Artificial intelligence networking infrastructure company Upscale AI has raised $190 million in new funding.
The startup’s Series A-1 round, announced on Monday (June 22), will raise Upscale’s valuation to $2 billion and help accelerate the delivery of its network technology.
The company said in an announcement that this funding round is evidence of strong confidence among investors in the AI networking market in general and Upscale AI’s solutions in particular.
“AI infrastructure is being redefined at cluster scale, with networking becoming one of the most critical bottlenecks,” said Varun Kar, CEO of the company.
“Upscale AI is building a high-performance, open-standard AI fabric purpose-built for large-scale, synchronous workloads. This investment strengthens our vision and enables us to scale our business as we work with leading neocloud and hyperscale infrastructure providers to meet the growing demand for open, interoperable AI infrastructure.”
Upscale AI provides a “unified open-standard AI fabric” for connecting accelerators, memory, and storage to AI engines, and is designed to eliminate network bottlenecks across large-scale, synchronized AI workloads, according to the release.
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The company says it is partnering with multiple hyperscalers and neo-cloud infrastructure providers, and customer evaluations and deployments are occurring “across scale-out and scale-up networking environments.”
Fortune magazine’s report on the round likens Upscale’s efforts in the data center space to Cisco’s efforts in the early days of connected PCs, noting that annual spending on AI data center switches is expected to exceed $100 billion by 2030.
“Traditional data center networks were designed for a pre-AI world, not for the large, tightly synchronized scale-up required for modern AI workloads,” Umesh Padval, managing partner at round investment firm Seligman Ventures, told Fortune.
In other AI news, PYMNTS recently wrote about new research showing that while artificial intelligence adoption continues to accelerate across industries and demographics, consumers are unevenly embracing the technology and selectively empowering it rather than universally.
“This creates a more complex future than many technology companies originally envisioned,” the report said. “In Silicon Valley, the general assumption is that consumers ultimately want AI systems that can independently book travel, purchase products, manage finances, and make everyday decisions with minimal human oversight.”
However, as research has shown, consumers are far more accepting of AI acting as a collaborative layer than as a replacement for human agency.
“Product recommendations, deal comparisons, shopping structure, and personalized discovery all rank highly in consumer comfort levels,” PYMNTS added. “These are areas where AI can improve efficiency while giving users control.”
