating new work for itself at runtime, from inside a kernel. The concept is simple, but the impact is powerful: it can make programming easier, particularly for algorithms traditionally considered difficult such as divide-and-conquer problems.
SabrePC Custom GPU Development Solutions:
BasicSimulation/
Computational Rendering
Pre-Configured Specifications Applications  
Tesla K20 Development System
Up to 1x Tesla K20 Active
- Core i7-3820 3.6GHz
- 1 x Tesla K20 GPU (2496 CUDA Cores)
- 8 GB GDDR3 RAM
- 208 GBytes/sec Memory bandwidth
- 1.17 TFLOP Peak Double Precision
> CFD, CAE
> CAE (structural analysis)
> Molecular dynamics
> Financial Computing
> Computational Chemistry
K20 Active Product Page
 
Basic 3D Rendering
Pre-Configured Specifications Applications  
Tesla Quadro K5000 Development System
Up to 1x Quadro K5000
- Core i7-3820 3.6 GHz
- 1 x Quadro K5000 (1536 CUDA Cores)
- 8 GB GDDR3 RAM
- Shader Model 5/ OpenGL 4.3
> AutoCAD
> Autodesk
> Adobe Suite CS6
> Animation and Modeling
> Photo Editing and Effects
K20 Passive Product Page