Thanks to a flood of new arrivals, over the next couple of weeks we’ll be taking a look at a range of GTX 670 and GTX 680 cards from Asus, EVGA, MSI, and Zotac. And to kick things off our first card will be what's perhaps the most unique card among them: EVGA's GeForce GTX 680 Classified, our first fully-custom GTX 680.

In EVGA’s product hierarchy the Classified is their top of the line product, where they typically go all-out to make a customized products to scratch the itch of overclockers and premium buyers alike. The GTX 680 Classified in turn is EVGA’s take on an ultra-premium GTX 680, creating a card that is monstrous in virtually every sense of the word. What has EVGA seen fit to do with their fully-custom GTX 680, and does it live up to the hype and the price tag that comes with the Classified name? Let’s find out.

The GeForce GTX 680 launch marked both the closest and the farthest AMD has ever been from outright beating NVIDIA in modern times. On the one hand NVIDIA beat them by more than usual by achieving the holy trifecta as opposed to focusing just on performance. And yet on the other hand when it comes to raw performance AMD has never been this close. Where the GTX 580 beat the 6970 by 15% the GTX 680 led by just 10%, and even then it lost to the 7970 on some games. With such a close gap an obvious question arises: maybe, just maybe AMD could meet or beat NVIDIA with a higher clocked 7970 and rival them for the performance crown?

Today AMD is putting that idea to the test with the launch of the Radeon HD 7970 GHz Edition. Although AMD is not calling the 7970 GHz Edition a response to the GTX 680 – instead choosing to focus on it being Tahiti’s 6 month birthday – for all intents and purposes this is AMD’s response to the GTX 680. A higher clocked 7970 with AMD’s take on GPU turbo intended to make a run at the GTX 680 and that performance crown. So how does AMD fare? As we’ll see, after today it will no longer be clear who holds the performance crown.

Two weeks ago NVIDIA formally launched the retail GeForce GT 640, catching up to their OEM and laptop offerings with their first GK107 based video card for the retail desktop market. GT 640 is designed to be NVIDIA’s entry-level Kepler video card, joining several Fermi rebadges as the members of the GT 6xx series. With the enthusiasm behind Intel’s Ivy Bridge in the laptop market and the boost in sales it has provided for NVIDIA’s mobile GPUs, NVIDIA is hoping to accomplish the same thing in the desktop market with GT 640.

Today we’ll finally be taking a look at the GT 640 in action. As is common with entry-level video cards there is no reference design intended for retail sale and NVIDIA isn’t sampling any such card. However, NVIDIA’s partners are stepping up to sample cards to the press. Our sample comes from Zotac, who sent over their single slot based Zotac GeForce GT 640.

Intel's first 22nm CPU, codenamed Ivy Bridge, is off to an odd start. Intel unveiled many of the quad-core desktop and mobile parts last month, but only sampled a single chip to reviewers. Dual-core mobile parts are announced today, as are their ultra-low-voltage counterparts for use in Ultrabooks. One dual-core desktop part gets announced today as well, but the bulk of the dual-core lineup won't surface until later this year. Furthermore, Intel only revealed the die size and transistor count of a single configuration: a quad-core with GT2 graphics. Compare this to the Sandy Bridge launch a year prior where Intel sampled four different CPUs and gave us a detailed breakdown of die size and transistor counts for quad-core, dual-core and GT1/GT2 configurations. Why the change? Various sects within Intel management have different feelings on how much or how little information should be shared. It's also true that at the highest levels there's a bit of paranoia about the threat ARM poses to Intel in the long run. Combine the two and you can see how some folks at Intel might feel it's better to behave a bit more guarded. I don't agree, but this is the hand we've been dealt.

Intel also introduced a new part into the Ivy Bridge lineup while we weren't looking: the Core i5-3470. At the Ivy Bridge launch we were told about a Core i5-3450, a quad-core CPU clocked at 3.1GHz with Intel's HD 2500 graphics. This is our first experience with a more affordable Ivy Bridge CPU and with Intel's HD 2500. Read on for our full review!

