NVIDIA CES 2015 Press Conference Liveblog
by Ryan Smith & Joshua Ho on January 4, 2015 10:57 PM EST12:36AM EST - And we're done here, more later
12:36AM EST - Wrap-up summary: Tegra X1, Drive CX, Drive PX
12:35AM EST - Tegra X1 for graphics for cars, Tegra X1 for compute for cars
12:34AM EST - This Tegra PX unit has never been trained against the NV parking garage. It did all of this on the first shot
12:33AM EST - Now parking
12:33AM EST - Auto valet finally found a spot
12:30AM EST - Using the camera data to model the environment and then do path finding in it
12:28AM EST - Running Drive PX against the simulation
12:25AM EST - Using sim to show how Drive PX auto-valet works
12:24AM EST - NVIDIA created a simulation of their parking garage
12:22AM EST - More on Drive PX: Surround Vision
12:22AM EST - And NVIDIA wants to supply the hardware and parts of the osftware
12:21AM EST - Audi bullish on self-driving cars
12:19AM EST - Audi now going on a multi-state tour with their self-driving car
12:18AM EST - Now discussing Audi's self-driving concept car
12:16AM EST - Audi Prologue: Audi wants to go all digital in the cockpit
12:13AM EST - Discussing Audi's pioneering use of Tegra in their cars
12:10AM EST - Audi is a repeat partner of NVIDIA. Have been at previous NVIDIA events
12:10AM EST - Now on stage Ricky Hudi of Audi. Exec VP of Electronics Development
12:07AM EST - Tegra X1 neural net classification performance is more than doubled over TK1
12:07AM EST - Closing the circle: send classification results back to the supercomputer to correct improperly identified objects
12:06AM EST - Drive PX receives the finished neural net and uses it for classification
12:05AM EST - Training is GPU-time intensive, so it occurs on Tesla supercoputers
12:03AM EST - (Outside NV HQ, so it was staged)
12:02AM EST - Cameras at least properly identified the police car behind them
12:02AM EST - NVIDIA car got pulled over by the police
12:01AM EST - How to Train Your Computer
11:59PM EST - Identifying cars, trucks, vans, etc
11:58PM EST - Still on Drive PX computer vision demo. New scene: Vegas
11:56PM EST - Drive PX can also identify speed cameras
11:55PM EST - Processing is in monochrome, though the video is color for human benefit
11:54PM EST - Drive PX is IDing signs, pedestrians, traffic lights. Can even pick out partially occluded pedestrians
11:53PM EST - Clarification: video is recorded, Drive PX processing is being done live
11:51PM EST - Neural networks in a nutshell: throw a ton of data at a network and let it figure out how to organize it to recognize it in the future
11:51PM EST - Now showing a demo of how a recently trained Drive PX sees the world
11:50PM EST - Neural networks to power car image recognition
11:48PM EST - Neural networks, continued
11:45PM EST - Neural network tech is still fairly new, but its getting better
11:42PM EST - Now a brief overview of how neural networks work and how they can be trained on GPUs and then executed on GPUs
11:41PM EST - Neural networks and computer vision tend to be good fits for GPUs, so for NVIDIA this is a logical use for their GPU technology
11:40PM EST - Analysis taps all the major Tegra X1 components: CPUs, GPUs, and ISPs
11:40PM EST - Use camera data + Drive PX plus software based on deep neural nets to begin understanding the world and build an internal model of it
11:37PM EST - Cameras: 1080p60, x12
11:37PM EST - Based on 2 Tegra X1s, 12 camera inputs, process 1.3GPix/sec
11:37PM EST - "Auto-pilot car computer"
11:37PM EST - Second new car platform: Drive PX
11:36PM EST - Self piloting cars? NVIDIA wants to build the in-car computer to enable that
11:34PM EST - Now how to replace radar and ultrasound with vision cameras (in some circumstances)
11:33PM EST - Quck description of how ADAS works: radar, ultrasound, and vision
11:32PM EST - Parking assist, lane change assist, adaptive cruise control, etc
11:31PM EST - More cars, now discussing ADAS - Advanced Driver Assistance Systems
11:30PM EST - Wrapping up Drive CX. NVIDIA sells the whole platform
11:28PM EST - Change the simulated material used for you gauges on the fly
11:28PM EST - More on physically based rendering and how important NVIDIA feels it is
11:24PM EST - Running physically based rendering on the cockpit, just to show that they can
11:23PM EST - Android-powered, so it can be used with Google Maps and other Android apps
11:22PM EST - Now showcasing navigation mode
11:21PM EST - The 3D cockpit looks more flashy than functional, but the concept seems sound
11:19PM EST - Drive Studio is meant to be a complete off-the-shelf digital cockpit solution. NVIDIA is including almost everything one would need
11:18PM EST - Live demo of Drive CX running a virtual cockpit and infotainment center
11:17PM EST - Drive CX uses: navigration, cockpit displays, etc
11:17PM EST - There are issues with connection on site, images are slow to upload.
