Cloud computing Archives | Digital Watch Observatory

MIT system boosts data centre storage efficiency

Researchers from MIT have developed a software-based system designed to improve the efficiency of data centre storage by addressing performance variability across pooled solid-state drives (SSDs). The approach targets inefficiencies that persist when multiple devices are shared across applications in large-scale environments.

The Sandook system identifies and manages three key sources of SSD variability, including hardware differences, read-write interference, and unpredictable garbage collection. Instead of treating these issues separately, the method addresses them simultaneously to improve overall throughput.

Sandook uses a two-tier architecture combining a global controller, which assigns workloads across the storage pool, and local controllers on each device that respond in real time to performance slowdowns. The design enables the system to redistribute tasks and reduce strain on underperforming drives dynamically.

Testing on workloads such as machine learning training, databases, and image compression showed performance gains of up to 94 percent compared with traditional methods, along with higher overall storage utilisation.

The approach could extend the lifespan of existing infrastructure and reduce the need for additional hardware investment. The shift may improve efficiency and cost-effectiveness while making more sustainable use of existing computing resources and limiting the pace of hardware replacement.

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Anthropic scales AI compute to meet rising global demand

AI company Anthropic has announced a major expansion of its compute infrastructure through a new partnership with Google and Broadcom, securing multiple gigawatts of next-generation TPU capacity expected to come online from 2027.

The increased compute supply is intended to support its frontier Claude models and meet rapidly growing global demand.

The company said the expansion reflects a continued strategy of scaling infrastructure to match accelerating customer growth. Demand for Claude has increased sharply in 2026, with revenue run-rate surpassing $30 billion and the number of high-spending business customers doubling in a short period.

Most new computing capacity will be based in the United States, aligning with broader investment plans in domestic AI infrastructure. The partnership builds on collaborations with Google Cloud and Broadcom, alongside continued use of multiple hardware platforms to improve performance and resilience.

Anthropic stated that diversifying compute across different providers helps optimise workloads and maintain reliability for enterprise users. Claude remains available across major cloud platforms, supporting its position in a competitive and rapidly scaling AI market.

The expansion reflects how rapidly growing demand for advanced AI systems is driving large-scale investment in underlying compute infrastructure, with potential implications for capacity, reliability, and the global distribution of AI development resources over time.

It also suggests how access to computing resources is becoming a key factor shaping competitiveness and innovation across the AI ecosystem.

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South Korea advances energy transition strategy to strengthen resilience and green industry

An expansive energy transition strategy has been outlined by South Korea aimed at reshaping its national energy system around renewables, electrification and industrial transformation.

The plan responds directly to heightened geopolitical risks and supply vulnerabilities, signalling a shift from import-dependent energy security towards domestic resilience.

Central targets include exceeding a 20% renewable energy share and deploying 100GW of capacity by 2030, alongside accelerating the adoption of electric and hydrogen vehicles across both public and commercial fleets.

The strategy by South Korea reflects structural change, combining large-scale renewable expansion with the phased retirement of the 60 currently operating coal-fired power plants by 2040 and the introduction of a ‘just transition’ framework to mitigate regional and labour impacts.

Industrial policy plays a central role, with support directed towards green manufacturing ecosystems, hydrogen-based steel production, carbon capture technologies and electrified industrial processes.

Rising electricity demand, driven in part by AI infrastructure and data centres, reinforces the need for grid modernisation, including decentralised and bidirectional systems designed to balance regional supply and demand more efficiently.

Governance mechanisms extend beyond infrastructure, incorporating market reforms, green finance instruments and subsidy reallocation away from fossil fuels.

Citizen participation is also embedded through ‘energy income’ models, enabling local investment in renewable projects.

South Korea positions energy transition not only as a climate objective but as a broader economic and social restructuring agenda centred on resilience, competitiveness and public engagement.

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Healthcare data breach raises concerns over cloud security

A cybersecurity incident involving CareCloud has exposed vulnerabilities in the protection of sensitive medical information, following unauthorised access to patient records stored within its systems.

A breach was detected on 16 March, allowing attackers to access electronic health records for several hours, which raised concerns about potential data exposure.

The company has stated that the intrusion was contained on the same day, with systems restored and an external investigation launched.

However, uncertainty remains about whether any data were extracted and the scale of the potential impact, particularly given the company’s role in supporting tens of thousands of healthcare providers and millions of patients.

Such an incident reflects broader structural risks within digital healthcare infrastructures, where centralised storage of highly sensitive data increases the potential impact of cyberattacks.

