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The CUDA platform is accessible to software developers through CUDA-accelerated libraries, compiler directives such as OpenACC, and extensions to industry-standard programming languages including C, C++, Fortran and Python. C/C++ programmers can use 'CUDA C/C++', compiled to PTX with nvcc, Nvidia's LLVM-based C/C++ compiler, or by clang itself. [9]
It ships with most Linux distributions, [230] AmigaOS 4 (using Python 2.7), FreeBSD (as a package), NetBSD, and OpenBSD (as a package) and can be used from the command line (terminal). Many Linux distributions use installers written in Python: Ubuntu uses the Ubiquity installer, while Red Hat Linux and Fedora Linux use the Anaconda installer.
48:24:12 6 12 768 24.0 DDR2 192 120 Unknown OEM GeForce 9600 GSO May 2008 G92-150-A2 754 324 550 1375 800 96:48:12 6.6 26.4 384 768 1536 38.4 GDDR3 264 84 GeForce 9600 GSO 512 October 2008 G94a G94b TSMC 65 nm TSMC 55 nm 505 240 196? [citation needed] 650 1625 900 48:24:16 10.4 15.6 512 57.6 256 156 90 GeForce 9600 GT Green Edition 2009 G94b