Lenovo has revealed GPU Advanced Services, a suite of solutions designed to help enterprises optimize GPU infrastructure, improve workload performance by up to 30%, and accelerate AI adoption. With demand for GPU resources outpacing enterprise deployment capacity, Lenovo’s services aim to reduce infrastructure costs and improve time-to-market for AI-driven innovations.
“Enterprises are moving rapidly to operationalize AI, but many still struggle with the complexity of GPU infrastructure deployment,” said Steven Dickens, CEO and Principal Analyst at HyperFRAME Research. “Lenovo’s approach helps IT teams deploy faster, optimize performance, and scale confidently — exactly what the market needs as AI becomes mainstream.”
Scalable, Services-First Approach to AI Infrastructure
Lenovo GPU Advanced Services provide enterprises with guidance to design, deploy, and operate GPU-based systems efficiently. By focusing on services-first, Lenovo allows organizations to maximize existing investments and scale AI without being locked into proprietary platforms.
“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 of Hybrid Cloud & AI Solutions at Lenovo.
The services align with validated Lenovo Hybrid AI Advantage™ solutions, such as the Lenovo Hybrid AI 285 platform, supporting scalable deployment from single-node setups to multi-node systems with customizable AI software stacks. These solutions are optimized for high-performance workloads, including generative AI, real-time video processing, and content creation.
GPU Advanced Services: Modular Options for Every Stage
Lenovo offers three modular service options that can be purchased individually or combined, allowing enterprises to choose support based on their GPU adoption stage:
- GPU Plan & Design Services – Provides workload assessment, solution sizing, technology selection, and architecture planning for organizations starting their AI journey.
- GPU Implementation Services – Guides deployment with architecture documentation, stack configuration, and knowledge transfer to ensure efficient setup.
- GPU Managed Services – Offers ongoing optimization, updates, and recovery support for production AI workloads across hybrid and on-premises environments.
Enterprises can combine these with Lenovo AI Fast Start to identify and validate use cases before scaling into production with GPU Advanced Services.
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Proven Benefits Across Key Industries
Lenovo’s GPU Advanced Services are designed to streamline deployment and reduce risk, helping enterprises accelerate AI adoption across multiple sectors:
- Healthcare – AI-assisted diagnostics provide faster, more accurate patient care.
- Automotive – Edge AI models for autonomous and connected vehicles benefit from ongoing optimization.
- Media & Entertainment – Real-time GPU tuning enhances rendering and content production workflows.
- Cloud Services – Cirrascale Cloud Services cut GPU deployment time by over 40%, accelerating AI innovation.
Lenovo’s High-Performance GPU Expertise
Built on Lenovo ThinkSystem and High-Performance Compute platforms, GPU Advanced Services enable organizations to maximize hardware investments without vendor lock-in. Lenovo’s leadership includes:
- #1 supercomputer provider for seven consecutive years
- #1 in x86 server reliability
- Top-ranked in security
This foundation allows enterprises to scale AI infrastructure confidently, ensuring performance, reliability, and security across complex workloads.
Sources:
Lenovo – official
