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TACC1441 - A Proven Performer

Tableau's TACC1441 is the proven standard for hardware accelerated password recovery. TACC1441 works with leading password recovery solutions AccessData (PRTK & DNA) and Passware Kit v9.5 to dramatically increase the performance of dictionary-based attacks. Built to scale easily and with a low power consumption footprint, TACC1441 is available in desktop and bay-mount products.

The chart below graphs passwords-per-second when running AccessData's PRTK (Password Recovery Toolkit) on three different platforms: a common Pentium IV, a brand-new Intel Core2 Quadcore, and the same Quadcore with one TACC1441 accelerator.

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WinRAR, PGP, and WinZip are widely used file formats which present enormous challenges for password recovery software running on traditional processing platforms. As the chart shows, the TACC1441 accelerates each of these algorithms by a factor of 6x - 30x compared to the un-accelerated processors. And that's just one TACC1441... Several TACC1441 units can be connected to a single host to boost performance even further!

Need Faster Performance? Use Multiple Accelerators!

Do you need even faster performance than the 6x - 30x gain offered by a single TACC1441? If so, you can gang multiple TACC1441 accelerators together on a single computer!

The next chart illustrates the benefit of using multiple Tableau TACC1441 accelerators with a single host computer, in this case, a Pentium Core2 Quadcore. for each additional TACC1441 unit there is roughly a linear increase in performance for many widely used encrypted file formats, such as WinZip and PGP. In certain cases, the benefits extend even to file formats like WinRAR!

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If you are familiar with dictionary-based password attacks like WinZip, you are accustomed to seeing rates of 1,000 - 3,000 passwords per second on Pentium IV computers, maybe 20k+ passwords per second on a mid-size AccessData DNA cluster. Today we have single CPUs with four TACC1441 accelerators running in excess of 250,000 passwords per second!

 
 
 
 
 
 
 
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