Azure Confidential Computing Description
Azure Confidential Computing enhances the privacy and security of data by safeguarding it during processing, rather than merely when it is stored or transmitted. It achieves this by encrypting data in memory through hardware-based trusted execution environments, enabling computations to occur only after the cloud platform has authenticated the environment. This method effectively blocks access from cloud service providers, administrators, and other privileged users. Additionally, it facilitates scenarios like multi-party analytics, where various organizations can collaboratively use encrypted datasets for joint machine learning efforts without disclosing their respective data. Users maintain complete control over their data and code, dictating which hardware and software can access them, and they can transition existing workloads using familiar tools, SDKs, and cloud infrastructures. Ultimately, this approach not only fosters collaboration but also significantly bolsters trust in cloud computing environments.
Azure Confidential Computing Alternatives
Google Compute Engine
Compute Engine (IaaS), a platform from Google that allows organizations to create and manage cloud-based virtual machines, is an infrastructure as a services (IaaS).
Computing infrastructure in predefined sizes or custom machine shapes to accelerate cloud transformation. General purpose machines (E2, N1,N2,N2D) offer a good compromise between price and performance. Compute optimized machines (C2) offer high-end performance vCPUs for compute-intensive workloads. Memory optimized (M2) systems offer the highest amount of memory and are ideal for in-memory database applications. Accelerator optimized machines (A2) are based on A100 GPUs, and are designed for high-demanding applications. Integrate Compute services with other Google Cloud Services, such as AI/ML or data analytics. Reservations can help you ensure that your applications will have the capacity needed as they scale. You can save money by running Compute using the sustained-use discount, and you can even save more when you use the committed-use discount.
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Thinfinity Workspace
Thinfinity Workspace 7.0's Technical Highlights:
- Progressive Web App (PWA) technology for a seamless user experience
- Integrated Thinfinity VNC, VirtualUI, and z/Scope for maximum versatility
- HTML5 terminal emulation supporting DEC terminals, TN 5220, and TN 3270 protocols
- Robust enterprise-grade audit logs for security and compliance management
- Proprietary VNC protocol for real-time monitoring and troubleshooting
IMPROVE USER EXPERIENCE
- Deliver business-critical apps, desktops and files from a single web portal.
- Provide simplified remote browser access for your users, while confining them to only the resources that they need.
SIMPLIFY IT AND AVOID VPNs
- Forget traditional VPN deployments and complexities.
- Enable access from Chromebooks, mobile devices or any computer with a Web Browser. Zero setup.
KEEP YOUR BUSINESS SECURE
- Use enterprise-grade encrypted connections.
- Integrate with your existing and external identity platforms.
- Apply 2FA or MFA policies with all identity providers.
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Phala
Phala provides a confidential compute cloud that secures AI workloads using TEEs and hardware-level encryption to protect both models and data. The platform makes it possible to run sensitive AI tasks without exposing information to operators, operating systems, or external threats. With a library of ready-to-deploy confidential AI models—including options from OpenAI, Google, Meta, DeepSeek, and Qwen—teams can achieve private, high-performance inference instantly. Phala’s GPU TEE technology delivers nearly native compute speeds across H100, H200, and B200 chips while guaranteeing full isolation and verifiability. Developers can deploy workflows through Phala Cloud using simple Docker or Kubernetes setups, aided by automatic environment encryption and real-time attestation. Phala meets stringent enterprise requirements, offering SOC 2 Type II compliance, HIPAA-ready infrastructure, GDPR-aligned processing, and a 99.9% uptime SLA. Companies across finance, healthcare, legal AI, SaaS, and decentralized AI rely on Phala to enable use cases requiring absolute data confidentiality. With rapid adoption and strong performance, Phala delivers the secure foundation needed for trustworthy AI.
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Delska
Delska is a data center and network operator that provides tailor-made IT and network services for businesses. With 5 data centers (one under construction, launching in 2025) in Latvia and Lithuania, and points of presence in Germany, Netherlands, and Sweden, we offer a comprehensive regional data center and network ecosystem. By 2030, we aim to achieve net-zero CO2 emissions, setting standard for sustainable IT infrastructure in the Baltic region.
In addition to cloud computing, colocation, data security, network, and other services, we have launched the self-service cloud platform myDelska for swift virtual machine deployment, IT resources management, and soon-to-come bare metal services.
Key features:
• Unlimited traffic and predictable monthly costs
• API integration
• Flexible firewall configurations
• Backup solutions
• Real-time network topology
• Latency measurement map
• Alpine Linux, Ubuntu, Debian, Windows OS, openSUSE and other operating systems
Since June 2024, Delska has merged 2 companies—DEAC European Data Center and Data Logistics Center (DLC). Both operate under their respective legal entities, which are owned by Quaero European Infrastructure Fund II.
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Integrations
Company Details
Company:
Microsoft
Year Founded:
1975
Headquarters:
United States
Website:
azure.microsoft.com/en-us/solutions/confidential-compute
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