Baidu to Announce Kunlun AI Chip

The CPU is designed to perform edge computing on the device itself and cloud through data centers
06 July 2018   219

At the annual Beijing conference for developers Baidu Create AI, the company disclosed details about the Kunlun processor for computations related to artificial intelligence. In addition, the release of the platform Baidu Brain 3.0 with new "smart" services was announced.

Kunlun Announcement
Kunlun Announcement

According to the company representatives, the processor is designed to perform edge computing on the device itself and cloud through data centers. It is known about two models of chips: 818-300 for training algorithms and 818-100 for outputting the result.

It is assumed that Kunlun will be able to perform up to 260 ter-operations per second. The memory bandwidth is 512 GB per second. The company did not specify a specific release date.

In addition to Baidu, many technology companies work on their own chips for intelligent systems, for example, Alibaba or Tesla, and Intel and AMD have already presented specific solutions.

In the third version of the Baidu platform, developers added 50 new AI services, from computer vision systems and natural language processing to face recognition software. In addition, the update improves the semantic understanding of input data - models better capture the meaning of text, video and images.

DuerOS Presentation
DuerOS Presentation 

The company also upgraded the DuerOS service for conversational AI technologies to version 3.0. It now supports home devices - televisions, smart speakers or clocks, as well as mobile devices. Thus, developers can use their open SDK and API to create their own voice control systems.

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   80

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.