Experience breakthrough performance for your high performance computing applications now! Nvidia’s “Mad Scientist” promotion allows you to purchase a Tesla C1060 GPU Computing Processor or a Tesla S1070 1U GPU Computing System and qualify for a special, limited time promotional upgrade to a new Fermi-based Tesla 20-series GPU computing product. This offer ends January 31, 2010. Special educational promotions are certainly available.
Based on the next generation CUDA™ architecture, code named “Fermi”, the new Tesla 20-series GPU Computing Solutions offer the most advanced GPU computing architecture ever built. It features innovative technology including up to 8X double precision performance, more parallel processing capabilities, ECC implementation, and the NVIDIA GigaThread™ engine — delivering results for the most demanding HPC applications faster and more accurately.
To see how Fermi matches up to other Nvidia products look at this table.:
| Video Card | Memory | Single Precision | Double Precision | Bandwidth |
| Nvidia | GB | GFLOP/s | GFLOP/s | GB/s |
| GTX 260 core-216 | 0.896GB | 805 | 67 | 112 |
| GTX 275 | 0.896GB | 1011 | 84 (est.) | 127 |
| GTX 280 | 1.024GB | 933 | 78 | 142 |
| GTX 285 | 1.024GB (2.048GB on some cards) | 1062 | 89 | 159 |
| GTX 295 | 1.792GB (2 X 0.896GB) | 1789 | 149 | 224 |
| Tesla C870 | 1.5GB DDR3 | 518 | None | 77 |
| Tesla C1060 | 4GB DDR3 | 933 | 78 | 102 |
| Fermi C2050 | 3GB ECC DDR5 | 1040 | 520 | 160 |
| Fermi C2070 | 6GB ECC DDR5 | 1260 | 630 | 179 |
You can see that for single precision there is not much change and for many applications that don’t need more than 0.896GB memory the GTX 295 could be a great solution. But for mission critical work and especially work that needs double precision Fermi shines. Also for GPU-accelerated rendering having as much memory on the graphics card as in system memory becomes important so 6GB on the C2070 will become invaluable.
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