Japan will build a 130 petaflop AI cloud infrastructure supercomputer in 2017

Japan’s Ministry of Economy, Trade and Industry will spend 19.5 billion yen ($173 million) to build a 130 petaflop supercomputer in 2017. It will be called the AI Bridging Cloud Infrastructure (ABCI).

The US is also planning to build a 200-250 petaflop supercomputer dedicated for Artificial intelligence in 2017

ABCI will be an open innovation platform with computing resources of more than hundred petaflops for world-class AI R and D. Through industry and academia collaboration, Algorithms, Big Data, and Computing Power will be leveraged in a single common public platform.

ABCI will rapidly accelerate the deployment of AI into real businesses and society.

It will offer extreme computing power with more than hundred petaflops tailored for AI, ML (Machine Learning) and DL (Deep Learning)

With deployment planned for the AIST facility at the Kashiwa Campus of the University of Tokyo, the machine will be constrained by power and available space. The AIST design document calls for extreme energy efficiency in the 3 Megawatt machine with a PUE rating of 1.1. With additional budget, power, and space, Matsuoka claims the architecture could scale to 2 Exaflops at just 30 Megawatts.

Prime Minister Shinzo Abe has called for companies, bureaucrats and the political class to work more closely together so Japan can win in robotics, batteries, renewable energy and other new and growing markets.

Cloud Infrastructure

Big Data and HPC integrated in modern design for advanced data analytics, scientific simulation, etc.
Ultra high bandwidth and low latency in memory, network and storage for accelerating various AI workloads
Open hardware and software architecture with accelerator support based on commodity devices
Wide-ranging Big Data and HPC standard software stacks for cloud ecosystem
Multi-petabyte-class shareable big data storage for AI R and D collaboration
Advanced cloud-based operation including dynamic deployment, container based virtualized provisioning, multitenant partitioning, automatic failure recovery, etc