Author
Published
19 May 2025Form Number
LP2221PDF size
6 pages, 409 KBAbstract
This article outlines the NVIDIA RTX PRO Blackwell Servers as part of the Lenovo Hybrid AI 285 Platform, and how Lenovo and NVIDIA are working together to deliver a validated and seamless architecture to help customers boost their on-premises AI factory deployments.
Introduction
With customers looking to deploy validated and seamless AI solutions and AI budgets tripling in 2025 to 20% of IT budgets, investing in the right AI solutions to meet business SLAs and deliver higher ROI has never been more important. To help customers simplify their deployment with validated and trusted AI solutions, Lenovo introduced Lenovo Hybrid AI 285, a platform that enables enterprises of all sizes to quickly deploy hybrid AI factory infrastructure, supporting Enterprise AI use cases as either a new, greenfield environment or an extension of their existing IT infrastructure.
Lenovo Hybrid AI 285 platform
The Lenovo ThinkSystem SR675 V3 server will support up to eight NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, delivering optimal performance for a wide range of agentic AI and physical AI use cases. This NVIDIA RTX PRO Blackwell server from Lenovo provides enterprises with a universal data center system to power AI factories — driving the shift from CPU-based systems to efficient GPU-accelerated infrastructure.
The Lenovo Hybrid AI 285 platform built around the Lenovo ThinkSystem SR675 V3 is based on recommended hardware configurations from NVIDIA Enterprise Reference Architectures.
Figure 1: Lenovo Hybrid AI 285 platform, featuring Lenovo and NVIDIA-Certified solution components
The Lenovo Hybrid AI 285 solution is highly scalable, starting from a single ThinkSystem SR675 server with just 4 GPUs scaling up to 20 servers and 160 GPUs. With the integration of NVIDIA RTX 6000 PRO Blackwell Server Edition GPUs into the Lenovo Hybrid AI 285 platform, GPU-accelerated retrieval is faster, more intelligent, and more efficient for faster time-to-value for Retrieval Augmented Generation (RAG) and Agentic AI operations. One example is the Lenovo Hybrid AI Advantage with NVIDIA solutions AI Content Generation use case. This solution enables customers to create, manage, and optimize original, high-quality content efficiently and consistently.
With the addition of NVIDIA RTX PRO Blackwell servers, the Lenovo Hybrid AI 285 platform will also align with the new NVIDIA Enterprise AI Factory validated design. This validated design offers full-stack guidance for enterprises to build and deploy their own on-premises AI factory. By following the software stack guidance in this validated design, the Lenovo Hybrid 285 platform will help enterprises deploy a wide-range of AI-enabled enterprise applications, including agentic and physical AI workflows, autonomous decision-making, and real-time data analysis.
Comprised of NVIDIA Blackwell accelerated computing, NVIDIA networking, and NVIDIA AI Enterprise software with NVIDIA-Certified Systems and Storage like Lenovo ThinkSystem servers and storage from Lenovo, these solutions enable customers to deploy on-premises AI solutions confidently, with the performance, reliability, and security features customers require for enterprise AI deployments.
Lenovo AI Services: Accelerate the AI Journey with Confidence
AI is complex. Lenovo streamlines the journey.
Lenovo AI Services support organizations in moving from exploration to execution, delivering faster outcomes through expert guidance, robust infrastructure, and enterprise-ready software.
Support spans the full AI lifecycle:
- AI Discover – Sets the vision. Defines the strategy.
Assesses organizational readiness across people, processes, technology, and security. Delivers actionable recommendations using a proven methodology.
- AI Advisory – Aligns AI to business priorities.
Defines desired outcomes, recommends optimal architectures and security postures, and designs scalable adoption roadmaps from edge to cloud.
- AI Fast Start – Moves from concept to production—fast.
Develops high-impact use cases rapidly with NVIDIA AI Enterprise, which includes NVIDIA NIM Accelerates platform readiness and production deployment in just weeks.
- AI Deploy and Scale – Delivers secure, scalable, cost-effective AI.
Implements enterprise-grade infrastructure tailored for production workloads. Scales deployments flexibly through Lenovo TruScale as-a-service.
- AI Managed – Optimizes systems. Evolves capabilities.
Provides ongoing system management and optimization. Extends AI capabilities through Lenovo’s global ecosystem of AI Innovators.
A Trusted Collaboration for the Future
Enterprise AI demands more than advanced technology — it requires a trusted, strategic partnership.
Lenovo and NVIDIA have expanded their collaboration to deliver fully validated AI Factory solutions that accelerate innovation, streamline hybrid infrastructure, and reduce operational complexity. These offerings address the evolving needs of modern enterprises by enhancing productivity, performance, and security.
With a shared commitment to customer-valued innovation, the Lenovo–NVIDIA partnership delivers faster time to value and drives measurable business outcomes — from initial pilot to full-scale AI Factory.
Start your AI Factory journey with the Lenovo Hybrid AI 285 Platform.
Author
Doug Oathout is the General Manager and Executive Director of ISG’s Global Enterprise, Government and SMB Segment. He manages the go-to-market strategy and execution of key ISG initiatives with ISG Business Units, Regional Sales Groups and Lenovo Channel Partners. Prior to joining Lenovo, Doug held leadership position at Black Box Network Services, Hewlett Packard Enterprise, and IBM. At Black box Doug was SVP of their Global Services business, partnerships and strategy teams. At HPE, Doug was Vice President of Growth Segment Marketing, Enterprise Group Channel Marketing and product marketing for Converged Infrastructure. Previous positions include Vice President Enterprise System Group at IBM, Global Engineer Solutions and Printing Systems. Doug also held several leadership positions at IBM. He earned his MBA from the University of North Carolina and holds a Bachelor’s of Science Degree in Electrical Engineering from Clarkson University.
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