AI company Upscale AI raises $190 million, led by Premji Invest, with participation from Nvidia and others BlockBeats News: On June 22nd, AI infrastructure startup Upscale AI announced the completion of a new round of funding of $190 million, with investors including Nvidia and Salesforce Ventures. After this round of funding, the company's valuation reached $2 billion. This round of financing is part of its Series A extension, bringing the cumulative financing scale of Upscale AI to $500 million. It is led by Premji Invest, with new investors such as Temasek and Seligman Ventures participating, and old shareholders such as Maverick Silicon, Mayfield, Prospery7 Ventures, StepStone Group, and Tiger Global continuing to invest. Upscale AI focuses on the construction of network infrastructure for large-scale AI clusters, attempting to solve the "computational power interconnection 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 building an open standard network interconnection solution suitable for large-scale AI workloads. The company stated that as the scale of AI clusters continues to expand, network performance is becoming a key limiting factor affecting GPU utilization and training efficiency. Inefficient interconnectivity will directly lead to wasted computing power and increased training costs. At present, Upscale AI has collaborated with multiple large-scale cloud vendors and "new cloud" infrastructure providers for evaluation and deployment, but has not disclosed specific customer information. Analysts point out that AI infrastructure investment is spreading from the model layer to the underlying hardware and network layers, and network interconnection is becoming one of the most closely watched key infrastructure tracks after GPUs. [Original link]