02:14PM EDT - Off to see more of the show

02:14PM EDT - And that's a wrap

02:13PM EDT - Recapping: SDKs, IRAY VR, Tesla P100, DGX-1, and autonomous cars

02:12PM EDT - Part of the 2016/2017 Formula E season

02:12PM EDT - Wil; be participating in the Roborace. All cars are PX2-powered

02:12PM EDT - Autonomous race car. 2200lbs

02:10PM EDT - Demonstrating DAVENET AI driivng software in action

02:10PM EDT - Cue "Knight Rider" theme

02:09PM EDT - It took BB8 some time to get halfway-decent at driving

02:08PM EDT - Roll video

02:08PM EDT - So we're going to see BB-8 learn to drive

02:08PM EDT - "Name of the car" even

02:08PM EDT - "We've been working on a project that is really fun. The name of the card is BB-8"

02:05PM EDT - PX2 in the car, DGX-1 in the cloud

02:05PM EDT - (Jen-Hsun is prepared for zoom photos this time)

02:04PM EDT - Drive PX2 uses two unannounced Pascal GPUs

02:04PM EDT - Drive PX2 in Jen-Hsun's hands

02:04PM EDT - Baidu, even

02:03PM EDT - Baisu is working on an NVIDIA-powered self-driving car computer as well

02:02PM EDT - Demoing DriveNet running at 180fps running on the smallest Drive PX

01:58PM EDT - Recapping Drive PX

01:57PM EDT - Up now: cars

01:57PM EDT - Deep learning everywhere

01:56PM EDT - Recap: Tesla M40 for hyperscale, K80 for multi-app HPC, P100 for scales very high, and DGX-1 for the early adopters

01:54PM EDT - First DGX-1s will be going to research universities

01:54PM EDT - NVIDIA is taking orders starting today

01:53PM EDT - DGX-1: $129,000

01:50PM EDT - NVIDIA has adapted TensorFlow for VGX-1

01:47PM EDT - Now on stage: Raja Monga of Google's TensorFlow team

01:47PM EDT - More AI/neural network examples coming up

01:41PM EDT - Baidu is using recurrent neural networks rather than convolutional

01:40PM EDT - Now on stage: Brian of Catanzaro of Baidu

01:38PM EDT - 1.33B images per day

01:38PM EDT - "We achieved a 12x speed-up year-over-year" in deep learning

01:37PM EDT - "Datacenter in a box"

01:37PM EDT - Discussing the challenges in scaling out the number of nodes in many algorithms

01:35PM EDT - Two Xeons, and 7TB in SSD capacity

01:35PM EDT - Quad Infiniband, Dual 10GBe

01:34PM EDT - 170TF FP16 in a box. 8 P100s in a hybrid cube mesh

01:34PM EDT - A full deep learning rackmount server


01:33PM EDT - But if it's 600mm2 for just the die, that's a huge jump in the size of dies being produced on 16nm/14nm TSMC/Samsung FinFET

01:33PM EDT - Need to get confirmation on whether 600mm2 is just the GPU die, or if they're counting other parts as well

01:32PM EDT - "We'll ship it... soon"

01:32PM EDT - P100 servers coming in Q'17

01:31PM EDT - P100 in volume production today

01:30PM EDT - NV wanted new algorithms to take advantage of the hardware

01:29PM EDT - Recapping NVLink. 5x the aggregate speed of PCIe 3.0

01:29PM EDT - "TSMC CoWoS® (Chip-On-Wafer-On-Substrate) services use Through Silicon Via (TSV) technology to integrate multiple chips into a single device. This architecture provides higher density interconnects, decreases global interconnect length, and lightens associated RC loading resulting in enhanced performance and reduced power consumption on a smaller form factor."

01:28PM EDT - Chip on Wafer on Substrate, the largest such chip ever made

01:28PM EDT - Er, 600mm^2 !!!!

01:27PM EDT - 500mm^2 !!!

01:27PM EDT - Jen-Hsun is "very frickin excited" about it

01:27PM EDT - Pre-emption

01:27PM EDT - Pascal, 16nm FinFET, Chip-On-Wafer-On-Substrate, NVLink, and New AI Algorithms

01:26PM EDT - The Tesla P100 is "5 miracles"

01:26PM EDT - (150B Transistors is undoubtedly counting the RAM, BTW)

01:26PM EDT - This is using the previously announced mezzanine connector with on-package memory

01:25PM EDT - (14MB is huge for a register file, BTW. That's a lot of very fast memory)

01:24PM EDT - 5.3TF FP64, 10.6TF FP32, 21.2TF FP16, 14MB SM Register File, 4MB L2 Cache

01:24PM EDT - 150B Transistors

01:23PM EDT - "The most ambitious project we have ever undertaken"

01:23PM EDT - Tesla P100

01:23PM EDT - writeln ('Hello, world.')

