Enterprises are racing to integrate generative AI into their applications – but building and scaling those solutions remains complex, especially at the infrastructure level. That’s where ConfidentialMind comes in. They’ve developed a platform that radically simplifies AI adoption with one-click deployment of LLM endpoints, databases, and data connectors – no prior AI or Kubernetes experience required.

However, delivering secure, scalable AI to global enterprises requires robust, flexible cloud infrastructure. In this case study, you’ll learn how ConfidentialMind partners with Vultr to bring powerful AI capabilities to customers in finance, healthcare, media, manufacturing, and beyond.

Here are a few highlights from the case study:

Overcoming GPU availability and cost challenges

ConfidentialMind needed enterprise-grade GPUs with high availability – particularly in the U.S. – and predictable, affordable pricing. By choosing Vultr’s AMD Instinct™ MI300X GPUs, they’re now able to:

• Run large models with 192 GB of VRAM per GPU

• Eliminate the need to split models across multiple GPUs

• Avoid long wait times or upfront hardware costs

The result? At least 50% savings on GPU compute costs compared to hyperscalers like AWS, GCP, or Azure.

Scaling AI workloads with Kubernetes made easy

Using Vultr Kubernetes Engine (VKE), ConfidentialMind streamlines the deployment and scaling of AI workloads. Whether their clients need a few NVIDIA A100s or an eight-GPU AMD Instinct cluster, they can generate production-ready AI environments on demand.

Delivering secure, enterprise-ready AI solutions

For ConfidentialMind, infrastructure flexibility is key. Vultr supports hybrid and multicloud strategies that ensure data sovereignty, reduce vendor lock-in, and accelerate time-to-value for AI adoption.

“Vultr Cloud GPUs, including AMD Instinct™ MI300X, provide the computational power we need for running AI models,” said CTO Severi Tikkala. “Vultr’s affordable prices and scalable on-demand cloud allow us to serve customers with high-performance AI deployments affordably.”

Read the complete case study to learn how ConfidentialMind and Vultr are unlocking scalable, secure, and cost-effective AI for the enterprise.