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Tech May 31, 2026

SoftBank to Invest Up to €75 B in French AI Data Centers

SoftBank Group announced a plan to invest up to €75 billion to build AI‑focused data centers in Fra…
SoftBank's €75 B Commitment to French AI Data CentersSoftBank Group disclosed on 30 May 2026 that it will allocate up to €75 billion (≈ $87 billion) to expand data‑center capacity across France, marking its biggest AI‑infrastructure investment in Europe.Blueprint for a 5 GW AI‑Ready Data Center Network in FranceThe rollout will be executed in phases:First phase: construction of facilities in Dunkirk (Loon‑Plage), Bosquel and Bouchain delivering 3.1 GW by 2031 to the Hauts‑de‑France region.Long‑term goal: develop and operate up to 5 GW of additional capacity across the country.Financial Scale and Capacity Targets of the French ExpansionTotal investment: €75 billion (~$87 billion).Initial capacity deliverable: 3.1 GW by 2031.Ultimate capacity ambition: 5 GW of AI‑optimized data center power.Strategic Implications for Europe’s AI Ecosystem and Energy DebateThe plan aligns with French Economic Minister Roland Lescure's view that the project testifies to President Emmanuel Macron's ambition to position France as a leading AI destination. However, it arrives amid growing U.S. opposition to data‑center construction over environmental and grid‑stability concerns, highlighting the need for careful energy sourcing.What the Next Five Years Could Hold for European AI InfrastructureIf the rollout stays on schedule, France could become a primary hub for AI workloads, attracting further private and public investment. The success of the project will likely influence European policy on data‑center energy use and could spur similar large‑scale AI infrastructure commitments across the continent.
#SoftBank #France #Data Centers
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Tech May 19, 2026

SandboxAQ Integrates Quantitative Drug Discovery Models into Claude, Removing the Need for Computing Expertise

SandboxAQ has partnered with Anthropic to embed its physics‑grounded large quantitative models (LQM…
The Leap: Conversational Access to Quantitative Drug‑Discovery ModelsIn a bold move to democratize high‑performance chemistry, SandboxAQ has integrated its proprietary large quantitative models (LQMs) into Anthropic’s conversational AI, Claude. The partnership eliminates the need for users to provision costly computing resources, allowing scientists to query complex quantum‑chemistry simulations in natural language.SandboxAQ Teams with Anthropic to Embed LQMs in ClaudeThe five‑year‑old Alphabet spin‑out, chaired by Eric Schmidt, announced the integration after raising $950 million from investors. The LQMs are “physics‑grounded,” meaning they are built on scientific equations and real‑world lab data rather than purely on text patterns. They can perform quantum chemistry calculations, molecular‑dynamics runs, and micro‑kinetics simulations, delivering predictions about candidate molecules before any wet‑lab work begins.Financial and Market Scale of the Quantitative Economy$950 million raised to date by SandboxAQ.The company positions its LQMs within a $50+ trillion quantitative economy spanning biopharma, finance, energy, and advanced materials.Traditional drug‑discovery projects can cost billions of dollars and take a decade to yield a viable molecule.Why a Conversational Interface Could Disrupt Pharma R&D;Historically, only computationally sophisticated teams could leverage large‑scale chemistry models, requiring on‑premise GPUs or cloud clusters. By surfacing these capabilities through natural‑language chat, SandboxAQ lowers the barrier for:Computational scientists seeking rapid hypothesis testing.Experimentalists who lack deep AI‑infrastructure expertise.Large pharmaceutical and industrial firms aiming to accelerate material discovery.Customers have reported that existing software failed to translate complex problems into actionable results, a gap SandboxAQ hopes to fill.Future Outlook: Scaling AI‑Driven Chemistry Across IndustriesWith the Claude integration, SandboxAQ expects broader adoption beyond pharma, extending into energy, finance, and advanced materials where quantitative simulations are critical. As more firms adopt conversational AI for scientific workflows, the competitive advantage will shift from model performance to usability and integration speed. The next wave may see LQMs embedded in other enterprise assistants, further blurring the line between AI chat and high‑performance scientific computing.
#SandboxAQ #Anthropic #Claude
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