Knowledge middle groups deploying AI infrastructure face a important problem: constructing techniques that scale effectively, ship predictable efficiency, and keep operational simplicity with out fixed reengineering.
The answer requires validated, purpose-built infrastructure designed for seamless integration and confirmed efficiency from day one. The Lenovo Hybrid AI 285 with Cisco Networking for information facilities delivers a technically pre-validated resolution, combining compute density, superior networking, and automatic orchestration to speed up time to enterprise worth for AI deployments.
Pre-validated structure for high-bandwidth, low-latency AI networking
AI workloads place immense stress on each compute and information motion. The Lenovo Hybrid AI 285 platform with Cisco integrates:
- Lenovo ThinkSystem SR675 V3 servers, every supporting as much as eight NVIDIA GPUs, twin AMD EPYC CPUs, and 5 PCIe Gen5 community adapters
- Cisco Nexus 9364D-GX2A switches, delivering 400G high-bandwidth, low-latency, lossless cloth with RoCEv2 assist
Determine 1. Lenovo Hybrid AI 285 with Cisco Networking for information facilities, a technically pre-validated resolution, combining compute density, superior networking, and automatic orchestrationThis synergy varieties a high-bandwidth, low-latency, lossless cloth that’s important for distributed coaching and inference.
Objective-built for AI factories
The two-8-5 server configuration (2 CPUs, 8 GPUs, 5 NICs) is validated for speedy deployment throughout a number of use circumstances, from greenfield AI clusters to information middle augmentation. The design additionally permits for the 2-4-3 starter equipment configuration (2 CPUs, 4 GPUs, 3 NICs) and scales linearly as much as 96 GPUs per deployment unit—with out complicated reengineering.
Rigorous validation, streamlined deployment
Each part on this structure undergoes joint validation, together with:
- Tuning Non-Uniform Reminiscence Entry (NUMA) domains
- Optimizing BIOS / Unified Extensible Firmware Interface (UEFI) optimization
- Automating QoS and Precedence Stream Management (PFC) configuration on Cisco switches
Finish-to-end efficiency metrics, validated with RDMA/IB benchmarks, constantly ship 391 Gbps of efficient throughput on a 400 Gbps hyperlink, demonstrating real-world, line-rate functionality.
Enterprise impression of technical validation: Scalability, effectivity, and price management
Technical validation drives enterprise worth by mitigating dangers, accelerating ROI, and guaranteeing constant community operations. The pre-validated Lenovo-Cisco structure allows speedy, dependable AI deployment, standardized efficiency monitoring, and scalable, environment friendly infrastructure—delivering tangible outcomes in effectivity, scalability, and price management.
Seamless scaling with measured efficiency
You can begin with a single server or a full-scale AI manufacturing facility. Scaling is modular and predictable, sustaining efficiency consistency as you add nodes. This flexibility helps enterprise progress, in order that future AI expansions are incremental—not disruptive—investments.
Operational simplicity and decrease TCO
Validated design reduces engineering hours, assist calls, and the chance of configuration drift. Automated instruments change handbook change programming, boosting reliability and releasing up IT to concentrate on strategic initiatives. The dense structure saves on area and energy, lowering ongoing prices.
Maximal effectivity and accelerating AI ROI
This validated structure helps enterprise AI groups, information middle architects, and IT operations with scalable, modular infrastructure and simplified administration. Designed for organizations transferring from proof-of-concept to manufacturing AI, it minimizes engineering hours, reduces assist calls, and prevents configuration drift. Automated instruments improve reliability, whereas the dense design saves area, energy, and prices, enabling IT to concentrate on strategic priorities.
Three foundational parts distinguish this validated structure:
- Enterprise-ready: Joint Lenovo-Cisco validation offers a technical basis trusted by IT and enterprise stakeholders.
- Optimized stack: {Hardware} and software program tuned for AI means sustained GPU saturation, minimal latency, and fault-tolerant clustering.
- Automated assurance: Cisco Nexus Dashboard centralizes monitoring, EQN, and remediation, additional simplifying AI community operations.
Construct smarter AI factories confidently
The Lenovo Hybrid AI 285 with Cisco Networking for information facilities is a blueprint for high-scale AI success. Technical validation interprets into speedy, predictable deployments and sustained efficiency, all with the built-in confidence of business leaders backing your funding. Empower your online business to innovate whereas the infrastructure simply works.
Acknowledgements
Validation led by Meghan Kachhi, Technical Advertising Engineering Technical Chief
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