TRUNG TÂM MÁY CHỦ
GIẢI PHÁP MÁY CHỦ CHUYÊN NGHIỆP
Tel: +84-8-3500 3363 | Mail : sales@trungtammaychu.vn
Phone, Zalo : 0988801591 Skype : maychuxen
Tel: +84-8-3500 3363 | Mail : sales@trungtammaychu.vn
Phone, Zalo : 0988801591 Skype : maychuxen
sales@trungtammaychu.vn
sales@trungtammaychu.vn
The NVIDIA® Tesla™ C1060 transforms a workstation into a high-performance computer 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.
| Product | Tesla C1060 |
| Form Factor | 10.5" x 4.376", Dual Slot |
| # of Tesla GPUs | 1 |
| # of Streaming Processor Cores | 240 |
| Frequency of processor cores | 1.3 Ghz |
| Floating Point Precision | IEEE 754 single & double precision floating point |
| Total Dedicated Memory | 4 GB |
| Memory speed | 800 MHz |
| Memory Interface | 512-bit GDDR3 |
| Memory Bandwidth | 102 GB/sec |
| Max Power Consumption | 225 W peak, 160 W typical |
| System Interface | PCI Express x16 Generation 2 |
| Auxiliary Power Connectors | 6-pin & 8-pin (can be used with two 6-pins) |
| Thermal Solution | Active fan sink |
| Programming environment | C(CUDA) |
Features and Benefits
| Features | Benefits |
| Massively-Parallel Many Core Architecture with 240 processor cores | Solve compute problems on your workstation that traditionally required a large cluster installation |
| 4 GB High-Speed Memory | Enables larger datasets to be stored locally for each processor to maximize benefit from the 102GB/s memory transfer speeds and minimize data movement around the system. |
| Widely accepted, easy to learn CUDA C programming environment | Easily express application parallelism to take advantage of the GPU’s many core architecture |
| Scale to multiple GPUs and harness the performance of thousands of processor cores | Solve large-scale problems by scaling to thousands of cores across multiple GPUs |
| IEEE 754 single & double precision floating point units | Achieve the highest floating point performance from a single chip, while meeting the precision requirements of your application |
| Asynchronous transfer capability | Turbo charges system performance because data transfers can be executed concurrently with computation |
| 512-bit memory interface from GPU to on-board memory | Fast GDDR3, 512-bit memory interface delivers 102 GB/sec memory bandwidth for blistering data transfer |
| Shared Data Memory | Groups of processor cores can collaborate using low latency memory |
| High Speed, PCI-Express Gen 2.0 Data Transfer | Fast and high-bandwidth communication between CPU and GPU |
| Tesla GPUs available in flexible form factor | Tesla workstation products and 1U systems enable deployment in a wide range of environments |
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