Cloud environments, including services provided by Amazon Web Services, are increasingly integral to such systems, amplifying both efficiency and exposure.

The breach follows a pattern of escalating cyber threats targeting healthcare data, driven by its high value in criminal markets.

As investigations continue, the case underscores the need for stronger data protection measures, enhanced monitoring systems and more robust regulatory oversight to safeguard patient information.

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Microsoft expands cloud footprint in Denmark

Microsoft has opened a new data centre region in Denmark, marking a major investment in cloud infrastructure and digital resilience. The Denmark East region spans multiple sites and aims to support secure, local data processing.

The project is expected to boost economic activity, with billions of dollars in projected spending and strong spillover effects for local technology firms. Organisations adopting cloud services are likely to rely on domestic partners across IT, cybersecurity, and software development.

Businesses and public sector users will gain access to advanced cloud and AI tools, alongside improved data sovereignty under the EU rules. Local data storage and low-latency services are designed to strengthen compliance and operational efficiency.

Sustainability also plays a central role, with renewable energy use, zero-water-cooling systems, and waste-heat recovery supporting local Danish communities. Broader ambitions include reinforcing digital sovereignty while enabling innovation across industries.

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EU investigates cyber attack targeting Commission websites

The European Commission has confirmed a cyber-attack targeting its cloud infrastructure hosting the Europa.eu services, with authorities acting swiftly to contain the incident and prevent disruption to public access.

The attack was identified on 24 March, prompting immediate mitigation measures to secure systems and maintain service continuity.

Preliminary findings indicate that some data may have been accessed from affected websites, although the full scope of the incident remains under investigation.

The Commission has begun notifying the relevant EU entities that may be affected, while continuing efforts to assess the extent of the breach and strengthen safeguards.

Officials confirmed that internal systems were not affected, limiting the overall impact of the attack.

Monitoring efforts remain ongoing, with additional security measures being implemented to protect data and infrastructure, rather than relying solely on existing defences. The Commission has also committed to analysing the incident to improve its cybersecurity capabilities.

The attack comes amid growing cyber and hybrid threats targeting European institutions and critical services.

Existing frameworks, including the NIS2 Directive and the Cyber Solidarity Act, aim to strengthen resilience and coordination across member states, supporting a more unified response to large-scale cyber incidents across the EU.

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Mistral AI launches open-source voice model for enterprises

Mistral AI has introduced a new open-source text-to-speech model designed to power voice assistants and enterprise applications, rather than relying on proprietary solutions.

The model, named Voxtral TTS, marks the company’s entry into the competitive voice AI market alongside players such as OpenAI and ElevenLabs.

Voxtral TTS supports nine languages, including English, French, German, Spanish, and Arabic, allowing organisations to deploy multilingual voice systems across different markets.

The Mistral AI model is designed to operate efficiently on devices such as smartphones, laptops, and even wearables, reducing infrastructure costs rather than relying on large-scale cloud systems.

It can replicate custom voices using only a few seconds of audio, capturing accents and speech patterns while maintaining consistency across languages.

The system is optimised for real-time performance, delivering rapid response times and enabling applications such as live translation, dubbing, and customer engagement tools.

Built on a compact architecture, it balances efficiency with high-quality output, aiming to produce natural-sounding speech instead of robotic voice synthesis. Earlier releases of transcription models suggest a broader strategy to develop a full suite of voice technologies.

Looking ahead, Mistral AI plans to expand towards end-to-end multimodal systems capable of handling audio, text, and image inputs within a single platform.

The company’s focus on open-source development and customisation is intended to attract enterprises seeking flexible solutions, positioning its technology as an alternative to closed ecosystems in the growing voice AI market.

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Oracle expands Oracle AI Database with new agentic AI tools

Oracle has announced new agentic AI capabilities for Oracle AI Database, presenting them as tools for building, deploying, and scaling production-grade AI applications that work with business data across operational databases and analytic lakehouses. The company says the new features are available across multicloud and on-premises environments.

According to Oracle, the announcement concerning Oracle AI Database centres on bringing AI and data together within the database so that agents can securely access real-time enterprise data where it resides. Oracle also says customers can choose AI models, agentic frameworks, open data formats, and deployment platforms, while Oracle Exadata users can use Exadata Powered AI Search for high-volume, multi-step agentic workloads.

Oracle’s new product set includes Oracle Autonomous AI Vector Database, which the company says is intended to simplify vector-based application development while preserving the broader database features of Oracle AI Database. Oracle says the service is available in limited capacity through the Oracle Cloud free tier or a low-cost developer tier, with one-click upgrade to full capabilities as requirements expand.

