
One of the most important considerations when you're running private AI models on a cloud platform is data security. You want to protect your training data and the outputs your models generate – and even the models themselves.

At Vast.ai, we recognize that there's always some level of risk when sensitive data moves through cloud infrastructure. That's why we've built safeguards into every layer of our platform.

From containerized environments to our Secure Cloud offering and ongoing compliance efforts, here's how we help ensure you can run private AI models with confidence on Vast.

### Docker Container Isolation

When you rent GPUs on a cloud platform like Vast.ai, your workloads run inside Linux Docker instances. Each of these instances is a container created from a Docker image, where the container packages your processes and dependencies into a self-contained unit. This container runs in its own isolated environment, separate from the host system and from other clients' containers.

Why is this important? On a multi-tenant platform, multiple users may be running workloads on the same physical server. But with the isolation provided by a containerized environment, **each client only has access to their own data.**

Additionally, when you delete your instance, all data stored on it is also deleted. If you stop your instance, your data will still be stored on the disk and able to be copied in and out, but it's crucial to destroy your instances when you no longer need them. This helps protect your data while also avoiding unnecessary disk storage charges.

If you require the extra assurance of enterprise-grade data protection, you're in luck. Our Secure Cloud option may be just what you're looking for.

### Vast.ai's Secure Cloud Offering

Our **Secure Cloud offering** is designed for clients with the strictest data protection requirements – particularly well suited for when you're running your own private AI models or working with proprietary or sensitive datasets. It's our highest security tier, giving you the option to select GPU infrastructure only from our vetted datacenter partners.

The datacenter providers in our Secure Cloud all hold a **minimum of ISO 27001 certification**. Many are also HIPAA, NIST, PCI, and/or SOC 1-3 certified, as well as GDPR compliant. Each datacenter provider signs comprehensive Data Processing Agreements (DPAs) with Vast.ai and undergoes both internal and third-party audits on a regular basis.

Furthermore, we compile documentation on the identity of each provider and ensure they follow industry-recognized best practices for incident response, continuous monitoring systems, and security and compliance training for employees.

Our Secure Cloud offering provides the strongest safeguards available on Vast.ai. However, we also maintain our own ongoing efforts to reinforce data protection across our platform.

### Ongoing Compliance Efforts

At Vast.ai, we understand that compliance is an ongoing responsibility. Our integrated approach to security and trust weaves robust compliance measures throughout our platform to meet the unique needs of every client.

Some of our ongoing efforts include:

-   [**SOC 2 Type I and II and SOC 3 Certification**](https://vast.ai/article/vast-soc2-typeII-certification)s – Independent audits of our internal controls, validating that your sensitive data is secure, available, and privately stored across all of our systems (along with a standard 12-month Type II verification cycle for continuous coverage year round).

-   [**Vulnerability Bounty Program**](https://vast.ai/article/announcing-the-vast-ai-vulnerability-bounty-program) – A structured way to report bugs and responsibly disclose any security issues on our platform, as well as suggest new features.

Our [**Trust Center**](https://trust.vast.ai/) provides a detailed overview of our controls, compliance stance, FAQs and Subprocessors, and details about our other certifications and security practices.

### Securing Your Peace of Mind

Running private AI models on a cloud GPU platform requires careful attention to security. You must be able to protect not only the data you train on, but also the models you've built and the outputs they produce. Addressing these concerns is a top priority for us.

At Vast.ai, our goal is to give you the flexibility to scale workloads while maintaining the privacy and integrity of your data. As a result, you can be confident that your sensitive assets stay secure. As we continue to advance the security infrastructure we've built over 6+ years of trusted service, we remain focused on making powerful GPU compute accessible and secure for everyone.

Explore how **Vast.ai** can support your private AI workloads at scale, today\!


Learn how Vast.ai protects your sensitive data while running private AI models in the cloud. Discover our Secure Cloud offering, Docker container isolation, and ongoing compliance measures that ensure your AI workloads stay private and secure.

Posts about: Secure Cloud Computing

Running Private AI Models Without the Risk of Data Exposure