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NVIDIA® Tesla™ C870 GPU computing processor is the first to bring a massively multi-threaded architecture to high performance computing (HPC) applications for scientists, engineers, and other technical professionals.
The Tesla C870 GPU computing transforms a standard system into a personal supercomputer with over 500 gigaflops of peak floating point performance.
With a 128-processor computing core, a C-language development environment for the GPU, a suite of developer tools, and the world’s largest ISV development community for GPU computing, the Tesla C870 GPU computing processor allows professionals to develop applications faster and to deploy them across multiple generations of processors.
The Tesla C870 GPU computing processor can be used in tandem with multi-core CPU systems to create a flexible solution for personal supercomputing.
| Product |
Tesla C870 |
| Form Factor |
ATX, 4.38” x 12.28” |
| # of Tesla GPUs |
1 |
| Total Dedicated Memory |
1.5GB GDDR3 |
| Peak Flops |
Over 500 gigaflops |
| Floating Point Precision |
IEEE 754 single-precision floating point |
| Memory Interface |
384-bit |
| Memory Bandwidth |
76.8 GBps |
| Max Power Consumption |
170W |
| System Interface |
PCI Express x16 |
| Auxiliary Power Connectors |
Yes (2) |
| Number of Slots |
2 |
| Thermal Solution |
Active Fansink |
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