Mistral AI expands European footprint with acquisition of Koyeb

Mistral AI has strengthened its position in Europe’s AI sector through the acquisition of Koyeb. The deal forms part of its strategy to build end-to-end capacity for deploying advanced AI systems across European infrastructure.

The company has been expanding beyond model development into large-scale computing. It is currently building new data centre facilities, including a primary site in France and a €1.2 billion facility in Sweden, both aimed at supporting high-performance AI workloads.

The acquisition follows a period of rapid growth for Mistral AI, which reached a valuation of €11.7 billion after investment from ASML. French public support has also played a role in accelerating its commercial and research progress.

Mistral AI now positions itself as a potential European technology champion, seeking to combine model development, compute infrastructure and deployment tools into a fully integrated AI ecosystem.

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Rising DRAM prices push memory to the centre of AI strategy

The cost of running AI systems is shifting towards memory rather than compute, as the price of DRAM has risen sharply over the past year. Efficient memory orchestration is now becoming a critical factor in keeping inference costs under control, particularly for large-scale deployments.

Analysts such as Doug O’Laughlin and Val Bercovici of Weka note that prompt caching is turning into a complex field.

Anthropic has expanded its caching guidance for Claude, with detailed tiers that determine how long data remains hot and how much can be saved through careful planning. The structure enables significant efficiency gains, though each additional token can displace previously cached content.

The growing complexity reflects a broader shift in AI architecture. Memory is being treated as a valuable and scarce resource, with optimisation required at multiple layers of the stack.

Startups such as Tensormesh are already working on cache optimisation tools, while hyperscalers are examining how best to balance DRAM and high-bandwidth memory across their data centres.

Better orchestration should reduce the number of tokens required for queries, and models are becoming more efficient at processing those tokens. As costs fall, applications that are currently uneconomical may become commercially viable.

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China boosts AI leadership with major model launches ahead of Lunar New Year

Leading Chinese AI developers have unveiled a series of advanced models ahead of the Lunar New Year, strengthening the country’s position in the global AI sector.

Major firms such as Alibaba, ByteDance, and Zhipu AI introduced new systems designed to support more sophisticated agents, faster workflows and broader multimedia understanding.

Industry observers also expect an imminent release from DeepSeek, whose previous model disrupted global markets last year.

Alibaba’s Qwen 3.5 model provides improved multilingual support across text, images and video while enabling rapid AI agent deployment instead of slower generation pipelines.

ByteDance followed up with updates to its Doubao chatbot and the second version of its image-to-video tool, SeeDance, which has drawn copyright concerns from the Motion Picture Association due to the ease with which users can recreate protected material.

Zhipu AI expanded the landscape further with GLM-5, an open-source model built for long-context reasoning, coding tasks, and multi-step planning. The company highlighted the model’s reliance on Huawei hardware as part of China’s efforts to strengthen domestic semiconductor resilience.

Meanwhile, excitement continues to build for DeepSeek’s fourth-generation system, expected to follow the widespread adoption and market turbulence associated with its V3 model.

Authorities across parts of Europe have restricted the use of DeepSeek models in public institutions because of data security and cybersecurity concerns.

Even so, the rapid pace of development in China suggests intensifying competition in the design of agent-focused systems capable of managing complex digital tasks without constant human oversight.

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Report warns of widening 5G capability gap

A new study by network analytics firm Ookla finds that while global 5G coverage gaps are narrowing, a deeper divide is emerging in network capabilities, with Europe falling behind. The report argues that the real competition is no longer about basic rollout, but about how effectively countries deploy advanced standalone (SA) 5G networks to support innovation, industry, and high-performance services.

According to the findings, North America and leading Asian markets have moved more decisively toward full standalone 5G architectures, achieving faster speeds and improved responsiveness. Gulf Cooperation Council countries have also advanced rapidly, with the region described as a 5G SA performance leader in 2025, delivering median download speeds reportedly more than five times higher than those in Europe.

Europe, by contrast, is characterised as lagging due to slow commercialisation, fragmented device ecosystems, and uneven tariff structures. While some countries, such as Spain, are cited as positive examples, the broader region risks losing ground as others accelerate deployment of 5G Advanced technologies, including enhanced spectrum use and more sophisticated network optimisation tools.

