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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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