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On the Ground at VMware Explore 2026: How Lenovo Is Partnering with VMware for Turnkey AI and Taming the Memory Crunch

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중국 Beijing Qianxing Jietong Technology Co., Ltd. 인증
중국 Beijing Qianxing Jietong Technology Co., Ltd. 인증
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베이징 첸싱 지에통 테크 주식회사의 영업 사원은 매우 전문적이고 참을성 있습니다. 그들은 빨리 인용을 제공할 수 있습니다. 제품의 품질과 패키징은 또한 매우 좋습니다. 우리의 협력은 매우 매끄럽습니다.

—— 《Festfing DV》LLC

내가 긴급히 인텔 CPU와 토시바 SSD를 찾고 있었늘 때, 베이징 첸싱 지에통 기술 주식회사로부터의 샌디는 나에게 많은 도움을 주었고, 나에게 빨리 필요로 한 제품을 가져다 주었습니다. 나는 정말로 그녀를 압니다.

—— 고양이 엔

베이징 첸싱 지에통 기술 주식회사의 샌디는 내가 서버를 구입할 때 제시간에 나에게 구성 오류를 상기시킬 수 있는 매우 주의깊은 판매원을 있습니다. 엔지니어들은 또한 매우 전문적이고, 빠르게 테스팅 프로세스를 완료할 수 있습니다.

—— 스트렐킨 미하일 블라드미로비치

베이징 첸싱지에통과의 협업에 매우 만족합니다. 제품 품질이 훌륭하고, 배송도 항상 제 시간에 이루어집니다. 영업팀은 전문적이고, 인내심이 많으며, 모든 질문에 매우 친절하게 답변해 줍니다. 그들의 지원에 진심으로 감사드리며, 장기적인 파트너십을 기대합니다. 강력 추천합니다!

—— Ahmad Navid

품질: 제 공급업체와의 좋은 경험. 미크로틱 RB3011은 이미 사용되었지만 매우 좋은 상태로 모든 것이 완벽하게 작동합니다. 통신은 빠르고 원활했습니다.그리고 제 모든 걱정은 빠르게 해결되었습니다.매우 신뢰할 수 있는 공급자

—— 제란 콜레시오

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On the Ground at VMware Explore 2026: How Lenovo Is Partnering with VMware for Turnkey AI and Taming the Memory Crunch

September 2, 2026
At VMware Explore 2026, we spoke with Stuart McRae, Executive Director of Lenovo’s Enterprise Storage, Software, and Solutions Offering Group. Unlike typical product-focused interviews, this wide-ranging conversation covered AI-driven shifts in enterprise buying trends, the ongoing RAM shortage, and a lighthearted debate over Texas vs. North Carolina BBQ. Below are key takeaways from the discussion.

최신 회사 사례 On the Ground at VMware Explore 2026: How Lenovo Is Partnering with VMware for Turnkey AI and Taming the Memory Crunch  0

The High-Stakes Return to On-Premises Infrastructure


Early data center development prioritized custom-built infrastructure, with architects assembling bespoke environments from discrete compute, storage, and networking components. Today’s enterprise landscape has shifted fundamentally: skyrocketing generative AI costs and volatile public cloud pricing are driving a rapid return to on-premises deployments. Businesses now prioritize fast, predictable operational outcomes over customized architectural tweaks.

As McRae emphasized, the industry mission has evolved. Organizations are moving beyond piecemeal component assembly to adopt integrated, turnkey “AI factory” infrastructure—designed to be stable, low-maintenance, and seamlessly supported in daily operations.

RAM Shortage Drives Critical Memory Innovation


The industry faces a widespread “RAM apocalypse”, with DRAM and flash supply shortages inflating prices and creating major bottlenecks for data center expansion. This crisis has accelerated long-overdue memory architecture innovation.

Memory tiering is not a new technology, but early implementations relied on complex OS or application-layer configurations, making them unstable and hard to deploy at scale. Lenovo and VMware are solving this by embedding tiering intelligence directly into the VMware Cloud Foundation (VCF) hypervisor layer, offloading data to NVMe storage at the software-defined level to decouple performance from DRAM costs.

