Powering Global AI with Private Cloud Mastery

Artificial Intelligence (AI) and Machine Learning (ML) are doing for the enterprise what the internet did for the world—creating unprecedented demand for smarter infrastructure and specialized talent. With data center requirements set to jump 50% by 2030 according to McKinsey, the rise of AI isn’t just a trend; it’s a structural shift. For IT practitioners, the move to Private AI represents the ultimate opportunity to evolve from infrastructure admins to innovation architects.

APJ Teams are Struggling to Keep Up with Modern Tech

The global competition in AI is intense, demonstrated by significant capital investment in AI initiatives across major industrial sectors. This vigorous demand is evident worldwide, from the Asia-Pacific and Japan (APJ) region to leading economies in North America and Europe.

The swift progression of AI is encountering a major operational obstacle. Traditional IT infrastructure and existing skillsets are proving insufficient for the demands of contemporary AI models. Large-scale AI workloads can quickly overwhelm traditional systems, impeding innovation and delaying the value from significant AI investments.

The Skills Gap is Your Hidden Opportunity

A recent report by Deloitte highlights that while many companies (42%) are ready to use AI strategically, they are less prepared in critical areas such as infrastructure and talent. This deficit is being exacerbated by massive adoption we are seeing across the globe.

In the Asia-Pacific region, for instance, 78% of respondents are using AI regularly, according to BCG. This usage is only expected to increase and drive greater demands on AI systems. Even though over 75% of APJ organizations are prioritizing major investments in AI infrastructure, the most significant hurdle remains: the shortage of qualified personnel. This skills deficit is cited by over half of respondents in a TD SYNNEX report as the biggest barrier to adoption, posing risks for AI investments while, at the same time, presenting what could be your greatest career opportunity.

While public cloud offers flexibility, most organizations prefer a private or hybrid cloud approach for their most sensitive and data-intensive AI/ML projects according to the Broadcom Private Cloud Research report. This preference is driven by crucial factors like data sovereignty, regulatory compliance, predictable cost control at scale, and the need for dedicated, low-latency performance.

If you are an IT practitioner with experience in VMware solutions, you are already equipped with the foundational virtualization and infrastructure management skills needed to lead AI adoption.

Help your organization achieve greater value from its AI investments by providing ready-to-build AI stacks that speed adoption. And by enabling secure data access, you’ll protect privacy and support diverse AI applications.

VMware Cloud Foundation: Your Competitive Edge

VMware Cloud Foundation (VCF) delivers a unified, AI-native private cloud platform for global AI at scale. It consolidates compute, storage, and networking, providing the consistent platform necessary to host and manage complex data environments..

VCF’s architecture uniquely enables you to:

• Utilize investments efficiently: Secure, flexible pooling and sharing of costly GPU resources across global teams, ensuring maximum optimization and return on investment.
• Optimize performance: Provide low-latency compute for mission-critical model training and inference, vital for every AI project.
• Drive operational consistency: Accelerate environment provisioning, allowing data science teams to focus on innovation instead of infrastructure silos.

Build the Future of AI on a Private Cloud Platform You Trust

Cloud teams are quickly becoming more important as they build the systems that run the company’s AI. VCF provides the strong, combined, and secure system necessary to host and manage these complex data environments, making this the perfect opportunity to transform your career. Once you are skilled in private cloud, you won’t just be managing hardware but will become the expert responsible for getting the most value out of multi-million dollar GPU investments. This highly sought-after expertise can future-proof your career in the global data and AI economy.

This is your moment to transform your career:

• Become indispensable: Master the foundational private cloud platform that will host your organization’s most valuable AI assets. You will become the expert who enables efficient utilization and performance.
• Elevate your role: Transition from operational support to a strategic business partner, helping accelerate your organization’s AI adoption and driving business growth.
• Future- proof your skills: Acquire high-demand expertise in managing and allocating pooled GPU resources, a skillset that is essential for competing in the highly competitive global data economy.

For IT leadership, this is a critical investment in your staff—helping ensure your AI strategy is backed by teams with the skills needed to operate and scale modern environments.

Scale Your Expertise by Leaning into the Modern Private Cloud

In a rapidly shifting AI market, knowing where to focus is a key advantage. Broadcom offers targeted, role-based VCF learning paths offering a curated path to master the core competencies of the AI-ready private cloud.

We are committed to your success at Broadcom and are actively investing in your development. To equip your team with the essential modern cloud skills needed to support and lead the AI revolution, we have removed the training cost barrier for VCF Full Platform and Strategic customers, as well as all Broadcom Advantage partners. This is achieved through our VCF Learning Entitlement. Use the Quick Start Guide to explore role-based learning paths. Activate your VCF Learning Entitlement today.