ITQ is joining the VMware Private AI ecosystem to support companies deploying AI in private/hybrid clouds. Organizations see AI potential but face adoption limits from compliance, sovereignty, and security. Public AI services often lack control required by regulated sectors. VMware and NVIDIA formed the Private AI Foundation by combining VMware Cloud Foundation with NVIDIA AI Enterprise. The platform enables on-premises/hybrid AI workloads, supporting RAG, fine-tuning, and inference. Broadcom says ownership and cost models are favorable while keeping data under customer control. The architecture adds GPU management, model governance, vector databases and data preparation, helping developers start projects faster while IT retains control and compliance.
Organizations see great potential in AI, but face limitations in its adoption. Compliance, data sovereignty, and security are particular bottlenecks. Public AI services often do not offer the control and guarantees that regulated sectors require. VMware and NVIDIA are attempting to overcome this with the Private AI Foundation, which combines VMware Cloud Foundation with NVIDIA's AI Enterprise software and hardware.
According to Broadcom, the ownership and cost model is more favorable than many competing solutions, while companies retain the assurance that data remains under their own control. Technically, the architecture consists of VMware Cloud Foundation as the base layer, expanded with features for GPU management, model governance, vector databases, data preparation, and AI agent development. For developers and data scientists, this means they can start AI projects faster, while IT departments retain control over infrastructure and compliance.
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