Nvidia Announces Tegra X1 64-bit Octa-core Processor with 256-Core Maxwell GPU

CES 2015 has started, and the first company to present their innovations is Nvidia. Last year their introduced Tegra K1, the first mobile processor with a desktop GPU with support for OpenGL. They’ve now raised the bar with Tegra X1, an octa-core 64-bit ARM processor with a 256-core Maxwell GPU delivering 1.5x to 2x the performance of Tegra K1, and supporting 4K60 video playaback with H.265 and VP9 codecs.

Some geekbench benchmark comparing X1, K1, and Apple A8x.

Nvidia CEO also claiemd Tegra X1 is the first mobie SoC delivering over 1 Teraflops, something that was achieved around year 2,000 with 20,000 Pentium pro processor consuming 1 millions Watts, while X1 SoC only consumes about 10 Watts.

Power efficiency is said to have improved too, as Maxwell GPU is said to delivers more performance with similar power efficiency.

They also introduced Drive CX mini computer for automotive application featuring Tegra X1. It can handle 16.6M pixel, or 2x 2K displays @ 60 Hz, and runs QNX, Linux, or Android.
The company also showcase a Cockpit demo during the presentation.

And they’ve also announced Drive PX board with two Tegra X1 processors, 12-camera inputs for autonomous cars that drive themselves.

The board uses a new technology called Deep Neural Networks for better object detection.

More information should be published soon on Nvidia Tegra page.

Update. Some specs:

Tegra X1 supports all major graphics standards, including Unreal Engine 4, DirectX 12, OpenGL 4.5, CUDA®, OpenGL ES 3.1 and the Android Extension Pack, making it easier for developers to bring PC games to mobile.
Tegra X1’s technical specifications include:

  • 256-core Maxwell GPU
  • 8 CPU cores (4x ARM Cortex A57 + 4x ARM Cortex A53)
  • 60 fps 4K video (H.265, H.264, VP9)
  • 1.3 gigapixel of camera throughput
  • 20nm process
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16 Replies to “Nvidia Announces Tegra X1 64-bit Octa-core Processor with 256-Core Maxwell GPU”

  1. Have to say that Nvidia have started to go for the right path with their Tegra line, sure the Tegra 4 (not the ‘i’ version that sucks) was already doing things right, but the K1/X1 really do show that they can actually do the right thing (all is upstream as FLOSS).

    Too bad their discrete GPU support sucks for anything beyond blobs.

    AMD really need to do their ARM side the same way… And maybe every other mfg that wants to stay alive beyond selling cheap crud filling the landfills few years later.

  2. Probably dumb question: does a 256-core GPU make this a competitor with the (yet-to-materialise) 64 core Parallella board? (I don’t understand if the GPU cores and Epiphany cores are comparable, for one thing…)

  3. Now we need Jetson TX1 or whatever they call it 🙂 There will be 3 companies providing similar A57/A53 setup, Qualcomm, Samsung and Nvidia. Allwinner probably will join the list later this year. I wonder if there will be significant performance difference. All are designed by ARM Ltd, support LPDDR4 (I think) and are 20nm. Well Nvidia uses different IP blocks for power management, custom interconnect and only cluster migration supported.

    Keeping my fingers crossed for 4GB of RAM.

  4. @Sander
    I think, there are some Snapdragon 810 (64-bit) development board with 999 USD price tag. It’s way better to go for APM reference systems for server-on-chip 64-bit (if you need RAW CPU power and lots of RAM). Otherwise there isn’t yet low-cost ARMv8 64-bit board. Hopefully Nvidia announces a new development board in March 17-20, GTC ’15 (GPU Technology Conference). I think, Jetson TK1 was shipping in April (a month after announcement). I hope, Nvidia wont go above 200-250 USD for X1 dev board. I wouldn’t expect upstream kernel support soonish also. They cleaned their tegra124 parts for 64-bit and submitted very few bits for tegra132. They mentioned that tegra132 (Tegra K1 64-bit) should be soonish upstreamed.

  5. @kcg
    According to Nvidia they couldn’t switch Denver to 20nm fast enough, thus they bought A57/A53 for 20nm from ARM Ltd. This way they could release SoC with Maxwell GPU. Denver might show up in future SoCs (probably 16nm FF/FF+). Nvidia focused on fast-to-market approach for Maxwell GPU.

  6. @kcg @davidlt @cnxsoft

    Thank you. I now realize I should have asked “So … when can we expect a SBC with a 64-bit ARM … for less than 99 USD”?

    With all those ARM-32bit SBC starting at 35 USD, I would have expected (or: hoped for) a sub-99USD 64-bit SBC. But maybe there is no need for that in the market.

  7. @onebir

    Depends on what you’re trying to do. Number of GPU cores or PPU cores does factor into “faster”- but only if there is an apples-to apples comparison you’re making when you do it. For some instruction mixes, the Epiphany Cores will probably have an edge on the Maxwell cores. (I suspect that branch-heavy stuff will fare better on them than the Maxwell ones, for example…

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