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Exclusive: Upscale AI wants to be the next Cisco -- and it just raised another $190 million | Fortune
Every time computing has fundamentally changed, a new networking company has risen with it. When PCs started connecting to the internet in the 1990s, Cisco and Juniper built the plumbing. When the internet moved into the cloud, Arista and Broadcom took over. Upscale AI is betting AI is that same kind of paradigm shift -- and that it's the company to build the network for this one. The Santa Clara, Calif., startup raised $190 million in a Series A-1 round, bringing its total funding to $500 million and its valuation to $2 billion -- all in under 18 months, Fortune learned exclusively. Premji Invest, a $15 billion investment fund that previously backed one of the founders' earlier exits, led the round. New investors include Nvidia, Salesforce Ventures, Temasek, and Seligman Ventures, alongside returning backers Mayfield, Tiger Global, StepStone, Maverick Silicon, and Prosperity7. The opportunity Upscale is chasing is enormous. Spending on AI data center switches is forecasted to surpass $100 billion annually by 2030, according to Dell'Oro Group, as Microsoft, Google, Meta, and Amazon race to build out AI infrastructure. The five largest tech companies will spend roughly $660 billion to $690 billion on infrastructure in 2026 alone, nearly doubling what they spent in 2025. "Legacy data center networks were designed for a pre-AI world, not for the massive, tightly synchronized scale-up required by modern AI workloads," Umesh Padval, managing partner at Seligman Ventures, told Fortune. Upscale is trying to solve an AI chip communication issue. Right now, the graphics processing units that power tools like ChatGPT mostly can't talk to each other efficiently unless they're all from the same manufacturer. It's like if your laptop could only connect to the internet if every device in your house was also made by the same company. Upscale is building what it calls an open-standard networking fabric that lets chips from different manufacturers work together at full speed. "We are trying to get those GPUs to talk the same language," cofounder and CEO Barun Kar told Fortune. Nvidia's proprietary NVLink and InfiniBand technologies currently dominate AI data center networking and lock customers into Nvidia's ecosystem. But Upscale cofounder and Executive Chairman Rajiv Khemani doesn't see a contradiction. "The world in the future is going to be a variety of heterogeneous AI systems," he told Fortune. "It's not an Nvidia or our solution. It's a solution where everything coexists with each other." Lead investor Sandesh Patnam, managing partner at Premji Invest, sees the whitespace clearly. "If you look at everything that has been done over the last three or four years -- if the compute layer itself was never built for GenAI workloads, look at everything else in that stack," he told Fortune. "Networking, storage, caching -- every single layer of the infrastructure was never built for this workload." Premji Invest previously backed Khemani's prior company, Innovium, through its late stages, then watched Marvell acquire it for $1.1 billion in 2021. Khemani is the serial entrepreneur anchoring investor conviction. Before Innovium, which was the only startup in a decade to meaningfully crack Broadcom's lock on networking chip market share, he ran Intel's network processing business and served as COO at Cavium. Kar, the company's CEO, was a founding team member at Palo Alto Networks and oversaw Juniper Networks' entire Ethernet portfolio before the two joined forces at Auradine, a blockchain and AI chip startup where Upscale was incubated. Upscale's $500 million in funding, however, won't last forever in this business. Custom chip design at today's most advanced manufacturing nodes costs hundreds of millions of dollars before a product ships. In addition, suppliers increasingly want companies to commit to, and pay for, production slots up to two years in advance. The company has also scaled to several hundred employees in under a year. "To be able to go to our suppliers and lock in that supply, people are interested in seeing how strong our balance sheet is," Khemani said. And competitive pressure is mounting. Nexthop AI, a direct rival focused on custom AI networking for the same hyperscaler and neocloud customers, closed a $500 million Series B round in March at a $4.2 billion valuation. Broadcom and Nvidia have effectively unlimited R&D budgets. And the open networking standard Upscale is building on -- backed by AMD, Intel, Google, Meta, Microsoft, and 80+ other companies -- still needs to prove it can match Nvidia's proprietary performance in real-world AI training. Asked whether this is the run to an IPO, Khemani didn't deflect. "An IPO would be an interesting milestone," he said. "But we think it's going to be much bigger than that."
