Nvidia to Present Turing Graphic Architecture

Simultaneously with the announcement of NVIDIA Turing, Jensen Huang presented the first video cards built on the new architecture
15 August 2018   471

At the SIGGRAPH computer graphics conference in Vancouver, NVIDIA CEO Jensen Huang talked about the company's new development - the GPU architecture of NVIDIA Turing, which supports hybrid rendering. This technology combines ray tracing in real time, machine learning models, simulation and rasterization. The first products based on Turing will appear on the market in the fourth quarter of 2018.

The new development of NVIDIA has received support for ray tracing in real time, which is provided by special processors - RT-cores. They accelerate the processing of light and sound in a voluminous environment up to 10 Gigarays per second, as well as ray tracing calculations 25 times compared to the previous Pascal architecture.

In addition, NVIDIA Turing is equipped with tensor cores to improve the operation of deep neural networks, which perform up to 500 trillion tensor operations per second. This performance is used by the new NVIDIA NGX SDK to integrate graphics, sounds and video into applications with trained neural networks.

The new streaming multiprocessor, equipped with video accelerators based on Turing, adds an integer execution block in parallel to the data channel with a floating point and a new unified cache architecture with twice the bandwidth as compared to Pascal. GPUs equipped with 4608 CUDA cores provide up to 16 trillion integer calculations per second in parallel with floating point operations.

Simultaneously with the announcement of NVIDIA Turing, Jensen Huang presented the first video cards built on the new architecture: Quadro RTX 8000 for $ 10,000, Quadro RTX 6000 for $ 6300 and Quadro RTX 5000 for $ 2300. In addition, the company's CEO has announced the NVIDIA Quadro RTX server for on-demand rendering in large data centers. Among the main characteristics of new products:

  • from 16 GB of memory type GDDR6 from Samsung, which supports the processing of complex graphics resources like movies in 8K format;
  • NVIDIA NVLink technology for connecting two video cards and getting a cluster capable of transmitting data at 100 GB / s, and also having up to 96 GB of memory;
  • native support for VirtualLink technology for unified connection of VR devices via USB Type-C;
  • graphical tools Variable Rate Shading, Multi-View Rendering and VRWorks Audio for advanced VR applications.

During the conference, the company also published training materials on the use of NVIDIA RTX technologies and Microsoft DXR extensions for DirectX for developers wishing to achieve cinematic quality graphics in their gaming projects.

Microsoft AI to Win Greenhouse Competition

Five AI systems from different teams took part in cucumber growth competition
17 December 2018   64

From August to December, five teams from technology companies and universities from different countries participated in the competition for growing cucumbers in autonomous greenhouses. Irrigation, fertilizing, temperature control and other factors were controlled by artificial intelligence. The best result was shown by the Sonoma team from Microsoft Research. In addition, it reached a yield of 50 kilograms of cucumbers per square meter.

The results of the participants were evaluated by three parameters:

  1. net profit (market value of the harvested crop minus water, energy, and labor) was 50% of the final estimate;
  2. the use of artificial intelligence (reliability of the algorithm, the effectiveness of its strategy) - 30%;
  3. system stability (water, carbon dioxide and energy per kilogram of cucumbers) - 20%.

The Microsoft Research team achieved the highest yield and net profit. The second place was taken by the team from Tencent - their algorithm showed the best strategy for the use of resources. Third place went to The Croperators team from Delphy and AgroEnergy.

The jury noted that the control group of agronomists, which grew cucumbers on their own, used less electricity than any of the teams with AI. At the same time, it lost only to the team from Microsoft in terms of net profit.

According to the founders, the purpose of the competition was not to start building autonomous greenhouses around the world. The organizers wanted to know at what stage of development artificial intelligence is and what is its advantage over people in the agrarian sphere.