Mon, 12 Oct 2026

Lenovo unveils new accelerated path to production AI

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Lenovo has introduced Lenovo AI Express, an accelerated solution that simplifies AI deployment and helps customers achieve faster returns on their AI investments.

Ashley Gorakhpurwalla
Ashley Gorakhpurwalla

Ashley Gorakhpurwalla, president of Lenovo’s Infrastructure Solutions Group, said, “Lenovo AI Express gives our customers an accelerated path to deploying AI infrastructure to fit their specifications while mitigating the risk of overbuilding or costly delays.”

Lenovo AI Express

Lenovo AI Express provides a direct route to the Lenovo Hybrid AI Factory with NVIDIA. Customers can select from three validated quick-start configurations tailored to their model, user, and throughput requirements for varying levels of AI demand:

  • Small – From 15 Days1: Designed for focused AI inferencing for up to several dozen users at 30+ TPS2, supporting model sizes from 7B to 70B. Built on Lenovo ThinkSystem SR650a V4 and powered by two NVIDIA RTX 6000 PRO Blackwell Server Edition GPUs.
  • Medium – From 20 Days1: Supports higher-throughput inferencing and agentic AI for hundreds of users at 30+ TPS2, with model sizes from 70B to 400B. Built on Lenovo ThinkSystem SR675 V3 and powered by eight NVIDIA RTX 6000 PRO Blackwell Server Edition GPUs.
  • Large – From 25 Days1: Supports full-scale generative AI models for thousands of users2 across diverse workloads and interactivity levels, with up to a trillion parameters for enterprise-scale deployments. Built on Lenovo ThinkSystem SR680a V4 and powered by NVIDIA HGX B300.

Lenovo AI Express supports both AMD and Intel CPU technologies and offers enterprise AI software options, including Red Hat AI Factory with NVIDIA and NVIDIA AI Enterprise. Customers may also integrate Veeam Kasten to protect AI applications, data, models, and pipelines.

 Chris Marriott
Chris Marriott

“Lenovo AI Express combines Lenovo’s validated systems with NVIDIA accelerated computing, networking and AI software into ready-to-ship solutions, giving organisations a faster path to deploy AI factories and scale as their workloads and demand for intelligence grow,” said Chris Marriott, vice president of enterprise platforms at NVIDIA.

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