Upscale AI Raises $190 Million as Nvidia Joins the Round
Upscale AI, a year-old startup building networking chips purpose-made for artificial intelligence data centers, said Monday it has raised $190 million in fresh capital and is now valued at $2 billion. The round drew a notable new backer in Nvidia, the dominant supplier of the graphics processors that Upscale's hardware is designed to connect.
The financing arrived as an extension to a $200 million Series A the company closed in January, and it pushes Upscale's total funding to roughly $500 million in under 18 months. Premji Invest, the India-based fund that has previously backed CrowdStrike and Sysdig, led the round. Salesforce Ventures, Seligman Ventures and Temasek joined as new investors, alongside returning backers including Mayfield, Tiger Global and Prosperity7 Ventures. Nvidia, whose chips Upscale's switches are built to serve, came in as a strategic investor.
Why networking became the bottleneck
The story behind the raise is a structural shift in how AI gets built. Training and running large models no longer happens on a single machine. It happens across racks of thousands of GPUs that must behave as one giant computer, trading data constantly. When the chips wait on each other, expensive silicon sits idle. Increasingly, the limiting factor in an AI cluster is not the processors themselves but the network stitching them together.
That is the gap Upscale is chasing. A data center relies on two broad classes of switch. Scale-up switches move data between servers packed inside the same rack. Scale-out switches handle traffic between racks. Upscale is building both, tuned specifically for AI workloads rather than the general-purpose enterprise traffic that older switch designs were optimized for.
The technical pitch centers on predictability. The math behind a single AI response runs in sequence, so one delayed calculation stalls everything downstream. Those delays often trace back to GPUs swapping data more slowly than expected. Upscale says its scale-up line delivers what it calls deterministic latency, meaning data-movement speeds can be known in advance and unexpected stalls avoided. The capability runs on a custom chip the company calls SkyHammer, which supports open protocols built for this kind of traffic, including UALink, a standard that lets GPUs read one another's memory as if it were local, and ESUN, an AI-tuned flavor of Ethernet.
On the scale-out side, Upscale is leaning directly on Nvidia. In March it previewed a switch line built around Nvidia's Spectrum-X silicon, paired with SONiC, an open-source network operating system Microsoft originally created for its own cloud. Upscale has built an AI-tuned version of SONiC meant to make the notoriously fiddly software easier to run. The Nvidia investment, then, is less a surprise than a deepening of an existing relationship; Upscale was already a member of Nvidia's partner network.
"AI infrastructure is being redefined at cluster scale, and networking is one of the most critical bottlenecks," Chief Executive Barun Kar said in announcing the round. The company says its hardware is being evaluated by several hyperscalers and so-called neocloud operators, the new wave of GPU-rental providers, and that the new money will go toward turning those trials into commercial deployments.
A crowded, fast-moving market
Upscale is a newcomer in a category suddenly thick with money. The startup was founded only in 2025 by Kar and Rajiv Khemani, spun out of Bitcoin-mining hardware firm Auradine, and has already grown to around 200 employees. Its founders carry deep networking pedigrees: Kar previously worked at Palo Alto Networks, Juniper and Motorola, while Khemani held senior roles at chipmakers Innovium and Cavium and earlier at Intel.
The competitive backdrop is steep. Nvidia sells its own Spectrum-X switches. Broadcom and Arista Networks dominate the merchant switching market. Cisco, the company Upscale's investors openly compare it to, remains the incumbent giant of enterprise networking. Upscale's wager is that a clean-sheet design free of legacy baggage, built around open standards rather than a single vendor's proprietary stack, can win share as buyers look to avoid lock-in. Spending on AI data center switches is forecast to top $100 billion a year by 2030, according to Dell'Oro Group, a number large enough to support several winners.
"The progress we've seen since our initial investment has only deepened our conviction," said Sandesh Patnam, managing partner at Premji Invest, in explaining why the firm led the extension.
What it means for founders and operators
For founders watching the AI infrastructure boom, Upscale is a useful case study in where value is migrating. The first phase of the buildout rewarded whoever sold compute. The next phase is rewarding the less glamorous layers around it: the networking, memory, power and cooling that decide whether all that compute actually runs efficiently. Picks-and-shovels businesses adjacent to a gold rush often outlast the rush itself, and investors are clearly pricing that in.
There is also a lesson in speed and pedigree. Upscale went from founding to a $2 billion valuation in roughly a year, raising half a billion dollars before shipping a commercial product. That pace is possible because the founders had built and sold networking silicon before, and because a strategic backer like Nvidia can shorten the path from prototype to customer trials. Domain credibility and the right partner on the cap table remain among the few things that let a hardware startup move at software speed.
The risk worth naming: valuations in AI infrastructure are running well ahead of revenue, and a switch that is still in customer evaluation has not yet proven it can win against entrenched giants. For operators evaluating vendors, the open-standards angle is the part to scrutinize closely, since interoperability is exactly what reduces the lock-in that makes infrastructure bets expensive to reverse.
Frequently asked questions
What does Upscale AI actually make?
It designs networking switches, both the chips and the systems and software around them, that connect GPUs inside AI data centers. The goal is to move data between processors fast and predictably so expensive chips spend less time waiting on each other.
How much has Upscale raised and what is it worth?
The new round adds $190 million, bringing total funding to about $500 million raised in under 18 months. The company is now valued at $2 billion. The latest financing was an extension of a $200 million Series A closed in January 2026.
Why did Nvidia invest in a networking startup?
Upscale's scale-out switches are built on Nvidia's Spectrum-X silicon, and the company was already in Nvidia's partner network. Backing Upscale extends Nvidia's reach into the networking layer that surrounds its GPUs, where faster, more efficient connections make its chips more valuable.
Who does Upscale compete with?
It faces Nvidia's own switches, plus Broadcom, Arista Networks and the incumbent enterprise networking leader, Cisco. Upscale is betting that an AI-only design built on open standards can win business from buyers wary of being locked into a single vendor.
Why does AI networking matter so much right now?
Modern AI models run across thousands of GPUs that must act as one machine. The network connecting them has become a primary bottleneck, and spending on AI data center switches is projected to exceed $100 billion a year by 2030, drawing a wave of investment into the category.