02:00AM EDT – self-driving car platforms
02:00AM EDT – Build a v.fast supercomputer
01:59AM EDT – Building a supercomputing infrastructure
01:59AM EDT – work with the government and research institutions
01:59AM EDT – 10-year collab
01:59AM EDT – Focusing on manufacturing, healthcare, smart city and transportation
01:59AM EDT – Taiwan research into AI collaboration
01:58AM EDT – NVIDIA’s ‘ i am ai ‘ campaign
01:58AM EDT – Flying cameras/drones with AI
01:56AM EDT – The two typical go-to demos
01:56AM EDT – Showing contruction and agriculture uses on video
01:56AM EDT – Apply intelligent machines to drive every industry
01:55AM EDT – ISAAC is the third phase of the AI revolution
01:54AM EDT – Put the hardware and software in to the robot and it should just work
01:53AM EDT – Teaching robots in virtual reality in the server – test the hardware in the simulation
01:52AM EDT – Visual Odometry
01:52AM EDT – DL to learn depth
01:52AM EDT – Environment depth
01:51AM EDT – Hand Pose and finger skeletal tracking
01:51AM EDT – Eye tracking
01:51AM EDT – Speech recognition on device. Latency is key
01:50AM EDT – Speech
01:50AM EDT – Facial recognition and tracking
01:50AM EDT – Gesture recognition
01:50AM EDT – POSE estimation – infer the pose
01:50AM EDT – ISAAC IMX (Intelligent Machine Acceleration Applications)
01:49AM EDT – On top of Jetson Xavier, have DL applications
01:48AM EDT – Jetson Xavier, early access in August
01:47AM EDT – 8 high-end ARM cores, stereo vision, 30W
01:47AM EDT – Small dev kit
01:46AM EDT – Comes in small module
01:46AM EDT – Production silicon is here
01:46AM EDT – Single largest processor project in NV history
01:45AM EDT – 12nm FF
01:45AM EDT – Computing platform
01:44AM EDT – Announcing the Jetson Xavier Devkit $ 1299
01:42AM EDT – Standard self-driving video time
01:40AM EDT – Pegasus for driverless taxis
01:40AM EDT – (so not post-Volta?)
01:40AM EDT – Drive Pegasus with dual Xavier and dual Volta
01:40AM EDT – Different versions of hardware for different levels of compute
01:39AM EDT – Working on self-driving car
01:38AM EDT – DLA is NVIDIA’s version of the TPU
01:38AM EDT – New deep learning accelerator: DLA
01:37AM EDT – Designed for ASIL-D
01:37AM EDT – 8-core ARM CPU, 512 CUDA Cores
01:36AM EDT – Xavier, 9B transistors
01:36AM EDT – Delivery, Industrial Drones, Agriculture, Pick-and-place, Logistics, Manufacturing
01:35AM EDT – We used to had to go out to get food. Now food comes to us
01:35AM EDT – enabling intelligent machiens
01:35AM EDT – NVIDIA focuses on the brain
01:34AM EDT – In order to do this, need three things: rich sensors, high perf/low power AI brain, smart actuators
01:34AM EDT – Third phase is about AI to be able to come out of the computer into the world
01:32AM EDT – This demo requires four volta GPUs
01:32AM EDT – Deep learning with ray tracing is the way forward
01:31AM EDT – >Everyone’s phone is going off because Taiwan is doing an air raid drill
01:30AM EDT – Now doing a real-time demo
01:27AM EDT – bringing in ray tracing 5-10 years earlier than expected
01:27AM EDT – RTX is basically the future of gaming as well
01:27AM EDT – RTX – rasterization with real-time ray tracing with AI prediction
01:26AM EDT – >I assume that’s the same as tracking people/vehicles across a city. How the city uses that is up to them
01:26AM EDT – Metropolis is a software plaform that allows billions of images from live video to detect areas of concern
01:25AM EDT – Taking RAW data for AI implementation in medical
01:25AM EDT – Clara is a computing system with a software stack for medical imaging, construction, and detection
01:24AM EDT – Supercomputing (CUDA), AI, Drive, NVIDIA Clara, NVIDIA Metropolis, NVIDIA RTX
01:24AM EDT – Focused on six large industries for large GPU servers
01:23AM EDT – Hardware, software, deployment, ecosystem
01:23AM EDT – AI revolutionizing large markets
01:23AM EDT – All worlds leading server makers support NVIDIA
01:23AM EDT – HGX-T1, HGX-T2, HGX-I1, HGX-I2, SCX-E1, SCX-E2, SCX-E3, SCX-E4
01:22AM EDT – Architectures of all sizes and shapes
01:22AM EDT – Different architectures for different computing models
01:20AM EDT – “Hyperscale computing element”
01:20AM EDT – Form factor is as important as the ATX form factor was for desktop computing
01:20AM EDT – >I can’t see USB ports
01:19AM EDT – at the bottom
01:19AM EDT – Six switches at the bottom for the 8 GPUs
01:18AM EDT – Made available for hyperscale datacenters
01:18AM EDT – Also DGX-2 becomes HGX-2
