Autonomous AI: protect intellectual property with Private Cloud

AI and machine learning demand massive computing power and storage capacity. Many organisations turn to hyperscalers, often overlooking the risks: loss of control over data and intellectual property, as well as escalating costs. A Private Cloud strategy offers a secure, autonomous environment where AI can perform at its best — without these compromises.

The risks of Public Cloud for AI initiatives

• Data dependency: information is often distributed across multiple data centres and may fall under foreign jurisdictions.
• Cost escalation: AI workloads require extensive GPU computing power, leading to high and unpredictable expenses.
• Risk of IP exposure: models and algorithms hosted in the Public Cloud may be vulnerable to unauthorised access.

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AI without compromise — powered by Private Cloud:

‍✅ Full protection of intellectual property and data

✅ Predictable budgets with transparent cost control

✅ Scalable, high-performance computing without vendor lock-in

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Want to develop AI without compromising on security or cost efficiency? Choose Private Cloud — and stay in control of your innovations.