SUSE Launches SUSE AI: Simplifying Generative AI Application Development

SUSE AI (photo: SUSE)

JAKARTA - SUSE, a provider of innovative, open, and secure enterprise solutions, announced the availability of SUSE AI, a platform for implementing and running Generative AI (GenAI) applications.

As an integrated cloud native solution, SUSE AI enables access to large language models (LLMs), and gives companies full control over their AI solutions with data freedom and sovereignty.

SUSE AI was developed with input from the SUSE AI Early Access Program, which engages customers and partners with SUSE GenAI experts, to create a foundation for secure and compliant generative AI in the enterprise environment.

"AI has tremendous potential, but without adequate attention, AI can also cause harm and damage reputations," said Abhinav Puri, Vice President of Portfolio Solutions at SUSE in a written statement quoted Tuesday, November 26.

Abhinav also said that SUSE AI is here to address security and compliance challenges within the enterprise, while enabling companies to run private GenAI solutions easily.

"As the value and need for GenAI becomes more apparent, we see many customers facing compliance risks. SUSE’s approach to AI, embodied in the SUSE AI solutions and the SUSE AI Early Access Program, helps customers address these challenges,” he continued. The advantages of SUSE AI include:

Well-designed security: SUSE AI provides security and certification at the software infrastructure level and tools that provide zero trust security, templates, and playbooks for compliance.

Trust from all angles: With SUSE AI, customers can trust their AI solutions - trust the security of the platform, trust that the data generated is accurate, and trust that their personal data and IP remain confidential.

Choice: SUSE AI gives customers choice by providing a secure platform where they can choose AI components. Customers have full control over platform optimization and development, and the flexibility to choose and deploy large language models (LLMs).