Confidential Computing for Secure, Private & Scalable AI

Confidential Computing by Corvex Makes 
Generative AI Private, Secure, and Scalable

Easily run and scale confidential inference and training workloads that are encrypted at runtime with robust remote attestation.

Security & Privacy Made Effortless

Corvex Confidential simplifies confidential computing:

  • Easily add a confidential computing layer
  • Run sensitive inference or training workloads encrypted at runtime with remote attestations
  • Lightweight, confidential containers based on Intel SGX & NVIDIA CVM
  • Compatible with managed K8s, easily installs as a day-2 operation in existing clusters

Cloud Scalability, Uncompromising Security

Enjoy the flexibility and scalability of cloud computing without compromising on security:

  • Use the latest open source models with confidence! Prevent models from leaking data.
  • Migrate sensitive workloads to the cloud, safeguarding them from unauthorized access and threats.
  • Enhance your compliance with stringent regulatory requirements and laws

Why Choose Corvex Confidential?

Corvex Confidential provides the ideal solution for enterprises and AI-native organizations looking to balance scalability with stringent privacy and security demands:

  • Effortless Implementation: Minimal operational overhead with easy, lightweight installation.
  • Comprehensive Protection: Encryption at runtime combined with industry-leading trusted execution environments (Intel SGX & NVIDIA CVM).
  • Flexible & Scalable: Securely manage generative AI workloads as they scale, from development to production.
  • Enhances Compliance for Security-Conscious Customers: Ideal for organizations focused on healthcare, financial services, government and other sensitive workloads.

What Is Cloud Computing?

Cloud computing is the delivery of computing services, like storage, servers, databases, networking, software, and analytics, over the internet, often referred to as “the cloud.” Instead of owning and maintaining physical hardware, businesses and developers can rent access to these services on demand, paying only for what they use.

At its core, cloud computing makes technology more accessible. Whether you're a startup training AI models or a large enterprise running global operations, the cloud offers a flexible and scalable way to build, deploy, and manage applications without the overhead of traditional infrastructure.

But as cloud adoption grows, so do concerns about privacy and security, especially for sensitive data and machine learning models. That’s where cloud confidential computing comes in. It adds a layer of protection by keeping data encrypted even while it’s being processed, solving one of the last remaining gaps in cloud security. all of the power, reliability, and scalability without the huge overhead of hyperscalers. Corvex is a better value for your AI investment.

Benefits of Cloud Computing

Cloud computing has transformed the way we think about technology infrastructure. Here are a few reasons why businesses, from early-stage startups to Fortune 500s, are embracing the cloud:

Scalability: Need more computing power? Scale up in seconds. Done with a project? Scale back down and only pay for what you used.

Cost-Efficiency: Say goodbye to costly on-site servers and IT overhead. Cloud services shift your costs to an as-you-go model.

Speed & Agility: Cloud platforms let you deploy updates, launch new features, and iterate faster—perfect for teams working in AI or other fast-paced fields.

Global Access: Teams can access data and applications from anywhere, enabling collaboration without physical constraints.

Built-In Security Tools: Leading cloud providers offer a suite of compliance and security features, and when paired with cloud confidential computing, even your most sensitive workloads are protected while in use, not just at rest or in transit.

At Corvex, we take it a step further by combining the flexibility of cloud computing with the privacy guarantees of confidential computing. That means your AI models and data stay safe, even in multi-tenant cloud environments.

Make the switch

Get all of the power, reliability, and scalability without the huge overhead of hyperscalers. Corvex is a better value for your AI investment.

Accessible Pricing

Fair GPU pricing with support included

No Hidden Charges

No charges for ingress or egress

Networking Included

Free redundant Internet with DDOS, additional bandwidth and address space available

Awesome Storage

Competitively priced off-node NVMe storage.

Frequently Asked Questions

1. What is confidential computing?

Confidential computing like Corvex Confidential is a security technology that protects sensitive data while it’s being processed, not just at rest or in transit.

2. Why is confidential computing important for AI?

Confidential computing for AI workloads—especially in cloud environments—ensures that both user data and AI models remain private, even from infrastructure operators.

3. Who needs confidential computing?

Confidential computing is critical for heavily regulated industries like healthcare, finance, and government where trust and compliance are essential.

4. What is a Trusted Execution Environment (TEEs)?

A Trusted Execution Environment (TEE) is a secure enclave within a CPU or GPU that runs code and handles data in isolation from the rest of the system. Corvex Confidential uses TEEs to ensure that model weights, training data, or inference inputs remain confidential.

5. Does Corvex Confidential support compliance with regulations like HIPAA?

Corvex Confidential provides technical enforcement of data privacy by ensuring that data remains encrypted and isolated throughout the AI pipeline. This helps meet requirements for data minimization, access control, and auditability under HIPAA and other industry privacy regulations.

Start Securing Your AI Workloads Today

Protect your generative AI models and sensitive workloads with Corvex Confidential's trusted execution environments.

Contact Us for a Demo