| 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 |
Scale to multiple GPUs and harness the performance of thousands of processor cores |
| 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 |