You guys really impressed AMD with how quickly you took advantage of their 50 free passes to AMD's Fusion12 Developer Summit (AFDS). After seeing that a couple of commenters were unable to get in, I went back and asked AMD if there was any way we could get some more passes. After some initial hesitation (AFDS space is pretty limited), AMD agreed to give away another 30 passes to AnandTech readers as a show of appreciation for you guys.

The show runs from June 11 - 14 in Bellvue, WA, with extended early registration going for $395 per person today. Just like last time, the 30 passes are first come, first serve. Just use promo code Anand12 anytime between now and June 7 (or sooner if we run out of passes). Please only use the code if you are able to attend.

Apparently Manju was feeling pretty generous after our recent Ask the Experts session and gave us 50 free passes to AMD's Fusion12 Developer Summit (AFDS) to give away to AnandTech readers. The show runs from June 11 - 14 in Bellvue, WA, with extended early registration going for $395 per person today. We've got 50 passes to give away, they are first come, first serve. Just use promo code Anand12 anytime between now and June 7 (or sooner if we run out of passes). 

Update: Sorry guys, we're all out of free passes! Congrats to the first 50 who got in!

AMD’s Manju Hegde is one of the rare folks I get to interact with who has an extensive background working at both AMD and NVIDIA. He was one of the co-founders and CEO of Ageia, a company that originally tried to bring higher quality physics simulation to desktop PCs in the mid-2000s. In 2008, NVIDIA acquired Ageia and Manju went along, becoming NVIDIA’s VP of CUDA Technical Marketing. The CUDA fit was a natural one for Manju as he spent the previous three years working on non-graphics workloads for highly parallel processors. Two years later, Manju made his way to AMD to continue his vision for heterogeneous compute work on GPUs. His current role is as the Corporate VP of Heterogeneous Applications and Developer Solutions at AMD.

Given what we know about the new AMD and its goal of building a Heterogeneous Systems Architecture (HSA), Manju’s position is quite important. For those of you who don’t remember back to AMD’s 2012 Financial Analyst Day, the formalized AMD strategy is to exploit its GPU advantages on the APU front in as many markets as possible. AMD has a significant GPU performance advantage compared to Intel, but in order to capitalize on that it needs developer support for heterogeneous compute. A major struggle everyone in the GPGPU space faced was enabling applications that took advantage of the incredible horsepower these processors offered. With AMD’s strategy closely married to doing more (but not all, hence the heterogeneous prefix) compute on the GPU, it needs to succeed where others have failed.

The hardware strategy is clear: don’t just build discrete CPUs and GPUs, but instead transition to APUs. This is nothing new as both AMD and Intel were headed in this direction for years. Where AMD sets itself apart is that it is willing to dedicate more transistors to the GPU than Intel. The CPU and GPU are treated almost as equal class citizens on AMD APUs, at least when it comes to die area.

The software strategy is what AMD is working on now. AMD’s Fusion¹² Developer Summit (AFDS), in its second year, is where developers can go to learn more about AMD’s heterogeneous compute platform and strategy. Why would a developer attend? AMD argues that the speedups offered by heterogeneous compute can be substantial enough that they could enable new features, usage models or experiences that wouldn’t otherwise be possible. In other words, taking advantage of heterogeneous compute can enable differentiation for a developer.

In advance of this year’s AFDS, Manju agreed to directly answer your questions about heterogeneous compute, where the industry is headed and anything else AMD will be covering at AFDS. Today we have those answers. Read on!

We’re here at NVIDIA’s GPU Technology Conference (GTC) 2012, where NVIDIA is holding their semi-annual professional developers conference. There’s been a great deal announced that will take a few days to completely go over, but for now we wanted to start on the product side with NVIDIA’s major product announcements.  With the launch of GK104 back in March NVIDIA is now ready to start rolling out some of their professional productions, and while the next generation of Quadro is not yet ready, Tesla is another matter. This brings us to our first part of our GTC coverage: the next generation of Tesla cards, Tesla K10 and Tesla K20.