Impossible Cloud vs. Confidential AI

Impossible Cloud is an enterprise cloud platform that provides high-performance object storage, dedicated bare metal GPU servers, and managed AI infrastructure for organizations running data-intensive and AI-powered workloads. Built around S3-compatible cloud storage, the platform offers scalable object storage with enterprise availability, transparent pricing, and compatibility with existing backup, archival, and application workflows. Its storage service eliminates common cloud cost surprises by removing egress fees, API charges, and long-term lock-in while maintaining predictable pricing as storage requirements grow. In addition to storage, Impossible Cloud offers dedicated bare metal GPU servers that provide full access to physical hardware without virtualization, making them well suited for AI model training, inference, rendering, and scientific computing. Managed AI services further simplify deployment by providing hosted infrastructure for large language models, Kubernetes clusters, high-performance computing, and production AI applications. Security is a major focus of the platform, with encryption for data in transit and at rest, role-based access control, multi-factor authentication, customer-controlled permissions, and infrastructure designed to support GDPR, ISO 27001, and SOC 2 requirements. Customers can deploy workloads in European or U.S. data centers while selecting regions that meet their performance, latency, and regulatory objectives. The platform also integrates with numerous backup and cloud solutions, making migration and interoperability easier for enterprise IT environments and managed service providers. Dedicated technical experts, enterprise SLAs, and partner programs help organizations deploy, optimize, and scale their cloud infrastructure with ongoing support. Impossible Cloud is designed to give businesses enterprise-grade cloud performance while maintaining transparency, regulatory compliance, and complete control.

Confidential AI provides a secure infrastructure designed for private AI inference, agent environments, and confidential computing solutions specifically aimed at AI laboratories, inference service providers, routers, and organizations handling sensitive information. Its hosted inference service leverages open-weight models that run in hardware-backed trusted execution environments (TEEs), employing technologies like Intel TDX and AMD SEV-SNP confidential virtual machines, complemented by NVIDIA GPUs in a secure computing setup. This framework guarantees that prompts, responses, and workload details are protected from infrastructure operators, allowing clients to validate attestation before sharing sensitive data. Users can either implement an OpenAI-compatible API to create inference endpoints and manage agent workloads or obtain the confidential-computing stack for deployment on their own infrastructure, bare metal servers, or across leading cloud platforms. This service proves particularly advantageous in situations where model deployment requires restricting operator access to both prompts and model assets, as well as when handling sensitive AI tasks in a dedicated confidential computing environment. Furthermore, the focus on stringent security protocols cultivates trust in the management of sensitive information, empowering clients to drive innovation while maintaining privacy and confidentiality in their operations. Ultimately, this enables organizations to navigate the complexities of AI technology with greater confidence and security.