The report highlights national policy frameworks as a decisive factor in 5G competitiveness. Spectrum allocation strategies, infrastructure investment rules, and regulatory innovation are seen as equally important as technical upgrades. The findings come as the European Union advances its proposed Digital Networks Act, which has drawn mixed reactions from industry stakeholders concerned about investment conditions.

Beyond deployment, Ookla stresses that simply launching standalone 5G does not guarantee strong performance. Advanced optimisation strategies, such as cloud-native network design, deeper virtualisation, and improved spectrum efficiency, are key to unlocking the technology’s full potential. Enterprise adoption, initially slow under earlier non-standalone models, is now showing signs of growth, particularly in markets offering network slicing services.

The study concludes that decisions made in the next two years will be critical for long-term digital competitiveness. As 5G increasingly intersects with national AI strategies, industrial policy, and digital sovereignty agendas, countries that treat standalone networks as a strategic priority may gain a structural advantage, while others risk seeing the gap widen further as the transition toward 6G approaches.

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Russia signals no immediate Google ban as Android dependence remains critical

Officials in Russia have confirmed that no plans are underway to restrict access to Google, despite recent public debate about the possibility of a technical block. Anton Gorelkin, a senior lawmaker, said regulators clarified that such a step is not being considered.

Concerns centre on the impact a ban would have on devices running Android, which are used by a significant share of smartphone owners in the country.

A block on Google would disrupt essential digital services instead of encouraging the company to resolve ongoing legal disputes involving unpaid fines.

Gorelkin noted that court proceedings abroad are still in progress, meaning enforcement options remain open. He added that any future move to reduce reliance on Google services should follow a gradual pathway supported by domestic technological development rather than abrupt restrictions.

The comments follow earlier statements from another lawmaker, Andrey Svintsov, who acknowledged that blocking Google in Russia is technically feasible but unnecessary.

Officials now appear focused on creating conditions that would allow local digital platforms to grow without destabilising existing infrastructure.

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Latam-GPT signals new AI ambition in Latin America

Chile has introduced Latam-GPT to strengthen Latin America’s presence in global AI.

The project, developed by the National Centre for Artificial Intelligence with support across South America, aims to correct long-standing biases by training systems on the region’s own data instead of material drawn mainly from the US or Europe.

President Gabriel Boric said the model will help maintain cultural identity and allow the region to take a more active role in technological development.

Latam-GPT is not designed as a conversational tool but rather as a vast dataset that serves as the foundation for future applications. More than eight terabytes of information have been collected, mainly in Spanish and Portuguese, with plans to add indigenous languages as the project expands.

The first version has been trained on Amazon Web Services. At the same time, future work will run on a new supercomputer at the University of Tarapacá, supported by millions of dollars in regional funding.

The model reflects growing interest among countries outside the major AI hubs of the US, China and Europe in developing their own technology instead of relying on foreign systems.

Researchers in Chile argue that global models often include Latin American data in tiny proportions, which can limit accurate representation. Despite questions about resources and scale, supporters believe Latam-GPT can deliver practical benefits tailored to local needs.

Early adoption is already underway, with the Chilean firm Digevo preparing customer service tools based on the model.

These systems will operate in regional languages and recognise local expressions, offering a more natural experience than products trained on data from other parts of the world.

Developers say the approach could reduce bias and promote more inclusive AI across the continent.

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Next-gen AI infrastructure boosted by Samsung HBM4

Samsung Electronics has commenced mass production and commercial shipments of its next-generation HBM4 memory, marking the first industry deployment of the advanced high-bandwidth solution.

The launch strengthens the company’s position in AI infrastructure hardware as demand for accelerated computing intensifies.

Built on sixth-generation 10nm-class DRAM and a 4nm logic base die, HBM4 delivers transfer speeds of 11.7Gbps, with performance scalable to 13Gbps. Bandwidth per stack has surged, reducing data bottlenecks as AI models and processing demands grow.

Engineering upgrades extend beyond raw speed. Enhanced stacking architecture, low-power design integration, and thermal optimisation have improved energy efficiency and heat dissipation, supporting large-scale data centre deployments and sustained GPU workloads.

Production scale-up is already in motion, backed by expanded manufacturing capacity and industry partnerships. Samsung expects HBM revenue growth to accelerate into 2026, with next-generation variants and custom configurations scheduled for future release cycles.

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Saudi Arabia recasts Vision 2030 with new priorities

The new phase of Vision 2030 is being steered toward technology, digital infrastructure and advanced industry by Saudi Arabia instead of relying on large urban construction schemes.