01:23PM EDT - Pascal time!

01:22PM EDT - AI needs more computing power than what is currently available

01:22PM EDT - "We simply don't have enough computing horsepower"

01:18PM EDT - Teaching AI to draw landscapes inspired by those images

01:18PM EDT - Training it with Romantic-era images

01:17PM EDT - Teaching a neural network to paint

01:17PM EDT - Demo time: Facebook AI Research

01:16PM EDT - Jen-Hsun wants to move from supervised, labor-intensive learning to unsupervised learning

01:14PM EDT - GIE: 20 images/s/W on the Tesla M4

01:14PM EDT - "There's no reason to use FPGAs. There's no reason to design dedicated chips"

01:13PM EDT - (Maxwell powered Tesla cards: http://www.anandtech.com/show/9776/nvidia-announces-tesla-m40-m4-server-cards-data-center-machine-learning )

01:13PM EDT - Recapping the Tesla M40 and M4

01:13PM EDT - Hyperscale is NVIDIA's fastest growing market

01:11PM EDT - Achieving super-human results without super-humans to program them

01:10PM EDT - Side note: bits of this remind me of the hard AI era of the 80s, when at one point true AI was thought to be right around the corner

01:10PM EDT - Talking about how increasingly broad companies are dipping their toes in AI and deep learning

01:08PM EDT - "Cloud platforms of the future are going to be powered by AI"

01:06PM EDT - Jen-Hsun is recapping areas where deep learning has ultimately come up with better algorithms than human-created programs

01:03PM EDT - "Deep learning is a big deal"

01:03PM EDT - "You've heard me talk about deep learning for for the last five years"

12:59PM EDT - Deep learning is key

12:57PM EDT - Microsoft ImageNet has been able to beat a human at image recognition

12:57PM EDT - This year will mark a major year in AI

12:55PM EDT - Up next: AI

12:54PM EDT - Not as capable as Iray VR, but it can handle a single photosphere

12:54PM EDT - Also announcing Iray VR Lite

12:53PM EDT - Jen-Hsun wants to get to the point where he can get out of his car at the office and it'll go park itself underground

12:51PM EDT - (This is on an HTC Vive, for anyone keeping track)

12:51PM EDT - Iray VR rendering of the inside of NVIDIA's new, under-construction headquarters

12:49PM EDT - Using probes to mark out fixed locations. Each probe takes 1 hour on an 8 GPU Quadro setup

12:48PM EDT - Raytracing render for VR applications

12:48PM EDT - Now announcing Iray VR

12:48PM EDT - The Mars demo was running on a Titan, but Jen-Hsun believes that's not enough. Need more performance to better physically simu;ate light

12:46PM EDT - Vendors have been pushing VR as an experience, and this is one such idea

12:45PM EDT - Geeks on Mars

12:44PM EDT - Woz is the first person to try Mars 2030 in VR

12:43PM EDT - Woz would seriously go if it were possible

12:42PM EDT - Jen-Hsun wants to make the Woz the first person on Mars

12:41PM EDT - Steve Wozniak has called in

12:40PM EDT - Demoing Mars 2030 live (though not in VR)

12:37PM EDT - Also in the VR tour, Mars 2030, an 8km^2 reconstruction of the surface of Mars

12:35PM EDT - Roll video

12:34PM EDT - Everest VR will be demoed at the show's VR area

12:33PM EDT - How will VR transform communications, design, and more?

12:32PM EDT - Video games are a very clear use of VR. But what about other fields?

12:31PM EDT - "A brand new computing platform"

12:31PM EDT - Up next: VR

12:30PM EDT - TX1 can process 24 images per second per Watt

12:29PM EDT - GIE is specifically for inference, as opposed to training on cuDNN

12:29PM EDT - NVIDIA wants to boost overall image processing throughput and energy efficiency

12:28PM EDT - New platform: GIE, the GPU Inference Engine

12:27PM EDT - Finally, Jetpack: The Jetson/Tegra X1 software ecosystem

12:27PM EDT - Close partners (JPL partners) have early access to the current testing builds

12:26PM EDT - General release in Q1'17

12:26PM EDT - DriveWorks: SensorFusion, computer vision/detection

12:25PM EDT - VRWorks: VR SLI, Context Priority, Multi-Res Shading

12:24PM EDT - CUDA 8 confirmed to support Pascal

12:23PM EDT - If CUDA 8 is due in June, it stands to reason we may be seeing Pascal around that time in some form

