AMD continue to fib on their transistor count, this time with the Llano Fusion APU

AMD caught out revising Llano Fusion APU transistor account.

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If we remember late last year, AMD had talked about the transistor count in their then-released Bulldozer chip, which was meant to house 2 billion transistors, but actually only had 1.2 billion. How a mistake like that can happen is anyone's guess, but it looks like Team Red are up to their old tricks again, it seems.

AMD continue to fib on their transistor count, this time with the Llano Fusion APU | TweakTown.com

Bright Side of News has an interesting piece, where they've noticed that AMD have again given the public an erroneous transistor count. AMD's Llano was meant to have 1.45billion transistors, as the company explained at the Hot Chips 2011 conference, as well as most reviews citing that it sported 1.45 billion transistors.

But, if we look at some of the Trinity reviews, such as AnandTech's, where they state it has 1.178 billion transistors, Tom's Hardware and Tech Report state it has 1.45 billion, but Trinity actually sports 1.30 billion transistors. The die size hasn't changed, and measures in at the same 228mm² since Llano emerged in 2011. Most sites can't really be faulted here, as they've just copy/pasted the specs directly from... AMD.

AMD are just filling their bra with tissues, and flashing their Llano boobies everywhere. But when that bra comes off, you're left looking at a ground covered in tissues. We still love you, AMD, but what's going on?

NEWS SOURCE:brightsideofnews.com

Anthony joined the TweakTown team in 2010 and has since reviewed 100s of graphics cards. Anthony is a long time PC enthusiast with a passion of hate for games built around consoles. FPS gaming since the pre-Quake days, where you were insulted if you used a mouse to aim, he has been addicted to gaming and hardware ever since. Working in IT retail for 10 years gave him great experience with custom-built PCs. His addiction to GPU tech is unwavering and has recently taken a keen interest in artificial intelligence (AI) hardware.

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