New and Improved CUDA Libraries
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CUSPARSE, a new library of GPU-accelerated sparse matrix routines for sparse/sparse and dense/sparse operations
CURAND, a new library of GPU-accelerated random number generation (RNG) routines, supporting Sobol quasi-random and XORWOW pseudo-random routines for in both host and device code
CUFFT performance tuned for radix-3, -5, and -7 transform sizes on Fermi architecture GPUs
CUBLAS performance improved 50% to 300% on Fermi architecture GPUs, for matrix multiplication of all datatypes and transpose variations
H.264 encode/decode libraries that were previously available in the GPU Computing SDK are now part of the CUDA Toolkit
CUDA Driver & CUDA C Runtime
Support for new 6GB Quadro and Tesla products
Support for debugging GPUs with more than 4GB device memory.
Integrated Tesla Compute Cluster (TCC) support in standard Windows driver packages
Development Tools

Multi-GPU debugging support for both cuda-gdb and Parallel Nsight
Added cuda-memcheck support for Fermi architecture GPUs
NVCC support for Intel C Compiler (ICC) v11.1 on 64-bit Linux distros
Miscellaneous

Support for malloc() and free() in CUDA C compute kernels
NVIDIA System Management Interface (nvidia-smi) support for reporting % GPU busy, and several GPU performance counters
New GPU Computing SDK Code Samples