12:22PM EDT - CUDA 8 available in June

12:22PM EDT - ComputeWorks: cuDNN, nvGRAPH, IndeX

12:20PM EDT - DesignWorks: MDL libraries, Optix, etc

12:19PM EDT - Recapping the latest GameWorks features such as voxel accelerated ambient occlusion

12:18PM EDT - This seems to be a bundling of the various NVIDIA SDKs, including GameWorks, DriveWorks, and VRWorks

12:17PM EDT - First up: announcing the NVIDIA SDK

12:17PM EDT - Jen-Hsun will be talking about 5 things: toolbox, deep learning chip, deep learning software, VR, & more

12:15PM EDT - Over 300,000 registered CUDA developers

12:15PM EDT - This despite the fact that they now hold multiple GTCs over the globe

12:15PM EDT - GTC is getting bigger than ever. Twice as large as GTC 2012

12:13PM EDT - Discussing that they do all of this for "you", the audience, and its vast computing needs

12:12PM EDT - Jen-Hsun is now on stage

12:11PM EDT - Self-driving cars, Go, and more

12:11PM EDT - The video theme: AI

12:09PM EDT - Roll video

12:09PM EDT - Lights are dimming. It's showtime

12:07PM EDT - The keynote hall is at capacity, so it's a full house this morning

12:07PM EDT - Everyone is being asked to take their seat

12:05PM EDT - Meanwhile I haven't seen any sign of a car yet, but it would be typical for Jen-Hsun to work a car into his presentation somehow

12:04PM EDT - NVIDIA is indeed running a few minutes late; it sounds like we may start at 9:10 or so

12:04PM EDT - WiFi is being a bit finnicky, but hopefully we'll be okay

12:00PM EDT - Meanwhile someone behind me is discussing the weather. Yesterday it was in the 70s; by tomorrow it's in the 90s. The response from the person next to them: boy, those GPUs sure are hot!

11:59AM EDT - OpenPOWER partners will be holding a keynote tomorrow to discucss the latest advancements in that platform. For NVIDIA it's a big deal as OpenPOWER was previously setup to support NVLink between the CPU and GPUs

11:58AM EDT - On a side note: also taking place in San Jose at the convention center is the show-within-a-show OpenPOWER conference

11:57AM EDT - We may see some consumer news as well, but that's a big if at this point

11:57AM EDT - Some pro visualization (Quadro) news is also likely, given the heavy focus on VR here by the exhibitors

11:57AM EDT - At a minimum I expect Tesla/HPC news on this front, as this is what NVIDIA has focused on in the past, and the HPC market isn't as timing-sensitive

11:56AM EDT - The big news this year will of course be NVIDIA's Pascal architecture, which is scheduled to launch this year

11:56AM EDT - The keynote is scheduled to start at 9am PT, however I suspect we're going to be a few minutes late

11:53AM EDT - Kicking things off as always is the NVIDIA keynote, presented by CEO Jen-Hsun Huang

11:52AM EDT - We're here in sunny San Jose for the 2016 edition of NVIDIA's annual GPU Technology Conference (GTC)

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  • moaklerqt - Tuesday, April 5, 2016 - link

    What are you talking about? The Wifi is working fine in the convention center!
  • crimsonson - Tuesday, April 5, 2016 - link

    He is talking about HIS connection, not yours?
  • moaklerqt - Tuesday, April 5, 2016 - link

    I guess I'll make my humor more obvious next time...
  • soccergirl99 - Tuesday, April 5, 2016 - link

    Is that a question?? :)
  • JamesDean17 - Wednesday, April 6, 2016 - link

    Look how nice for them to let that fat Mac guy experience the Windows PC VR Reality he looked so excited about that Windows experience and he even tells us he definitelly wants to go there to the Windows World of Things. Poor guy I guess he just got sick playing that old 2D Solitaire game on his brand new useless Mac the only available game for his machine.
    He got so excited like he never saw a computer before, well that might be true after all since Macs are more like a fools joke than a computer, 1 April companie fools joke.
    I'm not Chatbor nor Cortana just a human being telling you the truth laugh laugh laugh ...... insert more laugh in here ...... no user input needed ...... this is more laughable than ever.
  • D. Lister - Wednesday, April 6, 2016 - link

    Switch to decaf before you end up with a cardiac episode.
  • Xanavi - Friday, April 15, 2016 - link

    He personally designed the Apple II, including hardware and software. This guy pushed technology and progress forward during his time. Thinking of the wrong person fool.
  • osxandwindows - Tuesday, April 5, 2016 - link

    Go nvidia.
  • xthetenth - Tuesday, April 5, 2016 - link

    You just have all the bad opinions don't you?
  • niva - Tuesday, April 5, 2016 - link

    He most certainly does not have all the bad opinions.

    This doesn't answer the questions whether all of his opinions are bad though!

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