Nintendo Wii U gets teardown treatment

Nintendo's next-gen console, Wii U, gets the teardown treatment.

1 minute & 1 second read time

Anand himself has grabbed out his tool belt, and ripped Nintendo's latest, just released, next-gen console, the Wii U, and gave it a teardown treatment. The Wii U isn't too hard to open up and begin looking inside, according to Anand.

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The included Wii U optical drive uses a custom format, offering 25GB of storage on-disc. Max sequential read speeds are actually pretty good compared to current-gen consoles, at 22MB/sec. There's two separate 802.11 b/g/n Wi-Fi controllers, one for the usual Internet connectivity, one for the Miracast display streaming between the Wii U and the GamePad display.

There's some Samsung eMMC included, and Toshiba NAND on the back of the board. Four 4Gb (512MB) Hynix DDR3-1600 devices are baked inside, with the memory shared between the CPU and GPU. We should have around 12.8GB/sec of peak memory bandwidth in the Wii U. Comparing this to the 5.6GB/sec available on the Wii, and we're looking at just over double the internal bandwidth - which isn't too bad at all.

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Power consumption on the Wii U isn't too bad, with peak power consumption at 33W when playing Super Mario U, and standby usage is just 0.22W. The multi-core PowerPC-based CPU is on the main board, with an RV7xx derived GPU the biggest die in the Wii U, with Anand presuming "it was made on a 40nm process".

There are a heap of pictures and more details, if you want to check out the entire story.


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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