NVIDIA Tegra Architecture
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Blazkowicz
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Why not just use a Raspberry Pi and an Arduino?
Kidding aside there's an ungodly amount of I/Os and it's hard to keep track of how many links there are between the Tegras. It's like you decided to have two desktop PCs and they talk through ethernet, two null modem cables, share a Thunderbolt enclosure with a PCIe switch and two GPUs inside, share a USB hub, are plugged into a KVM switch and there's something about a CAN bus (or CAN buses?) and a huge microcontroller.
That was a really cool picture thanks
Kidding aside there's an ungodly amount of I/Os and it's hard to keep track of how many links there are between the Tegras. It's like you decided to have two desktop PCs and they talk through ethernet, two null modem cables, share a Thunderbolt enclosure with a PCIe switch and two GPUs inside, share a USB hub, are plugged into a KVM switch and there's something about a CAN bus (or CAN buses?) and a huge microcontroller.
That was a really cool picture thanks
D
Deleted member 13524
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I think the bulk of the communication between the Parker chips is done through the PCIe PLX. I'd say those additional dual SPI connections between the SoCs are there just to determine which Parker is being host or slave though the PLX in each instance.
Most of the car I/Os seem to be multiplexed/demultiplexed to/from both Parker chips through that Aurix MCU.
Most of the car I/Os seem to be multiplexed/demultiplexed to/from both Parker chips through that Aurix MCU.
This is from the NV financial results. Seems like the Tegra business is picking up! I was expecting them to land Tesla..that partnership should suit both parties well.
Source - http://www.anandtech.com/show/10825/nvidia-announces-record-q3-fy-2017-results
Blazkowicz
Legend
This is what I wondered a bit about, so if you want to plan around the complete failure of one Parker CPU you can. Likewise there should be at least graceful degradation if one or both GPU fail.
Nvidia has concrete plans to release a level 4 car by 2020, in conjunction with Audi:
http://arstechnica.com/cars/2017/01/nvidia-audi-bb8-self-driving-car/
You wouldn't think Nvidia is a big enough player to do this on their own, especially navigating the regulatory and other legal issues involved. It also sounds like they want to sell this system to other manufacturers than Audi. So it's one thing for big tech companies like Google and MS to have a lot of AI and DL experts on staff. Can Nvidia compete in this arena?
They couldn't compete in mobile, couldn't get enough design wins. Now they're in autonomous cars, with a lot of bigger, richer competitors. If the market for self-driving cars take off, it will be much larger than mobile (though not necessarily more profitable). If Audi goes exclusively with Nvidia, that's a big design win with a prestigious marque.
Now the question is, can they design a cost-competitive system? For these prototypes, they're probably spending a lot more on hardware than they would on a production car. Maybe not as many different types of sensors, maybe not as complicated a setup. Or are they able to run this system with self-contained PX2 SOCs without need for additional custom silicon?
http://arstechnica.com/cars/2017/01/nvidia-audi-bb8-self-driving-car/
You wouldn't think Nvidia is a big enough player to do this on their own, especially navigating the regulatory and other legal issues involved. It also sounds like they want to sell this system to other manufacturers than Audi. So it's one thing for big tech companies like Google and MS to have a lot of AI and DL experts on staff. Can Nvidia compete in this arena?
They couldn't compete in mobile, couldn't get enough design wins. Now they're in autonomous cars, with a lot of bigger, richer competitors. If the market for self-driving cars take off, it will be much larger than mobile (though not necessarily more profitable). If Audi goes exclusively with Nvidia, that's a big design win with a prestigious marque.
Now the question is, can they design a cost-competitive system? For these prototypes, they're probably spending a lot more on hardware than they would on a production car. Maybe not as many different types of sensors, maybe not as complicated a setup. Or are they able to run this system with self-contained PX2 SOCs without need for additional custom silicon?
I wonder if anyone has done a teardown of tesla autopilot hw2? That's nvidia hardware based, at the hands of consumers and supposedly will be capable of autonomous driving once software/neural networks mature enough.
https://twitter.com/elonmusk/status/815309075445485568?lang=en
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NVDA announced partnership with BOSCH and ZF at CES (respectively #1 and #5 car audio suppliers) to provide drive PX2 solutions to their customers.
http://fortune.com/2017/01/05/audi-nvidia-2020/
And last but not least, NVDA will also supply Mercedes for a next year model featuring green team AI tech
https://techcrunch.com/2017/01/06/n...z-to-bring-an-ai-car-to-market-within-a-year/
+Volvo + Baidu
so for now, I would say that they got some serious attraction...
