Facing big data challenges
AI
Delivers powerful AI potential
Analytics Real-time analytics streaming
Trust
100% data security
Efficiency
Runs without the need for datacenter
Edge computing
Edge computing allows you to store, process and analyze data directly at the source without the need for a datacenter. This brings speed, agility and efficiency enabling:
- AI capabilities to improve your business operations
- Real-time data analysis for predictive and prescriptive business operations and solutions
- Greater speed to market
- Greater efficiency without the need for datacenter resources
- Full data security and compliance
BullSequana Edge Server
BullSequana Edge is optimized for AI inference at the edge. It is fully autonomous from datacenters, so it can be installed almost anywhere: inside or outside (it has an optimal performance from 0° to 48°). It can be mounted on a wall, desktop, on a tabletop or in a rack. It is equipped with an Intel Xeon D CPU and up to 2 Nvidia T4 GPUs.
Edge Computer Vision
Our Edge Computer Vision is a complete environment of solutions powered and run on BullSequana Edge, dedicated to deliver computer vision capabilities. This environment can be fully managed and supported by Atos. It features Codex AI Vision, Atos’s computer vision solution and the best-in-class AI solutions from our partner ecosystem.
Edge Data Analytics
Our Edge Data Analytics enables organizations to improve their IoT business models with predictive and prescriptive solutions. It is a complete environment dedicated to real-time streaming analytics and run on BullSequana Edge. Edge Data Analytics enables sensor analysis with real-time ingestion and monitoring without interruption.
Edge Data Container
Our Edge Data Container is an all-in-one solution, serving as a decentralized IT system, running at the edge. It is a secure, highly standardized, industrial solution. It can run autonomously in non-datacenter environments with no need for a white room or local IT teams to operate. It can embed Atos Edge Computer Vision, Atos Edge Data Analysis applications and other production applications.
Decarbonization
In the coming years, all companies are likely to be subject to strict rules on C02 reduction. The use of Edge Computing can be effective in reducing the energy footprint of digital. This is achieved by reducing the need for datacenters and processing data at the source.
Find out more
Edge blogs from the Atos expert community
Artificial intelligence and Edge computing bring tangible benefits to customers and retailers.
By Damien Faure
Interactive paper: What is edge computing?
As businesses are facing the big data wave, the need for edge computing is growing. It enables IoT analytics in real time, without latency, even with low connectivity. This technology is vital for business to remain competitive in a fast-paced environment.
Key contacts
Mehdi Kasmi
Head of Global Sales & Vertical Offers – Edge & AI
Damien Faure
Head of Edge & Data Analytics
Gert Prieber
Head of Global Product – Edge & AI
Matthieu Schmit
Head of Global Presales – Edge