Vertiv launches AI-optimized reference designs featuring NVIDIA technology and Dassault Systèmes software, promising 10x faster configuration and a 30% boost in AI token processing speeds.
Vertiv is leveraging its partnership with NVIDIA to launch pre-engineered reference designs that significantly accelerate data center deployment. By integrating Dassault Systèmes' 3DEXPERIENCE platform, Vertiv enhances its infrastructure capabilities, aiming to increase AI token output by up to 30% for its clients.
The pre-engineered reference designs enable configuration and validation up to 10x faster.
NVIDIA's technology serves as the foundational hardware for Vertiv's new reference designs, positioning the company at the center of this infrastructure deployment strategy. The collaboration at GTC Berlin highlights the ongoing expansion of NVIDIA's AI ecosystem into specialized data center cooling and power management solutions.
It marks the unveiling of a collaborative effort between Vertiv, NVIDIA, and Dassault Systèmes to streamline data center infrastructure deployment.
Dassault Systèmes is expanding its footprint in the data center market by integrating its 3DEXPERIENCE platform into Vertiv's new reference designs. This partnership allows Dassault to apply its industrial software expertise to the rapidly growing AI infrastructure sector.
Dassault Systèmes provides the 3DEXPERIENCE platform, which is integrated into the pre-engineered designs to support faster configuration and validation.
Polar is deploying Vertiv's approach at a Norway site, indicating early adoption of the new AI infrastructure solution.
Vertiv Holdings Co. unveiled new pre-engineered reference designs integrated with NVIDIA's AI infrastructure to accelerate data center deployment. The solution leverages Dassault Systèmes' 3DEXPERIENCE platform to increase AI token output by up to 30%, marking a significant efficiency gain for industrial data center operators.
The solution utilizes pre-engineered designs and NVIDIA-integrated infrastructure to increase AI token output by up to 30% while streamlining deployment.