Rackspace, AMD to deploy 30 MW AI cloud for enterprises

datacenternews.asia Jun 20, 2026

Rackspace, AMD to deploy 30 MW AI cloud for enterprises

Curated by Shubham · TechCapsules · Jun 20, 2026

AI-summarised brief · reviewed before publication

Rackspace and AMD have signed an agreement for the phased deployment of 30 MW of AMD-based compute across Rackspace's global data centres. The deployment, set to begin in late 2026 and continue through 2028, will support workloads that require tighter governance and accountability, including projects in sectors such as healthcare. The infrastructure will provide dedicated compute capacity for organisations running AI models and inference tasks in sensitive operating environments, using AMD Instinct GPUs and EPYC CPUs.

💡 Why It Matters

· Regulated industries are driving demand for managed infrastructure that meets governance and auditability requirements, making vendors like Rackspace and AMD well-positioned to capture a share of the enterprise AI budget.
· By bundling hardware, software, and operational management, these providers can offer a single AI stack that meets the needs of customers in regulated sectors.

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SAP and Google Cloud deploy agentic commerce architecture

SAP and Google Cloud are deploying agentic commerce architecture to automate marketing and retail operations. SAP research indicates 78 percent of businesses consider AI essential for retaining customers in 2026, but few companies share customer data across platforms. The partnership aims to build an agentic customer experience architecture, connecting data, AI, engagement, and commerce operations. The deployment relies on restructuring how AI interacts with backend commercial platforms and adopting the Universal Commerce Protocol to standardise data exchange. This framework allows software to independently execute the full retail sequence, lowering integration costs and accelerating onboarding into AI-driven channels, with SAP planning to collaborate with Google to surface merchant products across the Gemini application and Google Search.

💡 By unifying the entire retail sequence, the architecture corrects systemic customer experience failures, such as out-of-stock notices and fulfilment delays. The integration ensures the system recognises the user and their context instantly across all digital properties, enabling efficient issue resolution and personalised interactions.

artificialintelligence-news.com · Jun 18

HSBC expands AI banking partnership with Google Cloud

HSBC has entered a multi-year partnership with Google Cloud to develop and deploy artificial intelligence tools across its global operations. The agreement covers work in wealth management, financial crime risk management, and internal decision support. HSBC will work with Google Cloud and Google DeepMind engineering teams on AI tools and programmes using Gemini models. The bank expects the partnership to support over 200 AI use cases over the next two years, with selected initiatives potentially returning over US$100 million. HSBC already has over 600 AI use cases and more than 600 applications running on Google Cloud. The partnership aims to enhance customer experiences and improve efficiency.

💡 The partnership accelerates HSBC's AI adoption, enabling faster intervention in financial crime detection and more personalized customer experiences. It also underscores the growing importance of AI in banking, as institutions seek to leverage technology for competitive advantage.

artificialintelligence-news.com · Jun 17

Google Cloud generative AI automates council planning operations

The UK government is deploying Google Cloud generative AI to automate council planning operations, aiming to reduce application decision timelines by 50 percent. The Ministry of Housing, Communities and Local Government and the Department for Science, Innovation and Technology are using two machine learning tools, 'Extract' and 'Augmented Planning Decisions', to accelerate municipal processing. These tools will help local planning authorities handle vast volumes of unstructured data, addressing administrative backlogs that delay infrastructure development. The UK central government has set a target to construct 1.5 million new homes by 2029, and this automation is expected to support this goal. The tools will parse unstructured data, automate administrative tasks, and free up planners to focus on complex evaluation tasks.

💡 By automating routine planning applications, local councils can redirect resources to support major infrastructure and commercial developments, driving economic growth. Streamlining the planning process will also enable the UK to meet its housing construction targets more efficiently.

windowscentral.com · Jun 17

Rampant AI‑driven GitHub outages force Microsoft into an unlikely alliance — Amazon…

Microsoft has turned to Amazon Web Services for extra computing power after a string of AI-related outages on GitHub, the platform it acquired for $7.5 billion in 2018. The outages have strained GitHub's compute resources, which have been overwhelmed by a surge in development activity driven by the increasing use of AI to write code faster. GitHub's own blog has detailed how the service has failed to meet its own service level agreements, with an uptime of 90.21% below the stated 99.9%. Microsoft is accelerating its move to Azure and exploring a multi-cloud strategy to meet the demand.

💡 The partnership with Amazon highlights the limitations of Microsoft's infrastructure in supporting the rapid growth of GitHub, and raises questions about the company's ability to manage its AI-driven platforms.

securitybrief.com.au · Jun 16

Sharon AI signs 600-petabyte sovereign AI deal with VAST

Sharon AI has signed a deal with VAST Data to deploy 600 petabytes of software across its sovereign AI cloud infrastructure, one of the largest in Asia-Pacific. The agreement makes VAST Data's AI operating system the main data layer for Sharon AI's infrastructure, serving government, enterprise, research, and AI-focused customers in Australia and the region. The deployment is equivalent to 300 million hours of HD video storage and could support 100,000 graphics processing units. The deal targets the AI market where data residency and control are critical, keeping sensitive information within national borders.

💡 Sovereign cloud services are crucial for sectors with strict rules on privacy and security, making this deployment significant for government and regulated industries. Data residency and control are key factors in AI model training and inference.

appleinsider.com · Jun 16

Italy targets iCloud interoperability for DMA investigation

Italy's Competition Authority has launched an investigation into Apple's compliance with the Digital Markets Act's interoperability requirements for cloud storage. The regulator is examining whether Apple allows third-party cloud services to have "free and effective interoperability" with iOS and iPadOS. The investigation focuses on equal access to hardware and software features for third-party providers. Apple is accused of not providing equal footing for third-party cloud services, such as full device data backups. The probe is the first of its kind for the Italian regulator using the DMA, launched in cooperation with the European Commission, and findings will be shared after adjudication, marking a significant development in the ongoing regulatory dispute.

💡 Italy's probe highlights the ongoing tension between Apple's privacy and security efforts and the EU's push for greater interoperability. Apple's refusal to implement certain AI features in the EU due to DMA concerns underscores the regulatory stalemate.