Officials highlight the need to support sectors that can accelerate innovation, strengthen data capabilities and expand the kingdom’s role in global tech development.

The move aligns with ongoing efforts to diversify the economy and build long-term competitiveness in areas such as smart manufacturing, logistics technology and clean energy systems.

Recent adjustments involve scaling back or rescheduling some giga projects so that investment can be channelled toward initiatives with strong digital and technological potential.

Elements of the NEOM programme have been revised, while funding attention is shifting to areas that enable automation, renewable technologies and high-value services.

Saudi Arabia aims to position Riyadh as a regional hub for research, emerging technologies and advanced industries. Officials stress that Vision 2030 remains active, yet its next stage will focus on projects that can accelerate technological adoption and strengthen economic resilience.

The Public Investment Fund continues to guide investment toward ecosystems that support innovation, including clean energy, digital infrastructure and international technology partnerships.

An approach that reflects earlier recommendations to match economic planning with evolving skills, future labour market needs and opportunities in fast-growing sectors.

Analysts note that the revised direction prioritises sustainable growth by expanding the kingdom’s participation in global technological development instead of relying mainly on construction-driven momentum.

Social and regulatory reforms connected to digital transformation also remain part of the Vision 2030 agenda. Investments in training, digital literacy and workforce development are intended to ensure that young people can participate fully in the technology sectors the kingdom is prioritising.

With such a shift, the government seeks to balance long-term economic diversification with practical technological goals that reinforce innovation and strengthen the country’s competitive position.

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Russia tightens controls as Telegram faces fresh restrictions

Authorities in Russia have tightened their grip on Telegram after the state regulator Roskomnadzor introduced new measures accusing the platform of failing to curb fraud and safeguard personal data.

Users across the country have increasingly reported slow downloads and disrupted media content since January, with complaints rising sharply early in the week. Although officials initially rejected claims of throttling, industry sources insist that download speeds have been deliberately reduced.

Telegram’s founder, Pavel Durov, argues that Roskomnadzor is trying to steer people toward Max rather than allowing open competition. Max is a government-backed messenger widely viewed by critics as a tool for surveillance and political control.

While text messages continue to load normally for most, media content such as videos, images and voice notes has become unreliable, particularly on mobile devices. Some users report that only the desktop version performs without difficulty.

The slowdown is already affecting daily routines, as many Russians rely on Telegram for work communication and document sharing, much as workplaces elsewhere rely on Slack rather than email.

Officials also use Telegram to issue emergency alerts, and regional leaders warn that delays could undermine public safety during periods of heightened military activity.

Pressure on foreign platforms has grown steadily. Restrictions on voice and video calls were introduced last summer, accompanied by claims that criminals and hostile actors were using Telegram and WhatsApp.

Meanwhile, Max continues to gain users, reaching 70 million monthly accounts by December. Despite its rise, it remains behind Telegram and WhatsApp, which still dominate Russia’s messaging landscape.

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Slovenia sets out an ambitious AI vision ahead of global summit

Ambitions for AI were outlined during a presentation at the Jožef Stefan Institute, where Slovenia’s Prime Minister Robert Golob highlighted the country’s growing role in scientific research and technological innovation.

He argued that AI has moved far beyond a supportive research tool and is now shaping the way societies function.

He called for deeper cooperation between engineering and the natural sciences instead of isolated efforts, while stressing that social sciences and the humanities must also be involved to secure balanced development.

Golob welcomed the joint bid for a new national supercomputer, noting that institutions once competing for excellence are now collaborating. He said Europe must build a stronger collective capacity if it wants to keep pace with the US and China.

Europe may excel in knowledge, he added, yet it continues to lag behind in turning that knowledge into useful tools for society.

Government officials set out the investment increases that support Slovenia’s long-term scientific agenda. Funding for research, innovation and development has risen sharply, while work has begun on two major projects: the national supercomputer and the Centre of Excellence for Artificial Intelligence.

Leaders from the Jožef Stefan Institute praised the government for recognising Slovenia’s AI potential and strengthening financial support.

Slovenia will present its progress at next week’s AI Action Summit in Paris, where global leaders, researchers, civil society and industry representatives will discuss sustainable AI standards.

Officials said that sustained investment in knowledge remains the most reliable route to social progress and international competitiveness.

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