• C++, complementing existing support for C, Fortran, Java, Python, OpenCL and DirectCompute.
• ECC, a critical requirement for datacenters and supercomputing centers deploying GPUs on a large scale
• 512 CUDA Cores featuring the new IEEE 754-2008 floating-point standard, surpassing even the most advanced CPUs
• 8x the peak double precision arithmetic performance over NVIDIA’s last generation GPU. Double precision is critical for high-performance computing (HPC) applications such as linear algebra, numerical simulation, and quantum chemistry
• NVIDIA Parallel DataCache – the world’s first true cache hierarchy in a GPU that speeds up algorithms such as physics solvers, raytracing, and sparse matrix multiplication where data addresses are not known beforehand
• NVIDIA GigaThread Engine with support for concurrent kernel execution, where different kernels of the same application context can execute on the GPU at the same time (eg: PhysX fluid and rigid body solvers)
• Nexus – the world’s first fully integrated heterogeneous computing application development environment within Microsoft Visual Studio

For the geeks who would like extreme details about the new technology, PC Perspective has a great article going in depth. In layman’s terms, the new Fermi chipset will introduce the ‘GT300’ series – the big brother of the currently reigning GT200 series, with heavy performers like the GTX285 and GTX295. 

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