Lenovo has introduced GPU Advanced Services, a new offering designed to help enterprises improve AI workload performance by up to 30%. The services aim to address the growing demand for GPUs and the challenges businesses face in deploying and optimizing GPU infrastructure.
According to Lenovo, these gains are achieved through optimized deployment and tuning performed by Lenovo experts. The company says this can lead to faster time-to-market for AI projects and lower infrastructure costs by ensuring GPUs are fully utilized.
Steven Dickens, CEO and Principal Analyst of HyperFRAME Research, commented on the launch: “Enterprises are moving rapidly to operationalize AI, but many still struggle with the complexity of GPU infrastructure deployment. 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.”
The new services provide guided support for designing, deploying, and operating GPU-based systems. Lenovo emphasizes a services-first approach that allows companies to maximize their current investments without being tied into proprietary technology 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,” said Linda Yao, VP and General Manager of Hybrid Cloud & AI Solutions at Lenovo.
GPU Advanced Services are compatible with validated solutions such as the Lenovo Hybrid AI 285 platform. They support scalable deployments from single-node setups to multi-node environments with customizable software stacks. The services target high-performance workloads including generative AI applications, real-time video processing, and content creation.
The offering includes three modular options:
– GPU Plan & Design Services: For organizations starting out with AI initiatives; includes workload assessment and architecture planning.
– GPU Implementation Services: For teams ready for deployment; covers configuration guidance and knowledge transfer.
– GPU Managed Services: For production environments; provides ongoing optimization, updates, compliance support across hybrid or on-premises settings.
Lenovo also offers an “AI Fast Start” program intended to help enterprises quickly identify use cases before scaling into production using these new services.
The company highlights applications across industries such as healthcare (improving diagnostic speed), automotive (optimizing edge models for autonomous vehicles), media (enhancing rendering workflows), as well as cloud service providers like Cirrascale Cloud Services that have reduced deployment times significantly with Lenovo’s expertise.
Lenovo notes its history in advanced computing solutions. It has been ranked as the top supercomputer provider globally for seven years running according to industry sources (https://www.top500.org/statistics/list/). Additionally, it holds leading positions in x86 server reliability (https://lenovopress.lenovo.com/lp1716-lenovo-x86-server-reliability) and security metrics (https://securityscorecard.com/reports).
More information about Lenovo’s new offerings can be found at http://lenovo.com/us/en/Solutions/Hybrid_Cloud_Services/GPU_Advanced_Services.
