Every GPU is paired with 4GB GDDR5 memory for a grand total of 8GB, a world record for a GPU. Our sources warned us that this product is also suffering from the GPU Compute choices the company made with GK104 chip, and the new Tesla C3000 Series part will follow suit. We've been told to expect good SP performance (IEEE 754 "binary32" Single Precision), and GeForce-specific weak DP FP (IEEE 754 "binary64" Double Precision). According to the sources, "the big daddy silicon" is still not ready, while there is a lot of market demand for Kepler-based SP FP applications.
Given that Kepler GPU architecture increased the amount of SP FLOP (Floating Point Operation) from 64 to 96 in a single cycle, we understand the market demand for SP. While HPC customers will probably opt to wait for GK110-based Kepler boards, there is a large amount of customers that said that they don't give a "rat's behind" for DP and that they demand a Kepler part for their computational needs.
NVIDIA prepping dual-GPU Tesla with 8GB ECC GDDR5?
Posted on Thursday, May 10 2012 @ 17:01 CEST by Thomas De Maesschalck