Cloud computing Archives | Page 2 of 54 | Digital Watch Observatory

Ericsson completes first pre-standard 6G OTA session in US

Ericsson has completed the world’s first pre-standard 6G over-the-air session in the United States, marking a milestone toward commercial 6G networks. The trial took place in Plano, Texas, using a pre-standard system built on an AI-native, cloud-based architecture.

The demonstration validated core 6G building blocks, including radio hardware, RAN Compute, software-defined air interfaces and cloud platforms. Ericsson said its software architecture is deployable across CPU and GPU hardware environments.

The trial used spectrum in the 7GHz range with 400 MHz carrier bandwidth and focused on uplink performance, energy efficiency and spectral utilisation. The system included Ericsson radios, baseband platforms and cloud-native software.

According to the company, the test demonstrated capabilities to support AI-driven applications, such as robotics, that require real-time control and high-quality video streaming. Future 6G networks are expected to deliver consistent low latency and enhanced uplink capacity for advanced AI services.

Ericsson said the milestone strengthens US participation in global standards development, including 3GPP and Open RAN. The company plans to expand trials across additional spectrum bands while building on its US research and manufacturing footprint.

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Deutsche Telekom and Nokia advance open and AI-native RAN

Nokia and Deutsche Telekom have expanded their collaboration to advance cloud-based, disaggregated, and AI-native RAN technologies. The strengthened Innovation Cooperation Program deepens joint work in Cloud RAN, open interfaces, and next-generation solutions.

The partnership builds on years of cooperation focused on open and flexible architectures. Both companies said the expanded effort aims to improve network efficiency, programmability, and long-term operational value for service providers.

Work on Open Fronthaul integration is being intensified following earlier multivendor deployments in Germany linking Nokia baseband units with O-RAN-compliant radios. Additional integrations covering Open Fronthaul and Cloud RAN are progressing within confidential development programmes.

The companies are also advancing O-RAN-aligned management capabilities through open O1 interfaces and deeper integration of configuration management. A vendor-independent Service Management and Orchestration platform remains central to Deutsche Telekom’s multivendor RAN strategy.

Nokia will act as Deutsche Telekom’s strategic co-creation partner for AI-native RAN development. Joint efforts will focus on AI-powered receivers, adaptive beamforming, predictive optimisation, and lab and field validation to support intelligent, autonomous mobile networks.

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Amazon commits €33.7 billion to expand Spain cloud footprint

A €33.7 billion investment in Spain to expand cloud and AI infrastructure marks the most significant technology commitment in the country’s history, as Amazon confirms its major expansion plan.

Announced at MWC26 Barcelona, the package adds €18 billion to funding revealed in 2024 and strengthens the Amazon Web Services (AWS) Europe region based in Aragón.

Total investment in the AWS Europe (Spain) Region is expected to add €31.7 billion to GDP by 2035 and support around 29,900 jobs annually. About 6,700 direct roles stem from Amazon operations, with additional jobs created in construction, logistics, and supply chains.

New manufacturing and fulfilment facilities in Aragón are expected to create about 1,800 additional jobs, including a dedicated AI and machine learning server plant.

Since entering Spain in 2011, Amazon has invested more than €20 billion across retail, logistics, and cloud services. The Amazon Web Services region, launched in 2022, is accelerating AI adoption across Europe, including among Telefónica and BBVA.

A further €30 million will be allocated to community initiatives through 2035, focused on education, sustainability, and local development. Renewable energy projects, including 100 solar and wind sites, support operations and a net-zero carbon goal by 2040, establishing Aragón as a growing European digital hub.

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Claws become the new trend in local agentic AI

A new expression has entered the AI vocabulary, with ‘claws’ becoming the latest term to capture the industry’s imagination.

The term refers to a growing family of open-source personal assistants designed to run locally on consumer hardware, often on Apple’s compact Mac mini rather than on cloud-based servers.

These assistants can access calendars, email accounts, coding tools, browsers and external model APIs, enabling them to carry out complex digital tasks autonomously.

Interest increased after AI researcher Andrej Karpathy described his experiments with claws, prompting broader attention across online communities.

Many users have begun adopting the tools as lightweight agentic systems capable of handling real work, from scheduling meetings to writing software overnight by linking to models from providers such as OpenAI.

The name originated with Clawdbot, which was recently rebranded as OpenClaw and became a prominent example in Silicon Valley.

A wave of variants, including NanoClaw, ZeroClaw and IronClaw, has followed, marking a surge in locally run assistants that appeal to users seeking greater autonomy, privacy and experimentation.

Growing enthusiasm for claws highlights a wider shift towards agentic AI running directly on personal devices.

Whether these systems become mainstream or remain a niche developer trend, they show how quickly the AI landscape can evolve and how new concepts often spread long before they fully mature.

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DeepSeek V4 tests China’s AI ambitions against US rivals

China’s DeepSeek is reportedly preparing to release its latest AI model, according to a Financial Times report. The planned debut of the company’s V4 large language model is seen as another test of China’s ability to compete with leading US AI firms.

Sources cited by the report said V4 will be a multimodal model capable of generating images, video, and text. DeepSeek has reportedly worked with Huawei and Cambricon to optimise the model for Chinese AI chips.

The release is expected ahead of the annual Two Sessions parliamentary meetings in China, which begin on 4 March. Analysts say the timing could reinforce DeepSeek’s positioning as a national AI champion.

The launch would be the company’s first major model release since its R1 reasoning system debuted in January last year. DeepSeek claimed R1 matched leading US models while using less computing power, a development some compared to a ‘Sputnik moment’ for American technology firms.

