Ports & interfaces
| Interface type |
PCI Express x16 |
Memory
| Discrete graphics adapter memory |
4 GB |
| Graphics adapter memory type |
GDDR3 |
| Memory bus |
512 bit |
| Bandwidth |
102 GHz |
| Memory clock speed |
800 MHz |
Processor
| Graphics processor family |
NVIDIA |
| Processor frequency |
1300 MHz |
| Stream processors |
240 |
| CUDA |
Y |
Performance
| TV tuner integrated |
N |
| PhysX |
N |
Power
| Minimum system power supply |
187.8 W |
Additionally
| Graphics controller |
Tesla C1060 |
C1060 - 4 GB 512-bit GDDR3, 800 MHz, PCI E x16, CUDA
NVIDIA® TeslaTM C1060 Computing Processor enables the transition to energy efficient parallel computing power by bringing the performance of a small cluster to a workstation.
The NVIDIA® TeslaTM C1060 transforms a workstation into a high-performance computing machine that outperforms a small cluster. This gives technical professionals a dedicated computing resource at their desk-side that is much faster and more energy-efficient than a shared cluster in the data center. The Tesla C1060 is based on the massively parallel, many-core Tesla processor, which is coupled with the standard CUDA C programming environment to simplify many-core programming.
Feeding the HPC Industry’s Relentless Demand for Performance.
Keeps pace with the increasing demands of the toughest computing challenges including drug research, oil and gas exploration and computational finance.
Many-core Architecture Delivers Optimum Scaling across HPC Applications.
Tesla many core architecture meets the computational demands of applications whose complexity has outstripped the CPU’s ability to solve them.
High Efficiency Computing Platform for Energy-conscious Organizations.
Higher performance and density computing for solving complex problems with fewer resources and power.
NVIDIA CUDA™ Technology Unlocks the Power of Tesla Many-core Computing Products.
The only C language environment that unlocks the many core processing power of GPUs to solve the world’s most computationally-intensive challenges.