01:18AM EDT – Highest Inference Throughput
01:18AM EDT – Fastest Inference
01:18AM EDT – Fastest at scale
01:18AM EDT – Fastest single node
01:17AM EDT – Fastest single chip
01:17AM EDT – Fastest single chip
01:17AM EDT – Lots of speed records
01:17AM EDT – 300 servers replaced with one node
01:16AM EDT – Same model to compute one vs 16 with DGX-2
01:16AM EDT – All 16 GPUs can communicate at the same time
01:16AM EDT – Requires software that can do this
01:15AM EDT – Requires high levels of communication
01:15AM EDT – Teaming 16 GPUs to do a single model
01:15AM EDT – Scale up is more difficult
01:15AM EDT – Scale out vs Scale up
01:15AM EDT – Single model per GPU, or One model across system
01:15AM EDT – Parallel computing in two ways on DGX-2
01:14AM EDT – 2 PFLOPS in one box
01:14AM EDT – 125 TFLOPS of Tensor Core Perf in one chip
01:14AM EDT – 32GB of HBM
01:14AM EDT – Volta is 21 B transistors at 12FF
01:14AM EDT – Volta Tensor Cores
01:14AM EDT – Need to compute at a large dynamic range
01:13AM EDT – V100 fuses computational with high precision numerics and deep learning
01:13AM EDT – Announced before. 16x V100 GPUs
01:13AM EDT – Now showing DGX-2
01:13AM EDT – Create the ecosystem to take systems over the workd
01:12AM EDT – Phase 1 is for the industry to create the fundamental computing platform, hardware and software, and the tools
01:12AM EDT – Today, talking about 3 phases talking about this new computing model
01:12AM EDT – We have to advance computing performance by at least the same scale – we do it with GPU computing
01:12AM EDT – We are expecting application demand to increase over 1000 in 10 years
01:11AM EDT – “What kind of computer do you have to build to enable software to write software?”
01:11AM EDT – In time, software will write software
01:10AM EDT – DL and AI driving more compute than ever
01:10AM EDT – More demand for computing horsepower than before
01:10AM EDT – >Bifurcation of single thread vs multi
01:10AM EDT – How computers are made has to change – how software will be used has to be incredible
01:09AM EDT – Two powerful forces coming to change computing architecture
01:09AM EDT – New era of computing coming
01:08AM EDT – ‘This year will be pretty amazing for GeForce’
01:08AM EDT – This fall will see three games: COD Black Ops 4 (with Battle Royale mode), Battlefield 5, Shadow of the Tomb Raider
01:07AM EDT – GTX class GPUs went from 17% of NV to 50% in 5 years
01:07AM EDT – Developers have a larger install base for GPUs and gaming
01:07AM EDT – Game consoles create a positive feedback system
01:06AM EDT – >Gaming is bigger than film
01:06AM EDT – Production value of games also increasing
01:06AM EDT – +10M weekly gamers in 8 months
01:06AM EDT – In 8 months, PC gaming market increased due to Battle Royale gaming type
01:05AM EDT – always reinventing itself
01:05AM EDT – New content continues to get richer
01:05AM EDT – Always new things you can do with it
01:05AM EDT – PC Gaming is doing great and is vibrant
01:04AM EDT – Last year we had 8 MaxQ. Now we have 26
01:04AM EDT – The market wants thin and light notebooks
01:01AM EDT – Gaming notebooks at 18 mm, 5 lbs, GTX 1080
01:01AM EDT – Last year went for thin form factor GPUs with MaxQ
01:01AM EDT – Second topic is AI, Third is AI implications, Fourth is a new market NVIDIA is pursing
01:00AM EDT – Technology demand for the processors is growing exponentially
01:00AM EDT – First update is on GeForce
01:00AM EDT – We know the future of computing is going to look different
01:00AM EDT – Japan, China, Europe, Israel, Washington DC etc
01:00AM EDT – More GTC spin-out events
12:59AM EDT – GTC became world’s largest developer conference
12:59AM EDT – Last week we had GTC Taiwan
12:59AM EDT – Jensen is handing out more cookies
12:58AM EDT – OK here we start
12:58AM EDT – Looks like the V100 being used
12:56AM EDT – Sorry, Pegasus
12:56AM EDT – Isn’t Xavier meant to have two next-gen GPUs? It looks like it has the older GPUs on for now
12:55AM EDT – Up on the stage is an HGX-2 (OEM version of DGX-2), a V100, Xavier
12:54AM EDT – Disclosure: I haven’t had lunch. The sandwich was green. I haven’t had time to eat it yet.
12:52AM EDT – Jensen approached the press crowd outside the event with sandwiches and cookies for lunch. Easy PR move
12:52AM EDT – One wonders what NVIDIA will be announcing
12:52AM EDT – Surprisingly everything on stage is not under wraps.
12:51AM EDT – We’re here at NVIDIA for our first Live Blog of Computex. Event starts in a few minutes.