AI Bridging Cloud Infrastructure (ABCI) ABCI is an open innovation platform with computing resources of more than hundred petaflops for world-class AI R&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.
Bridging Infrastructure
AI Infrastructure
Common public platform for AI applications, services, and infrastructure designs, aiming at technology transfer through industry and academia collaboration Open hardware and software architecture with accelerator support based on commodity devices
Extreme computing power with more than hundred petaflops tailored for AI, ML (Machine Learning) and DL (Deep Learning) 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
Multi-petabyte-class shareable big data storage for AI R&D collaboration
ABCI open innovation platform Algorithm
Investment for AI R&D
Collaborative R&D Industry and Academia
AI Cloud design, construction, and operation Launching business
AI Service Developers/Providers ML/DL Framework Developers
Various AI companies
Big Data Holders
Startups
Computing Power
Common AI Platform Common Modules Common Data/Models
Big Data
Technology transfer IDC Vendors
Cloud Infrastructure TARGET SPEC. Ultra-dense IDC design from ground-up on lightweight “warehouse” building with substantial tolerance Wide-ranging Big Data and HPC standard software stacks for cloud ecosystem Extreme green with ambient warm liquid cooling, large Liion battery storage, high-efficiency power supplies, etc. Advanced cloud-based operation including dynamic deployment, container-based virtualized provisioning, multitenant partitioning, automatic failure recovery, etc.
>130 PF (HP or SP) > 20 PB Storage < 3 MW Power < 1.1 Avg. PUE 1Q 2018 (Plan)
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 ...
Build an initial plan for deployment and migration activities given customer's requirements and timelines. As part of the planning, a training plan will be delivered.
Create an inventory of potential workloads targeted for migration to Google Cloud. Document key characteristics of these workloads to evaluate in preparation for future deployment. First Movers Assessment. Prioritize and select âfirst moverâ appl
Safe Software. Development. Access Management of End User Data. Encryption of Inter-. Service Communication. Authentication. Login Abuse Protection. Google .... infrastructure RPC (e.g. only configure integrity-level protection for low value .... sec
default encryption to all infrastructure RPC traffic inside our data centers. Access Management of End User Data. A typical Google service is written to do something for an end user. For example, an end user may store their email on Gmail. The end us
design and maintain infrastructure capable of managing the full lifecycle of these implementations.Engineers. Justin Garrison and Kris. Nova reveal hard-earned.