Data centre operators and researchers are shifting from copper wiring toward photonics to cut the energy used by power distribution, cooling, and heat from electronic networking. A typical 100MW data centre uses about 400 tonnes of copper, including up to 70 tonnes in servers and up to 20 tonnes in network wiring. This changes data-centre infrastructure by replacing some copper interconnects with light-based optical links while requiring new manufacturing, installation, and thermal-reliability practices before wider deployment.
Nscale will test Wall Street’s demand for its IPO as its revenue depends mainly on two AI computing customers, Microsoft and Anthropic. Anthropic’s deal is worth $44.6 billion and is contingent on Nscale securing financing, with the customer able to cancel if Nscale misses milestones. The listing on the NYSE and its expected $35 billion valuation plus plans to raise $3 billion shift investor focus toward the risk of concentrated AI infrastructure revenue.
Verda, a Helsinki-based AI cloud provider, closed a Series B funding round and reached unicorn valuation as it builds out GPU capacity for AI training and inference. The round raised 189 million dollars (about 161 million euros) and was led by Emergence Capital. The company will use the money to expand data centers, hardware, and its software platform, aiming for more than 250 megawatts in operation by 2027.
Taiwanese chip and AI experts describe how Taiwan’s semiconductor dominance makes advanced AI chips widely available while Taiwan is largely absent from training the AI models that run on them under pressure from Beijing.
NVIDIA, NTU, and MIT released SoL-Pi, an MIT-licensed extension for the open-source Pi coding agent that uses auto-research loops to tune a harness for efficiency. On the 51-task EdgeBench benchmark, SoL-Pi cut recorded token traffic by 44.7% to 49.0% versus Pi and reduced API cost by about 33%. SoL-Pi ships on GitHub and is deployable on an unmodified Pi release (tested with Pi 0.85.1 and Node.js 22.19+), with efficiency improvements carried through to closely matched scores.
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