Customize Consent Preferences

We use cookies to help you navigate efficiently and perform certain functions. You will find detailed information about all cookies under each consent category below.

The cookies that are categorized as "Necessary" are stored on your browser as they are essential for enabling the basic functionalities of the site. ... 

Always Active

Necessary cookies are required to enable the basic features of this site, such as providing secure log-in or adjusting your consent preferences. These cookies do not store any personally identifiable data.

No cookies to display.

Functional cookies help perform certain functionalities like sharing the content of the website on social media platforms, collecting feedback, and other third-party features.

No cookies to display.

Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics such as the number of visitors, bounce rate, traffic source, etc.

No cookies to display.

Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.

No cookies to display.

Advertisement cookies are used to provide visitors with customized advertisements based on the pages you visited previously and to analyze the effectiveness of the ad campaigns.

No cookies to display.

Lenovo logo

Research Note: Lenovo AI Announcements @ GTC 2025

At NVIDIA GTC 2025, Lenovo showed off its latest Hybrid AI Factory platforms in partnership with NVIDIA, focused on agentic AI.

The Lenovo Hybrid AI Advantage framework integrates a full-stack hardware and software solution, optimized for both private and public AI model deployments, and spans on-prem, edge, and cloud environments.

Platform & Infrastructure

Lenovo’s new platforms include support for NVIDIA’s latest Blackwell Ultra architecture, NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, and other components in the NVIDIA accelerated computing ecosystem.

It’s updated solution portfolio incorporates its ThinkSystem and ThinkStation infrastructure, Neptune liquid cooling, validated reference architectures, pre-built AI use cases, and fast-start services that accelerate deployment and time-to-value.

Compute and Acceleration:

  • Support for NVIDIA Blackwell Ultra and RTX PRO 6000 Blackwell Server Edition GPUs.
  • Integration of NVIDIA Grace CPUs, H200 NVL GPUs, and Hopper GPUs across ThinkSystem SR675, SR680, SR685, and SC777 V4 systems.
  • Liquid cooling via Lenovo Neptune for thermal efficiency and high-density AI workload performance.

Networking and Data Movement:

  • Inclusion of NVIDIA Spectrum-X networking and NVIDIA BlueField DPUs to accelerate data flow across training and inference pipelines.
  • Reference architectures validated by NVIDIA and implemented via Lenovo Validated Designs to streamline deployment.

Software and Tooling:

  • Full-stack integration with NVIDIA AI Enterprise, NVIDIA NIM™ microservices, and AI Workbench for model development.
  • The Lenovo AI Library of pre-configured, customizable AI agents tailored for enterprise use cases.
  • GenAIOps dashboard for centralized monitoring, bias detection, and governance under Lenovo’s Responsible AI framework.

Deployment Models and Scaling:

  • Modular rack designs scale from four-GPU starter environments to full-rack AI factory deployments.
  • Deployment flexibility spans personal devices (ThinkStation PX), enterprise data centers, and hybrid cloud environments.
  • Rapid prototyping and production integration through Lenovo AI Fast Start services, targeting business value within 90 days.

Validated Use Cases

Lenovo detailed several production use cases already validated within its Hybrid AI Advantage program, spanning content generation, customer service, and internal knowledge management:

Lenovo demonstrated a Lenovo AI Knowledge Assistant, a digital human assistant built using NVIDIA AI Blueprint and deployed via Lenovo PX ThinkStation. The assistant supported real-time interaction using voice and language inputs, showcasing on-device, natural language-enabled AI.

Analysis

Lenovo’s Hybrid AI Factory platform maintains the company’s  position as a strong competitor in enterprise AI infrastructure. Its emphasis on hybrid infrastructure, capable of training in the cloud and inferencing at the edge, aligns with growing enterprise demand for data locality, performance, and cost control.

Enterprises making AI infrastructure investments should make Lenovo’s offerings as part of any evaluations. The company is making the right move to stay current, well-addressing the needs of agentic AI and rapid enterprise integration.

Competitive Outlook & Advice to IT Buyers

These sections are only available to NAND Research clients. Please reach out to info@nand-research.com to learn more.

Disclosure: The author is an industry analyst, and NAND Research an industry analyst firm, that engages in, or has engaged in, research, analysis, and advisory services with many technology companies, which may include those mentioned in this article. The author does not hold any equity positions with any company mentioned in this article.

Leave a Reply

Your email address will not be published. Required fields are marked *