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Upscale AI valued at $2 billion after funding extension
June 22 (Reuters) - AI networking infrastructure firm Upscale AI said on Monday it had raised a $190 million extension to its early-stage funding round, bringing its valuation to $2 billion. Here are some details: o The investment brings the company's total funding to $500 million. Premji Invest, the investment unit of Indian billionaire Azim Premji, led the round. o New investors, including Nvidia, Salesforce Ventures, Seligman Ventures and Singapore state investor Temasek, joined the round. o Existing investors, including Maverick Silicon, Mayfield, Prosperity7 Ventures, StepStone Group and Tiger Global also participated in the funding round. o Upscale AI builds hardware, systems and software that connect AI chips, memory and storage across one fast network, helping large AI models train and run more efficiently with fewer delays. o The company said it will use the capital to expand its business and speed delivery of its advanced AI-native networking technology. o Upscale AI had raised $200 million in January, in a Series A round led by Tiger Global, Premji Invest, and Xora Innovation. (Reporting by Anhata Rooprai in Bengaluru; Editing by Tasim Zahid)
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Upscale AI closed a $190 million Series A-1 round led by Premji Invest, bringing total funding to $500 million and valuation to $2 billion in under 18 months. The startup is building open-standard networking fabric to connect AI chips from different manufacturers, challenging Nvidia's dominance in AI data center switches as spending approaches $100 billion annually by 2030.
Upscale AI has raised $190 million in a Series A-1 round, pushing its total funding to $500 million and valuation to $2 billion—all achieved in under 18 months.
Premji Invest
, a $15 billion investment fund, led the round with participation from new investors includingNvidia
,Salesforce Ventures
,Temasek
, and Seligman Ventures. Returning backersMayfield
,Tiger Global
, StepStone, Maverick Silicon, and Prosperity7 also joined the funding extension. The Santa Clara-based startup had previously raised $200 million in January during its Series A round led by Tiger Global, Premji Invest, and Xora Innovation.
Source: Fortune
The company is tackling a critical challenge in AI infrastructure: graphics processing units that power tools like ChatGPT typically can't communicate efficiently unless they're from the same manufacturer. Upscale AI is developing an open-standard networking fabric designed to connect AI chips from different vendors at full speed. "We are trying to get those GPUs to talk the same language," cofounder and CEO
Barun Kar
explained. The company builds hardware, systems, and software that connect AI chips, memory, and storage across one fast network, helping large AI models train and run more efficiently with fewer delays.Source: Market Screener
Spending on is forecasted to surpass $100 billion annually by 2030, according to Dell'Oro Group, as Microsoft, Google, Meta, and Amazon race to build out AI infrastructure. The five largest tech companies will spend roughly $660 billion to $690 billion on infrastructure in 2026 alone, nearly doubling what they spent in 2025. Currently, Nvidia's proprietary
NVLink
andInfiniBand
technologies dominate AI data center networking and lock customers into Nvidia's ecosystem. However, cofounder and Executive ChairmanRajiv Khemani
sees room for coexistence. "The world in the future is going to be a variety ofheterogeneous AI systems
," he told Fortune. "It's not an Nvidia or our solution. It's a solution where everything coexists with each other."Related Stories
Upscale AI is betting that AI represents the same kind of fundamental computing shift that created networking giants in previous eras. When PCs started connecting to the internet in the 1990s,
Cisco
and Juniper built the plumbing. When the internet moved into the cloud,Arista
andBroadcom
took over. "Legacy data center networks were designed for a pre-AI world, not for the massive, tightly synchronized scale-up required by modern AI workloads," Umesh Padval, managing partner at Seligman Ventures, told Fortune. Sandesh Patnam, managing partner at Premji Invest, emphasized the infrastructure gap: "If the compute layer itself was never built for GenAI workloads, look at everything else in that stack. Networking, storage, caching—every single layer of the infrastructure was never built for this workload."Khemani anchors investor conviction as a serial entrepreneur who previously founded Innovium, the only startup in a decade to meaningfully crack Broadcom's lock on networking chip market share before Marvell acquired it for $1.1 billion in 2021. Premji Invest backed Innovium through its late stages. Kar, the company's CEO, was a founding team member at Palo Alto Networks and oversaw Juniper Networks' entire Ethernet portfolio. The two joined forces at Auradine, a blockchain and AI chip startup where Upscale was incubated. However, competitive pressure is mounting. Nexthop AI, a direct rival focused on custom
AI networking
for the same hyperscaler customers, closed a $500 million Series B round in March at a $4.2 billion valuation. Custom chip design at today's most advanced manufacturing nodes costs hundreds of millions of dollars before a product ships, and suppliers increasingly want companies to commit to production slots up to two years in advance. The company has scaled to several hundred employees in under a year and will use the capital to expand its business and speed delivery of itsAI-native networking technology
. When asked whether this is the run to an IPO, Khemani didn't deflect: "An IPO would be an interesting milestone. But we think it's going to be much bigger than that."Summarized by
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