This approach delivers two core advantages: broad compatibility with existing systems, requiring no application overhauls or OS replacements; and up to 45% DRAM cost savings via optimized tiering. McRae noted, “The best time to buy a server was a year ago; the next best time is today.”

From Discrete Components to Pre-Validated Hybrid AI Factories


Enterprise IT priorities have shifted drastically: the era of experimental, customized infrastructure building has given way to demand for reliable, plug-and-play solutions. Sizing and validating AI infrastructure independently has become too complex for most organizations, fueling demand for standardized hybrid AI factories.

Lenovo integrates its hardware portfolio with the VCF Private AI stack to deliver fully pre-validated environments, ensuring seamless compatibility across SSDs, network cards, and firmware. Beyond hardware compatibility, the unified stack delivers robust lifecycle management and consistent stability through ongoing updates and patches. Enterprises are transitioning from component assemblers to operators of automated, unified infrastructure production lines.

Liquid Cooling Goes Mainstream for Enterprise Data Centers


Long limited to HPC and specialized research scenarios, liquid cooling has become a mainstream enterprise requirement. Dense deployments of high-performance CPUs and power-heavy GPUs have pushed traditional air cooling to its thermal limit.

Lenovo offers three tailored cooling architectures for modern data centers: Neptune warm water cooling, a highly efficient node-direct solution that eliminates energy-intensive chillers; closed-loop cooling, a flexible middle option for facilities without water infrastructure, with fully chassis-internal liquid circulation; and baseline air cooling, now reserved exclusively for low-density workloads.

Fast Logistics & Price Stability Become Competitive Advantages


Amid volatile component markets, deployment speed and cost predictability have become critical infrastructure priorities. Lenovo’s “Top Choice Express” and “AI Express” programs deliver VCF-ready, AI-optimized servers in just 10 days. Complementing fast delivery is a 30-day price guarantee—a rare stability advantage in a market where typical quotes expire in 72 hours, especially valuable for budget-constrained public sector enterprises.

McRae highlighted unprecedented hardware demand at the software-focused VMware Explore event, with infrastructure cost control sessions drawing full crowds and heavy booth traffic.

AI Transforms System Administration with Natural Language Operations


A defining industry shift is emerging: AI is evolving from a standalone workload to a native hypervisor interface. Following Broadcom’s launch of VMware Private AI Cloud and VCF AI Assistant, paired with third-party management pack support, enterprise infrastructure is moving toward natural language-driven administration.

최신 회사 사례 On the Ground at VMware Explore 2026: How Lenovo Is Partnering with VMware for Turnkey AI and Taming the Memory Crunch  1

Similar to Tassient Aipex’s cross-OS AI remediation capabilities, VCF’s integrated AI assistant will automate complex IT workflows. Administrators will simply query system issues in plain language—such as identifying crash causes—enabling the AI to pinpoint driver faults, locate patches, and execute remediation with user approval. This eliminates decades of manual, labor-intensive troubleshooting and provisioning work, marking a major leap in operational efficiency.

Three-Year Private Cloud Development Blueprint


McRae outlined a clear three-year roadmap for private cloud evolution centered on full infrastructure integration. VCF and vSAN will become enterprise default standards, with GPU resources fully clustered as core infrastructure rather than specialized auxiliary hardware. Driven by data sovereignty and operational efficiency demands, the integration-first model will overtake complex public cloud deployments.

Ultimately, AI will render infrastructure “invisible” by automating troubleshooting, remediation, and provisioning. Enterprise IT will shift from building customized component stacks to running efficient, reliable AI infrastructure factories—letting technology serve business needs seamlessly.

On the lighthearted closing BBQ debate, McRae offered a neutral take, praising North Carolina’s tangy vinegar-style BBQ and Texas’ slow-smoked brisket equally, with no comment on Cincinnati-style BBQ.

Beijing Qianxing Jietong Technology Co., Ltd.
Sandy Yang/Global Strategy Director
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Email: yangyd@qianxingdata.com
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