“Enterprises are moving rapidly to operationalize AI, but many still struggle with the complexity of GPU infrastructure deployment,” Steven Dickens, CEO and Principal Analyst of HyperFRAME Research.
As AI adoption surges, enterprises need scalable GPU infrastructure to support high-performance workloads. Lenovo today launched GPU Advanced Services to help customers boost workload performance by up to 30% and accelerate AI adoption.
Lenovo GPU Advanced Services provide guided support to help enterprises design, deploy, and operate GPU-based systems efficiently. Taking a services-first approach, Lenovo enables enterprises to maximize existing investments and scale AI without being locked into proprietary stacks.
Enterprises can achieve these gains through optimized GPU deployment and tuning delivered by Lenovo experts, based on internal performance evaluations. For businesses, that means faster time-to-market for AI innovation and reduced infrastructure costs by avoiding underutilized GPUs.
“Lenovo’s approach addresses this challenge by helping IT teams deploy faster, optimize performance, and scale confidently, which is exactly what the market needs as AI use cases become mainstream.” Dickens added.
GPU Advanced Services align with validated Lenovo Hybrid AI Advantage™ solutions such as the Lenovo Hybrid AI 285 platform, enabling scalable deployment from a single node to multi-nodes with customizable AI software stacks and services. Designed for high-performance workloads such as generative AI, real-time video processing, and content creation, these services address critical gaps in in-house expertise, infrastructure complexity, and performance tuning.
“With certified experts and deep platform integration, Lenovo helps enterprises deploy GPU infrastructure faster and run workloads more reliably, reducing risk and unlocking the full potential of their AI investments,” said Linda Yao, VP and General Manager, Hybrid Cloud & AI Solutions, Lenovo.