The company also introduced the Oracle AI Database Private Agent Factory, described as a no-code agent builder that can run in public clouds or on-premises without requiring customers to share data with third parties. Oracle says the service includes pre-built agents such as a Database Knowledge Agent, a Structured Data Analysis Agent, and a Deep Data Research Agent. Oracle Unified Memory Core was also announced as a way to store context for AI agents across vector, JSON, graph, relational, text, spatial, and columnar data, all in a single engine with consistent transactions and security.

A separate part of the announcement focuses on what Oracle describes as AI data risk reduction. Oracle says Deep Data Security applies end-user-specific access rules within the database, so that each user or AI agent acting on a user’s behalf can only see the data the user is allowed to access.

Besides the Oracle AI Database, Oracle also announced Private AI Services Container for customers that want to run private model instances without sharing data with third-party AI providers, including in air-gapped environments. Trusted Answer Search was presented as a method for providing answers based on previously created reports rather than relying directly on large language model responses.

Open standards and interoperability form another part of Oracle’s pitch. Oracle says Vectors on Ice adds native support for vector data stored in Apache Iceberg tables, enabling unified search across database and data-lake content. Oracle also announced an Autonomous AI Database MCP Server to allow external AI agents and MCP clients to access Autonomous AI Database capabilities without custom integration code or manual security administration.

Juan Loaiza, executive vice president of Oracle Database Technologies, said: ‘The next wave of enterprise AI will be defined by customers’ ability to use AI in business-critical production systems to safely deliver breakthrough innovations, insights, and productivity.’ He added: ‘With Oracle AI Database, customers don’t just store data, they activate it for AI. By architecting AI and data together, we help customers quickly build and manage agentic AI applications that can securely query and act on real-enterprise data with stock exchange-level robustness in every leading cloud and on-premises.’

Steven Dickens, CEO and principal analyst at HyperFRAME Research, said: ‘In the era of agentic AI, a unified memory core is essential for agents to maintain context across diverse data types, such as vector, JSON, graph, columnar, spatial, text, and relational, without the latency or staleness of external syncing.’

Dickens added: ‘Only Oracle AI Database delivers this in a single, mission-critical engine with concurrent transactional and analytical processing, high availability, and ironclad security, enabling real-time reasoning over live business data. Organisations without this foundation will struggle with fragmented, unreliable agents, while those leveraging Oracle gain a decisive edge in scalable AI deployment.’

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Google sets 2029 deadline for post-quantum cryptography migration

A transition to post-quantum cryptography by 2029 is being led by Google, aiming to secure digital systems against future quantum computing threats instead of relying on existing encryption standards.

The move reflects growing concern that advances in quantum hardware and algorithms could eventually undermine current cryptographic protections, particularly through attacks that store encrypted data today for decryption in the future.

Quantum computers are expected to challenge widely used encryption and digital signature systems, prompting the need for early transition strategies.

Google has updated its threat model to prioritise authentication services, recognising that digital signatures pose a critical vulnerability if not addressed before the arrival of quantum machines capable of cryptanalysis.

The company is encouraging broader industry action to accelerate migration efforts and reduce long-term security risks.

As part of its strategy, Google is integrating post-quantum cryptography into its products and services.

Android 17 will include quantum-resistant digital signature protection aligned with standards developed by the US’s National Institute of Standards and Technology. At the same time, support has already been introduced in Google Chrome and cloud platforms.

These measures aim to bring advanced security technologies directly to users instead of limiting them to experimental environments.

By setting a clear timeline, Google aims to instil urgency and direction across the wider technology sector.

The transition to post-quantum cryptography is expected to become a critical step in maintaining online security, ensuring that digital infrastructure remains resilient as quantum computing capabilities continue to evolve.

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Cross-device browsing arrives with Samsung Browser for Windows

Samsung Electronics has launched Samsung Browser for Windows, expanding its mobile browsing experience to desktop users. The release focuses on cross-device continuity, allowing users to resume browsing sessions seamlessly between smartphones and PCs.

Users can move between devices without losing progress, extending beyond basic bookmark and history syncing. Integration with Samsung Pass also enables secure storage of personal data, simplifying logins and autofill across websites.

A key addition is the introduction of agentic AI capabilities developed in partnership with Perplexity. The built-in assistant understands page context and user activity, helping manage tabs, summarise content, and deliver more precise search results without leaving the browser.

Availability covers Windows 10 and 11 devices, while AI features are currently limited to the US and South Korea. A wider rollout is expected as Samsung continues to expand its intelligent browsing ecosystem.

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