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Upscale AI completes a $190 million funding round with a $2 billion valuation; Premji Invest leads the round, with participation from NVIDIA and others.

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Mars Finance News: AI infrastructure startup Upscale AI announced the completion of a $190 million new funding round, with investors including NVIDIA and Salesforce Ventures. After this round, the company's valuation reached $2 billion. This funding is part of its Series A extension, bringing Upscale AI's total funding to $500 million, led by Premji Invest, with new investors such as Temasek and Seligman Ventures participating, and existing shareholders like Maverick Silicon, Mayfield, Prosperity7 Ventures, StepStone Group, and Tiger Global continuing to participate. Upscale AI focuses on building network infrastructure for large-scale AI clusters, aiming to solve the "interconnect bottleneck" problem in AI training and inference. The company is developing a full-stack AI network architecture covering chips, systems, and software, with the goal of creating an open standard network interconnection solution suitable for large-scale AI workloads. The company states that as AI cluster sizes continue to grow, network performance is becoming a key limiting factor affecting GPU utilization and training efficiency, with inefficient interconnects directly leading to wasted computing power and increased training costs. Currently, Upscale AI has partnered with several hyperscale cloud providers and "new cloud" infrastructure providers for evaluation and deployment, but specific customer information has not been disclosed. Analysts point out that AI infrastructure investment is expanding from model layers to underlying hardware and network layers, with network interconnects becoming one of the most watched key infrastructure sectors after GPUs.
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