Separately, AI researcher Andrew Ng said the industry remains decades away from achieving artificial general intelligence (AGI). He argued that systems capable of matching human intellectual breadth remain distant, despite steady advances in model performance.

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AI data centre boom drives global memory chip shortage

Global demand for AI data centres is creating a severe shortage of memory chips, disrupting supply chains across the consumer electronics industry. Manufacturers warn shortages of RAM could lead to higher prices and delayed shipments for devices including laptops, smartphones and gaming consoles.

Only three companies dominate global RAM production, with capacity increasingly redirected towards high-bandwidth memory used in AI systems. Analysts say rapid investment in AI infrastructure has absorbed available supply faster than manufacturers can expand production facilities.

Major technology firms are already feeling pressure as memory costs rise and inventories tighten. Companies including Apple, HP, Dell and Qualcomm have warned investors that pricing increases and weaker forecasts may follow if shortages persist.

Gaming and computer manufacturers are exploring different responses, ranging from price increases to redesigning products that require less memory. Experts expect supply constraints to continue through the year as chipmakers attempt to balance AI demand with consumer electronics needs.

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Cloud-native networks drive AI connectivity

Mobility is emerging as the digital economy’s backbone, with Cisco outlining its latest strategy at Mobile World Congress. Cloud-native, programmable networks are being framed as platforms that enable new revenue models while reducing operational complexity across industries and cities.

Recent updates focus on the Cisco Mobility Services Platform, plus IoT-as-a-service and a programmable core built to scale global networks.

Partnerships with operators such as AT&T, Tele2 IoT, and Wind Tre Group aim to speed up enterprise connectivity and reduce deployment times for industrial use cases.

Preparation for the AI era remains a core theme. Collaboration with NVIDIA focuses on embedding intelligence into wireless infrastructure while ensuring networks can support distributed AI workloads with low latency and predictable performance.

Ecosystem expansion includes joining the Linux Foundation initiative, while industry rankings signal momentum as operators move toward 5G Advanced and AI-native networks.

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OpenAI and Microsoft strengthen their long-term AI collaboration

Microsoft and OpenAI have reaffirmed their long-standing collaboration after new funding and partnerships raised speculation about their relationship.

Both firms stressed that recent announcements leave their original agreements intact, preserving a framework built on technical integration, trust and shared ambitions for AI development.

Microsoft’s exclusive licence to OpenAI’s intellectual property remains untouched, as does its position as the sole cloud provider for stateless APIs powering OpenAI models.

These APIs can be accessed through either company. Yet all such calls, including those arising from third-party partnerships such as OpenAI’s work with Amazon, continue to run on Azure rather than on alternative clouds. OpenAI’s own products, including Frontier, also stay hosted on Azure.

Revenue-sharing arrangements are unchanged, alongside the contractual definition and evaluation process for artificial general intelligence.

Both companies emphasised that the partnership was designed to allow independent initiatives while preserving deep cooperation across research, engineering and product innovation.

OpenAI retains the freedom to secure additional compute capacity elsewhere, supported by large-scale initiatives such as the Stargate project.

Even with broader collaborations emerging across the industry, both firms present their alliance as central to advancing responsible AI and expanding access to powerful tools worldwide.

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Data sovereignty becomes an infrastructure strategy in the AI era

For most of the past decade, data governance was treated as a legal issue. IT built networks and bought tools, while regulators were someone else’s problem. That division no longer holds. Cloud adoption and AI have turned data sovereignty into a core infrastructure and strategy question.

Regulatory frameworks such as GDPR, NIS2, and DORA are expanding and being enforced more strictly. Governments are also scrutinising foreign cloud providers and cross-border access. Local data storage no longer ensures absolute data sovereignty if critical control layers remain outside national jurisdiction.

Traditional SASE and SSE models were not built for this environment. Many still separate outbound cloud traffic from inbound controls. That split creates blind spots in distributed architectures and complicates consistent policy enforcement.

AI workloads intensify the pressure. Retailers, banks, and manufacturers are deploying models locally, not just in hyperscale clouds. Securing east-west traffic across systems and APIs without undermining data sovereignty is becoming a central architectural challenge.

Managed sovereign infrastructure is one response. It reduces reliance on external cloud paths while preserving operational scale. Ultimately, organisations must align security, AI deployment, and governance with long-term resilience goals.

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European businesses gain AI-powered contract tools with local data hosting

Workday has rolled out its Contract Lifecycle Management (CLM) platform with EU-hosted data in Frankfurt, allowing European organisations to use AI contract tools while keeping all data within the EU.

German, French, and Spanish language support is live, with more languages planned. The update is part of Workday’s EU Sovereign Cloud strategy, targeting the CLM market, which is set to grow to $1.9 billion by 2033.

The platform uses AI agents to automate contracts. The Contract Intelligence Agent extracts terms, obligations, and renewal dates to create a searchable repository, while the Contract Negotiation Agent flags deviations, drafts redlines, and speeds approvals.

Multilingual support ensures smooth workflows across Europe’s largest commercial languages, improving compliance and efficiency.

GDPR compliance remains critical, with fines up to €20 million or 4% of global turnover. EU-hosted CLM removes offshore data risks, which are crucial for the finance, healthcare, and defence sectors. Workday combines AI efficiency with full legal compliance.

Decision-makers should focus on three priorities: EU data residency, leveraging AI agents to accelerate contracts, and integrating CLM with HR and finance systems to maximise value. Workday aims to capture market share in Europe against competitors such as Icertis and DocuSign.

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