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First infrastructure agnostic solution on market
Using Atos Codex AI Suite, apps can be deployed and relocated on multiple complementary environments:
§ Cloud: on a wide variety of public Clouds, including AWS, Azure and Google Cloud, with which Atos recently announced a global agreement,
§ On-premises: on any server infrastructure, including on Atos’ BullSequana S server, its BullSequana X exascale-ready supercomputer and
§ Edge computing: on Atos’ future edge computing box, one of the first of its kind worldwide, which will enable businesses to extract and process valuable insight from data in real-time, close to the data source, to transform it into knowledge to support instantaneous decision-making while reducing costs. This break-through machine has a ruggedized design, allowing it to be used in any type of environment.
“This software suite is a new step forward to support our customers in their own digital transformation. Atos Codex AI Suite tackles new enterprise, scientific and industry challenges, such as precision medicine, advanced prescriptive maintenance and prescriptive security, with a new generation of cognitive applications, capable to address complex functions. It paves the way to new application domains and helps our customers to increase their business opportunities,” says Arnaud Bertrand, SVP, Strategy and Innovation BDS at Atos.
Key features and benefits:
§ Accelerates time-to-market: Using Atos Codex AI Suite’s secure, shared environment data scientists are able to use even the most complex applications by using qualified components, applications and trained models to improve quality and rapidly develop applications.
§ Delivers affordable performance: Atos Codex AI Suite delivers optimal performance at the lowest cost, as only the most relevant resources are allocated. Cloud resources are used whenever possible and high-performance resources only when necessary.
§ Enables High-Performance Computing (HPC) and AI convergence: HPC businesses can harness the benefits of AI, overcoming the limits of traditional simulations, to develop new applications in sectors such as precision medicine, prescriptive security and person recognition
§ Runs on multiple environments: Cloud or on-premises to ensure fast allocation of resources and applications at any time.
