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Hybrid cloud and AI: the duo accelerating innovation

Translated title. Original: Cloud hybride et IA : le duo qui accélère l’innovation

The document explains how hybrid cloud AI combines on-site, private, and public cloud resources to run AI workloads efficiently while preserving data sovereignty. It discusses data preparation, orchestration, cost awareness, and the need to tailor deployment to each stage of the model lifecycle, with a note on rising AI adoption in French firms.

Compare the costs of cloud and on-premises infrastructure | InvestGlass

Translated title. Original: Vergelijk de kosten van cloud- en on-premises-infrastructuur | InvestGlass

This guide compares cloud, on-premises, private cloud, and hybrid infrastructures for financial services, highlighting cost, control, security, scalability, and compliance considerations for 2024–2026 amid growing AI use and data sovereignty rules.

New innovations in Google Distributed Cloud | Google Cloud Blog

Google Distributed Cloud now enables air-gapped deployment of frontier models, preserving data sovereignty while delivering enterprise search, open-model flexibility, and ISV apps in isolated environments. The platform combines advanced infrastructure with a growing partner ecosystem to remove the need to choose between security and performance.

It makes companies reconsider the choice between cloud and on-premises server

Translated title. Original: IA faz empresas reverem a escolha entre nuvem e servidor próprio

The document argues that AI and data workloads are driving a hybrid infrastructure approach, where cloud, private cloud, dedicated servers, and on-premises resources are combined to fit each application's needs. It highlights decision factors beyond price, including performance, security, and energy efficiency, and notes market growth and regional incentives influencing how companies like MSServer operate and partner.

Researchers Distribute Shots Across QPUs For Better Fidelity

A framework called Quantum Broker distributes shot-based quantum tasks across heterogeneous processors to meet user-defined QoS goals, using optimization solvers and a declarative QQSpec language; experiments via simulations show improved QoS over prior methods, though live-cloud performance remains to be evaluated.

Red Hat expands hybrid cloud tools on Oracle Cloud

Red Hat expands its hybrid cloud portfolio on Oracle Cloud, making Red Hat Enterprise Linux a first-party offering in OCI Console and extending access to Ansible, OpenShift, and OpenShift Virtualization through Oracle Marketplace. The move includes new procurement options via Oracle Universal Credits, pay-as-you-go pricing, and interoperability certifications with Oracle AI Database, Oracle RAC, and WebLogic Server, aiming for standardized, AI-friendly deployments across hybrid environments with Oracle Support backing the offering.

Red Hat expands hybrid cloud tools on Oracle Cloud

Red Hat expands its hybrid cloud portfolio on Oracle Cloud, adding first-party RHEL in OCI Console and making Ansible, OpenShift, and OpenShift Virtualization available via Oracle Marketplace with Oracle Universal Credits. The move standardises deployment across on-premises and OCI, tightens integration with Oracle tools, and includes product certifications and validations to demonstrate interoperability. It introduces pay-as-you-go RHEL for OCI and maintains existing BYO subscriptions, aiming to simplify licensing and management for AI workloads across hybrid environments.

Gemini sovereign enterprise search on Google Distributed Cloud | Google Cloud Blog

Google announces Gemini-powered enterprise search on a GDC air-gapped environment, enabling secure, perimeters-bound RAG search over siloed data with persistent conversations, source citations, and multi-format support without leaving the customer’s network.

What AI labs report vs what independent tests find · whatmodel.sh

A curated list of AI model benchmarks and model-card references, juxtaposing vendor-reported scores with independent test results across numerous models and tasks.

Opaque AI costs lead companies to rethink cloud strategies - DCD

Translated title. Original: Custos opacos da IA levam empresas a rever estratégias de nuvem - DCD

Cloud spending is a growing management challenge as AI moves into production; organizations favor open-source, hybrid architectures to rebalance workloads across public, private, and on-prem environments, aiming for cost predictability and better control, despite skill gaps and governance complexities.