Jag tror fortfarande det inte är något att bekymra sig för i den ena eller andra riktningen, för här är et klipp direkt från info mail till en stor produsent jag har lite kontakter med från Nvidia egentligen inte för konsumenters ögon, men det har ju inga hemligheter.....
This is the first PC GPU architecture designed specifically for Supercomputing. We're delivering the features and performance at generally one-tenth the cost and one-twentieth the power of the previous generation for great increased affordability, furthermore purpose of use will be severly more general than ever due to flexibility of the new architecture. This will happen this year, we are still on top of our roadmap and are not in lack of time, and more documentation will find way thru developer news and pressreleases shortly. There are however practical details to be solved but we asure effort to make the products available.
Interestingly, even though the AMD Radeon HD 5800 series has received rave reviews, from a computing perspective, namely Tom Halfhill who characterizes Nvidia's Fermi as uncontested. Fermi surpasses anything announced by Nvidia's leading GPU competitors.
"Conceptually", Fermi's closest competitor is Intel's Larrabee.
Expected to debut next year, Larrabee chips will attack the market from the opposite direction. They will use general-purpose x86-architecture cores for both 3D graphics and GPU computing – a radically different approach than adapting a specialized 3D-graphics architecture for general-purpose computing. Until the first Larrabee chips appear, it's not clear whether the x86 can make such a leap.
Andy Keane
General manager of TESLA business unit at Nvidia.
Här är mer från en annan okänd källa inom Nvidia.
To implement ISA inside the GPU took a lot of bravery, and with GT200 project over and done with, the time came right to launch a chip that would be as flexible as developers wanted, yet affordable.
In a nutshell, this is just baseline information about what nVidia is going to introduce in the next couple of weeks. Without any doubt, we can see that nVidia reacted to Larrabee by introducing a part that is extremely efficient, natively support key industry standards and more importantly, doesn't cost an arm and a leg.
The line-up is consisted out of high-end consumer part [GeForce], commercial [Quadro] and scientific [Tesla]. You can expect memory sizes from 1.5GB for consumer GeForce 380 to 6GB for commercial Quadro and Tesla parts.
Det sista avsnittet gjorde jag en bra kvalifiserad gissning om i en tidigare tråd