Strawmap Unpacked — Vitalik Buterin Breaks Down Ethereum’s Push for Faster UX on Layer 1

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The post $683M to Nscale for 60,000 GPUs by 2026 appeared on BitcoinEthereumNews.com. Nvidia will invest $683 million in Nscale, the spin-off of Arkon Energy spun off in May 2024 to offer AI cloud services in Europe, with the goal of bringing up to 60,000 GPUs to the United Kingdom. The capital injection, in line with the push towards advanced AI infrastructure, is part of a joint effort to strengthen strategic computing capabilities in the region; the rollout is planned in stages between 2025 and 2026. The operation also coincides with the UK government’s plan to accelerate AI adoption and security, outlined by the government on January 13, 2025. According to data collected by industry analysts, updated as of September 17, 2025, projects that convert mining sites into AI nodes can reduce the time-to-market compared to new facilities by about 30–50%. Our field market analyses indicate typical improvements in PUE in the range of 10–20% after energy optimization interventions and the introduction of liquid cooling. Operators we have monitored also report that long-term energy contracts and proximity to major interconnection nodes are determining factors for the economic sustainability of the clusters. The Agreement in Brief: Figures, Goals, Timeline Investment: $683 million allocated to Nscale. Target capacity: up to 60,000 GPUs deployed in data centers in the United Kingdom. Timeline: phased rollout activity scheduled between 2025 and 2026. Origin Nscale: spin-off from Arkon Energy, created in May 2024 to enter the European market for AI cloud services. From miner to cloud AI: the Nscale spinoff Nscale is born from the conversion of mining assets into nodes for AI workloads, transforming facilities designed for energy-intensive and single-use operations into platforms with high computational value and greater flexibility. The strategy — based on the reuse of existing sites and network connections — allows for reduced startup times and capex, a significant advantage when targeting clusters dedicated…

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