Nvidia Tesla m1060, fx5800DRIVER 512bit 4Gb 102GB/s DVI

modificirana i ispravna nvidia Tesla m1060 sa dvi izlazom i 120mm ventilatorom, pc ju sada prepoznaje kao quadro fx 5800, kartica zahtjeva 6pin i 8pin napajanje te zbog svoje težine (preko 1kg) trebala bi biti instalirana okomito na matičnu ploču NIJE FIKSNO, Ne odgovaram na poruke.

http://www.nvidia.in/object/product_tesla_m1060_in.html

http://www.nvidia.com/object/product_quadro_fx_5800_us.html

4 GB High-Speed Memory per Processor
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.
512-Bit Memory Interface
Fast GDDR3, 512-bit memory interface delivers 102 GB/sec memory bandwidth for blistering data transfer.
64-bit ALUs for Double-Precision Math
Meets the precision requirements of your most demanding applications with 64-bit ALUs.
Asynchronous Transfer Capability
Turbocharges system performance because data transfers can be executed concurrently with computation.
Avoid External PCIe Cables
Built into the host system eliminating external PCIe cables.
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.
High Reliability
System fans provide redundancy for high reliability, so a single fan failure will not cause a GPU cooling problem.
Massively-Parallel Many-Core Architecture
240 processor cores per GPU capable of executing thousands of concurrent threads.
Widely accepted, easy to learn NVIDIA® CUDA™ C programming environment
Easily express application parallelism to take advantage of the GPU’s many core architecture.
Remote Monitoring
Integrated into the monitoring and management capabilities of the host system, so the GPUs appear as another processor in the system.
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.