D
Deleted member 2197
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Nvidia's Jetson Goes Embedded, Gets Cisco
http://www.eetimes.com/document.asp?_mc=RSS_EET_EDT&doc_id=1331249&page_number=1The latest to sign up for Jetson TX1 is Cisco. It will use Jetson TX1 for its newest enterprise collaboration tool, Cisco Spark Board. The 55-inch 4K board allows users to share a screen, use interactive whiteboard and video-conference.
Cisco picked Jetson TX1 for several reasons. One is a “DirectStylus” technology Nvidia originally developed for tablets, with “extremely low pen-to-ink latency” to replicate the natural whiteboarding experience. Jetson TX1 also offers “advanced graphics,” important in driving the interactive content-sharing experience. Cisco finds TX1’s “image processors and GPUs” critical, as they deliver high-resolution video from the Spark Board’s built-in camera to “create intelligent views from remote participants.”
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How can they get 30 TOPS with 512 core design... 512 * 2 (FMA) = 1024 FLOP per cycle. At 1 GHz that is 1 TFLOP (32 bit float)...
That would be:
- 16 bit float: 2 TFLOP
- 8 bit integer: 4 TFLOP (FMA or DP)
30 TOPS is 7.5x more than my 8 bit integer FMA/DP numbers. How do they calculate TOPS?
That would be:
- 16 bit float: 2 TFLOP
- 8 bit integer: 4 TFLOP (FMA or DP)
30 TOPS is 7.5x more than my 8 bit integer FMA/DP numbers. How do they calculate TOPS?
As has been pointed out in the Volta thread, the majority of those (DL) TOPs most likely come from the CVA (Compute Vision Accelerator) in Xavier. Mobileye calls their unit PMA (Programmable Macro Array) for which in the current EyeQ4 SoC they reach with 2 PMAs 2.5 TOPs@3-4W power and for their upcoming EyeQ5 15 TOPs@5W power: http://www.mobileye.com/our-technology/evolution-eyeq-chip/
It was initially 20 TOPs@20W, but it seems for some reason NV pumped it up to 30 TOPs@30W while most likely increasing CVA unit count (power doesn't scale linearly with frequency increases).
No pixy dust really to get to any of those TOP values for an estimated 2019-2020 timeframe for either/or
It was initially 20 TOPs@20W, but it seems for some reason NV pumped it up to 30 TOPs@30W while most likely increasing CVA unit count (power doesn't scale linearly with frequency increases).
No pixy dust really to get to any of those TOP values for an estimated 2019-2020 timeframe for either/or
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nVIDIA's Tegra Facebook page name was just changed to "nVIDIA Embeeded". I guess this marks the end of the line for the Tegra brand? Since it stopped making sense marketing Tegra directly to the consumer from the moment its technology is mostly dedicated to being integrated in someone else's product, there is no reason for it to exist anymore.
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Deleted member 2197
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NVIDIA Launches the Jetson TX2 IoT System
http://www.guru3d.com/news-story/nvidia-launches-the-jetson-tx2-iot-system.html
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Deleted member 13524
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Something being announced April 29th:
Bet is on a new Shield Portable, the one that was submited to FCC back in July 2016, with a TX1 and 4GB RAM:
https://apps.fcc.gov/oetcf/eas/repo..._id=Wrc3eseKkeEdJUYIDhPxyw==&fcc_id=VOB-P2523
Bet is on a new Shield Portable, the one that was submited to FCC back in July 2016, with a TX1 and 4GB RAM:
https://apps.fcc.gov/oetcf/eas/repo..._id=Wrc3eseKkeEdJUYIDhPxyw==&fcc_id=VOB-P2523
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Deleted member 2197
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Toyota is another huge design win for Nvidia Xavier.
With Mercedes, Honda, Tesla, Volkswagen group (including Audi) and now Toyota, maybe it's time to say that Nvidia is wining the AI automotive race. One thing is sure, Tegra revenue will explode in the next 3-5 years and this division will finally be profitable
http://www.eetimes.com/document.asp?doc_id=1331729&page_number=2
With Mercedes, Honda, Tesla, Volkswagen group (including Audi) and now Toyota, maybe it's time to say that Nvidia is wining the AI automotive race. One thing is sure, Tegra revenue will explode in the next 3-5 years and this division will finally be profitable
I'm surprised they're still going at this with the Switch around. Then again I suppose they're not quite the same market.
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