Audience
Developers and companies that require a tool to build, deploy and manage mission-critical applications
About IBM Hyper Protect Virtual Servers
IBM Hyper Protect Virtual Servers take advantage of IBM Secure Execution for Linux. It provides a confidential computing environment to protect sensitive data running in virtual servers and container runtimes by performing computation in a hardware-based, trusted execution environment (TEE). It is available on-premise as well as a managed offering in IBM Cloud. Securely build, deploy, and manage mission-critical applications for the hybrid multi-cloud with confidential computing on IBM Z and LinuxONE. Equip your developers with the capability to securely build their applications in a trusted environment with integrity. Enable admins to validate that applications originate from a trusted source via their own auditing processes. Give operations the ability to manage without accessing applications or their sensitive data. Protect your digital assets on a security-rich, tamper-proof Linux-based platform.
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IBM Cloud Hyper Protect DBaaS
IBM Cloud Hyper Protect DBaaS offers 100% tamper-proof, enterprise cloud database environments with high availability for workloads with sensitive data. It is built on LinuxONE technology, which provides built-in data encryption along with excellent vertical scalability and performance. It helps protect against threats of data breaches and data manipulation by privileged users and provides a high level of data confidentiality for data owners. With IBM Cloud Hyper Protect DBaaS, you can provision, manage, maintain and monitor databases, MongoDB and PostgreSQL, through standardized APIs. You can also retain your data in a fully encrypted client database without the need for specialized skills. Access full control over your encryption keys, with the option of using keys protected by the FIPS 140-2 Level 4-certified hardware security module. Take advantage of enhancements such as indexable JSON, publish and subscribe functions, and more.
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NVIDIA Confidential Computing
NVIDIA Confidential Computing secures data in use, protecting AI models and workloads as they execute, by leveraging hardware-based trusted execution environments built into NVIDIA Hopper and Blackwell architectures and supported platforms. It enables enterprises to deploy AI training and inference, whether on-premises, in the cloud, or at the edge, with no changes to model code, while ensuring the confidentiality and integrity of both data and models. Key features include zero-trust isolation of workloads from the host OS or hypervisor, device attestation to verify that only legitimate NVIDIA hardware is running the code, and full compatibility with shared or remote infrastructure for ISVs, enterprises, and multi-tenant environments. By safeguarding proprietary AI models, inputs, weights, and inference activities, NVIDIA Confidential Computing enables high-performance AI without compromising security or performance.
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IBM z/VM
IBM z/VM is an operating system with security-rich and scalable hypervisor and virtualization technology designed to run guest servers such as Linux, z/OS and z/TPF virtual machines as well as Red Hat OpenShift on IBM Z and LinuxONE servers. IBM z/VM runs hundreds to thousands of guest servers on a single IBM Z or IBM LinuxONE server with high efficiency and elasticity. It supports multiple machine images and architectures, simplifying migrations, facilitating application transitions, and consolidating systems onto one server. IBM z/VM excels in sharing system resources among virtual machines, offering extreme scalability, security, and efficiency, leading to cost savings and a robust foundation for cognitive computing. Use on-premises cloud computing in a hybrid cloud strategy. Scale and run thousands of Linux and container workloads efficiently. Help ensure continuous availability with IBM's resiliency offerings.
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Google Cloud Confidential VMs
Google Cloud’s Confidential Computing delivers hardware-based Trusted Execution Environments to encrypt data in use, completing the encryption lifecycle alongside data at rest and in transit. It includes Confidential VMs (using AMD SEV, SEV-SNP, Intel TDX, and NVIDIA confidential GPUs), Confidential Space (enabling secure multi-party data sharing), Google Cloud Attestation, and split-trust encryption tooling. Confidential VMs support workloads in Compute Engine and are available across services such as Dataproc, Dataflow, GKE, and Vertex AI Workbench. It ensures runtime encryption of memory, isolation from host OS/hypervisor, and attestation features so customers gain proof that their workloads run in a secure enclave. Use cases range from confidential analytics and federated learning in healthcare and finance to generative-AI model hosting and collaborative supply-chain data sharing.
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Company Information
IBM
Founded: 1911
United States
www.ibm.com/products/hyper-protect-virtual-servers
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