Facing significant obstacles arising from insufficient GPU resources, this industry
leader in artificial intelligence (AI) development sought out a solution to improve their capability to innovate, scale and compete in market sectors that rely on high-performance computing (HPC), AI, and machine learning (ML).

The company needed the ability to process large AI jobs in Google Cloud using Google GPU nodes to expedite their AI training models and inferencing, supporting large language models and predictive analytics. Without extending their computing power, the organization faced significant risk to their continued growth and success in:

• Product development
• Operational efficiency
• Time-to-market
• Customer experience