Optimizing AI Training with Solidigm SSDs and GIGABYTE Servers

AI Training Performance Solution Brief

Solidigm, a leading global provider of innovative NAND flash memory units, and GIGABYTE, industry innovator and leader in the enterprise computing market, align to face the GPU utilization challenges that organizations face today. Customers must navigate increasingly complex hurdles as they scale their AI infrastructure efficiently, maximize their GPU utilization, and maintain critical data throughput for AI training clusters. While storage plays a crucial role in rapidly delivering training data to keep pace with high-performance GPUs, overall system architecture—including networking, memory hierarchies, and data preprocessing pipelines—also significantly impacts training efficiency. It’s essential to addressing these challenges holistically to minimize bottlenecks, optimize hardware utilization, and reduce operational costs. 

For businesses that aim to scale their AI performance, partnerships help overcome the challenge to fully leverage their hardware investments and maximize training performance. Focused options from GIGABYTE, along with Solidigm SSDs, allow customers to find new and improved ways to ensure they reach their goals with AI training. GIGABYTE and Solidigm collaborated to address these challenges by integrating the high-performance D7-PS1010 with high-capacity D5-P5336 SSDs. By utilizing these SSDs in the GIGABYTE solution, our collaboration demonstrated significant improvements in GPU utilization and overall training efficiency. 

Discover how Solidigm and GIGABYTE are redefining AI training performance through cutting-edge storage and system integration. Upgrade your AI infrastructure to unlock new levels of efficiency and scalability. To learn more, download the Solidigm + GIGABYTE Solution Brief.