Tanium Strengthens Management of NVIDIA Local AI Infrastructure

Tanium said in an announcement on the 9th that it will collaborate with NVIDIA as the growing use of AI in enterprises increases the importance of security. The partnership is aimed at expanding local AI infrastructure for enterprise endpoint management capabilities and extending existing endpoint management capabilities to AI computing environments.

The collaboration covers RTX Spark, DGX Station, DGX Station for Windows, and DGX Spark. RTX Spark is NVIDIA's new Windows AI PC platform, while DGX Station is the most powerful desk-side AI supercomputer. DGX Station for Windows is a recently announced desk-side AI supercomputer for Windows, and DGX Spark is a compact AI supercomputer.

Through this collaboration, Tanium's real-time monitoring, control, and compliance management capabilities will be applied to these AI computing platforms. As a result, enterprises will be able to manage the operational status and security posture of local AI systems in an integrated way.

Tanium said its platform can manage AI-class systems with the same level of real-time visibility, control, and compliance capabilities that it provides across traditional endpoints. It added that this closes the gap between the management level IT departments expect across all endpoints and the unmanaged areas in the AI computing space.

Tanium said the direction of AI computing is shifting from data centers to desktops, but most management tools have not kept up with that change. NVIDIA DGX Spark runs on NVIDIA DGX OS, an Ubuntu-based Linux distribution for AI workloads. As a result, Windows- and x86-based tools centered on existing enterprise management platforms have faced limitations in managing NVIDIA DGX Spark.

Accordingly, Tanium's Autonomous IT platform was listed in NVIDIA's official DGX Spark Enterprise Lifecycle Integration Guide, and validation for the NVIDIA DGX OS environment has been completed. This means patch management, asset inventory, configuration compliance, and process management can be used from day one without a separate custom build. Current support covers DGX Spark and RTX Spark, and support will be expanded to DGX Station and DGX Station for Windows in the future.

Tanium CTO Harman Kaur said NVIDIA's vision for AI computing is introducing a new type of endpoint into enterprise environments. He identified the components of this new endpoint type as a new hardware architecture, a new operating system, and locally running AI agents. He added that IT and security operators need real-time visibility and control across the entire endpoint environment.

Harman Kaur said Tanium is extending those capabilities to NVIDIA's AI endpoints. He explained that blind spots are unacceptable because attacks move at machine speed.

Tanium announced the features at NVIDIA GTC Berlin, which is being held from October 20 to 22 this year. The announced features were validated through lab tests using supported NVIDIA hardware. The features are fleet-wide resource usage monitoring, runtime control, and large-scale agent deployment.

Chris Marriott, vice president of NVIDIA's enterprise platform division, said NVIDIA DGX and RTX platforms provide a powerful local AI environment for enterprise developers and employees, and that the platforms support the building and execution of AI within existing work workflows. He added that as the scope of integration based on its collaboration with Tanium expands into IT operations, it will help enterprises smoothly integrate these platforms into existing infrastructure management processes even when introducing large-scale AI computing resources.

Source: TECHWORLD · Kim Hye-jin
Original: https://www.epnc.co.kr/news/articleView.html?idxno=409443

References

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