SUSE AI expands capabilities to support enterprises

Key additions include Artificial Intelligence (AI) specific observability, enhanced security with guardrails and support for implementing agentic workflows.

SUSE, a global provider of open and secure enterprise-grade solutions, has announced new capabilities for SUSE AI, a platform designed for deploying and running AI workloads. These updates aim to assist customers in managing the pace of AI innovation, focusing on cost predictability, security, and adaptability to evolving business requirements.

“Through close collaboration with our customers and partners since the launch of SUSE AI last year, we've gained additional and invaluable insights into the challenges of deploying production-ready AI workloads,” said Abhinav Puri, General Manager Portfolio Solutions & Services at SUSE. “This collaborative journey has allowed us to bolster our offerings and continue to provide customers strong transparency, trust, and openness in AI implementation.”

The updated product offers insights into AI workload management, monitoring Large Language Model (LLM) token usage, and Graphics Processing Unit (GPU) performance, as well as enhanced support for agentic workflows. With improved security features, including guardrails for LLMs, these changes aim to address the ethical and regulatory concerns enterprises face when incorporating AI into their systems.

“AI technologies are evolving at a rapid pace, with new models and components being released virtually every day,” said Manuel Sammeth, Managing Director at FIS-ASP GmbH. “With SUSE AI, we are able to help our customers as well as internal business units innovate in secure private AI environments while retaining full control of their sensitive data.”

As part of the new release, SUSE AI enables:

Agentic AI Workflows

The platform now supports the secure implementation of agentic AI workflows, allowing customers to proactively make decisions and take actions. This includes tools for developing these workflows, which help in focusing on higher-value tasks and achieving quicker decision-making.

Enhanced Observability

Enterprises can now gain real-time visibility into their AI systems. New observability features will reveal metrics such as LLM token usage and GPU performance, aiding in cost prediction and system optimization.

Improved Security

SUSE AI enhances data protection and compliance throughout its operations. It includes a blueprint for implementing LLM guardrails, facilitating ethical AI practices and improving security and transparency.

Expanded AI Library

The SUSE AI Library will include validated open-source AI components to support faster innovation within enterprises. This helps organizations achieve their objectives more efficiently.

For further details, visit the SUSE AI webpage.