Little did we know at the time, but back in February of this year, before the first GF100 chips even shipped in commercial products, the decision had been made in the halls of Nvidia to produce a new spin of the silicon known as GF110. The goal: to reduce power consumption while improving performance. To get there, Nvidia engineers scoured each block of the chip, employing lower-leakage transistors in less timing-sensitive logic and higher-speed transistors in critical paths, better adapting the design to TSMC's 40-nm fabrication process.
At the same time, they made a few targeted tweaks to the chip's 3D graphics hardware to further boost performance. The first enhancement was also included in the GF104, a fact we didn't initially catch. The texturing units can filter 16-bit floating-point textures at full speed, whereas most of today's GPUs filter this larger format at half their peak speed. The additional filtering oomph should improve frame rates in games where FP16 texture formats are used, most prominently with high-dynamic-range (HDR) lighting algorithms. HDR lighting is fairly widely used these days, so the change is consequential. The caveat is that the GPU must have the bandwidth needed to take advantage of the additional filtering capacity. Of course, the GF110 has gobs of bandwidth compared to most.
The second enhancement is unique to GF110: an improvement in Z-culling efficiency. Z culling is the process of ruling out pixels based on their depth; if a pixel won't be visible in the final, rendered scene because another pixel is in front of it, the GPU can safely neglect lighting and shading the occluded pixel. More efficient Z culling can boost performance generally, although the Z-cull capabilities of current GPUs are robust enough that the impact of this tweak is likely to be modest.
The third change is pretty subtle. In the Fermi architecture, the shader multiprocessors (SMs) have 64KB of local data storage that can be partitioned either as 16KB of L1 cache and 48KB of shared memory or vice-versa. When the GF100 is in a graphics context, the SM storage is partitioned in a 16KB L1 cache/48KB shared memory configuration. The 48KB/16KB config is only available for GPU computing contexts. The GF110 is capable of running with a 48KB L1 cache/16KB shared memory split for graphics, which Nvidia says "helps certain types of shaders."
and a great card 
( for the time)