11:16PM EST - Also comes with an NVIDIA software suit called DRIVE Studio
11:16PM EST - Powered by Tegra X1, is a complete digital cockpit computing kit
11:15PM EST - New NVIDIA platform: Drive CX
11:14PM EST - Talking about how "rich displays" in cars mean more displays at a higher resolution; need more powerful GPUs to run it
11:13PM EST - NVIDIA's Tegra automotice business has been a small success amid the greater challenges that hvae faced Tegra
11:13PM EST - Now for a subject that's a favorite of Jen-Hsun: cars
11:12PM EST - Paper napkin math says that the GPU clockspeed needs to be 1GHz for NVIDIA's GPU performance numbers
11:12PM EST - Confirmed that it's Erista
11:12PM EST - NVIDIA is proclaiming it a 1 TFLOPS GPU, though this is at FP16 as opposed to the more normal FP32 metric for TFLOPS
11:11PM EST - TX1 adds native-ish FP16 support
11:10PM EST - Clearly not as high quality as the desktop GPU demos, but it still looks impressive
11:09PM EST - This of course already ran on Maxwell desktop GPUs, so it looks like NVIDIA has ported the necessary bits to ARM
11:08PM EST - Yep. Eleental
11:07PM EST - Sounds like we're going to be seeing Unreal Engine Elemental running on TX1
11:07PM EST - Tegra X1 demo, running at roughly 10W
11:07PM EST - Maxwell's energy efficiency means that NVIDIA can alleviate some of that unavoidable TDP throttling
11:05PM EST - Promising much better GPU performance than Tegra K1 at the same power
11:05PM EST - GPU-heavy introduction. The focus is all on the GPU
11:05PM EST - This should be Erista, first added to the NV roadmap at GTC 2014: http://www.anandtech.com/show/7905/nvidia-announces-jetson-tk1-dev-board-adds-erista-to-tegra-roadmap
11:04PM EST - 8 core CPU
11:04PM EST - 256 core Maxwell GPU
11:03PM EST - Announcing Tegra X1
11:03PM EST - Starting things off with Maxwell
11:02PM EST - Starting with a recap of past achievements; Tegra K1, Maxwell, etc
11:02PM EST - Jen-Hsun is now on stage
11:01PM EST - NVIDIA has started promptly at 8pm
11:01PM EST - Ryan is on the keys, Josh is on the photos
11:01PM EST - Okay, we're seated and connected
18 Comments
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hammer256 - Sunday, January 4, 2015 - link
Huh, 8 core CPU, I wonder if they are using ARM's big-little implementation, probably with cortex 5x cores?jjj - Sunday, January 4, 2015 - link
They mentioned 2 clusters or something like that, don't remember the precise wording but it's clear it's bigLITTLE and that blows, wanted quad Denver.mmrezaie - Sunday, January 4, 2015 - link
maybe there are different iterations of tegra this time. 10W sample board looks scary, but in hpc though ...jjj - Sunday, January 4, 2015 - link
we'll see but no hint so far ,they keep talking about cars.kron123456789 - Monday, January 5, 2015 - link
I hope they'll show something mobile, not just hpcs for cars.hammer256 - Sunday, January 4, 2015 - link
I do wonder what the future of Denver holds then... hopefully they will keep on iterating on it.jjj - Sunday, January 4, 2015 - link
Specs from the press releaseTegra 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
hammer256 - Sunday, January 4, 2015 - link
Oooh, good to see that 20nm process showing up.... Now I wonder what the transistor count is, maybe ~1.5B?jjj - Sunday, January 4, 2015 - link
we should see 16nm in devices this year (Huawei had Q3 on their roadmap) so if this 20nm doesn't get in actual devices very fast ....vred - Monday, January 5, 2015 - link
Frankly I am disappointed... no Maxwell news, nothing about GM200...