With GPU demand outpacing enterprise deployment capacity, Lenovo has launched GPU Advanced Services to help customers boost workload performance by up to 30% and accelerate AI adoption.

“Enterprises are moving rapidly to operationalize AI, but many still struggle with the complexity of GPU infrastructure deployment,” says Steven Dickens, CEO and principal analyst of HyperFRAME Research.  “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.”

As AI adoption surges, enterprises need scalable GPU infrastructure to support high-performance workloads. 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.

“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,” says Linda Yao, vice-president and GM: hybrid cloud and AI solutions at Lenovo.

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 stack 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.

 

GPU Advanced Services

GPU Advanced Services includes three modular options that can be purchased individually or combined, giving enterprises access to Lenovo experts at the stage that best fits their GPU adoption journey and avoiding a one-size-fits-all bundle.

  • GPU Plan & Design Services– For organisations just beginning their AI journey, this service provides workload assessment, solution sizing, technology selection, and architecture planning to establish the right foundation.
  • GPU Implementation Services – For teams ready to deploy, Lenovo experts deliver architecture documentation, stack configuration, deployment guidance, and knowledge transfer so systems are set up correctly and efficiently.
  • GPU Managed Services – For enterprises running production AI, this service delivers ongoing optimization, updates, and recovery support, including patching and compliance, across hybrid and on-premises GPU environments.

Enterprises can accelerate their AI journey with Lenovo AI Fast Start, rapidly identifying and validating use cases before scaling confidently into production with GPU Advanced Services.