How New Private Clouds Are Powering the Success of Enterprise GenAI

Generative artificial intelligence (AI) programs are a requirement in the enterprise world today, but the implementation of them is custom to each organization. More importantly, how AI initiatives are built and supported will determine the success or failure of those endeavors. With a staggering up to 80% of AI initiatives failing according to the Harvard Business Review it is more important than ever for enterprises to make sure they select the right infrastructure to support the unique requirements of their generative AI programs before they begin. Many of these projects fail when the infrastructure in place doesn’t support the resources required to power generative AI research and development. Enter OrionVM and ConfidentialMind who have joined forces to offer businesses a unique way to host generative AI environments within a private, secure and energy efficient cloud infrastructure. By shifting away from hyperscale models, this platform provides companies with more control, flexibility, and financial efficiency; enabling AI initiatives without compromising on security, scalability, or data sovereignty. The private cloud aspect of this setup is key. And thanks to advances in cloud technology, private clouds of today are more than simply adding cloud services on top of on-premise technology.  

Security is one area where GenAI can go wrong. For instance putting these projects on a public cloud can quickly become a privacy and security nightmare, not to mention the ethical and legal implications. This is due in part to the fact that it is mathematically impossible to remove data from public GenAI without retraining an entire dataset, which no company can justify doing given the extreme costs. This makes its use with proprietary and confidential data especially worrying.  

Hosting and training data you can trust on a private or an internal cloud, where you retain full control and introspection, has a massive legal and security benefit. The sources of the training data can also be kept in-house, which also removes a large ethical concern. Here are a few more ways in which the newly launched OrionVM and Confidential Mind partnership addresses AI cloud challenges:

• Enterprise-Grade Security & Compliance: The new private hosted platform offers built-in safeguards, including regional privacy standards and compliance certifications, addressing concerns around data security and regulatory requirements, especially in sensitive industries like finance and healthcare.
• Scalable Infrastructure: OrionVM’s high-performance cloud infrastructure enables enterprises to quickly scale AI workloads without compromising on performance. This scalability is key for enterprises with growing AI demands but needing to optimize costs.
• Customizable AI Environments: The platform allows businesses to tailor their generative AI environments using ConfidentialMind’s proprietary tools, ensuring that solutions are optimized for specific operational and business needs. This customization offers a more flexible and dynamic approach than static, one-size-fits-all private cloud solutions.
• Global Deployment & Low Latency: Available across the U.S., Australia, and EMEA, the partnership ensures that AI environments can be deployed regionally for latency-optimized performance and better service availability, addressing a common challenge of AI solutions being too slow or inefficient due to geographic barriers. 
• Combines Security with Performance: This collaboration focuses on the need for robust security without sacrificing AI performance, offering enterprises a balanced solution that maintains control over data and IP, while enabling efficient and high-performance AI model training and deployment.
• Targeted at Multiple Sectors: With specific applications in industries like finance, healthcare, retail, and manufacturing, the platform is designed to meet the specialized demands of each sector, making it a highly relevant solution for companies in those industries eager to leverage generative AI within a private cloud setting.
• Flexibility and Long-Term Viability: The partnership offers a long-term, adaptable solution for AI infrastructure, mitigating risks associated with the static, rigid nature of older private cloud models. It aligns with the needs of companies planning for significant AI adoption and growth over the next five years, allowing them to scale effectively and securely.

Our partnership with ConfidentialMind provides a comprehensive AI cloud solution that addresses key challenges in security, scalability, and customization, all while ensuring that enterprises maintain control over their data and IP in an ever-evolving AI landscape. We look forward to sharing future case studies as enterprises take advantage of these unique and game changing offerings. Have a project you’d like to discuss? Contact us here, we’d love to talk it through.