Hardware·Europe

Upscale AI Raises $190M to Advance Networking Tech Skyhammer

Global AI Watch · Elena Marchetti··4 min read
Upscale AI Raises $190M to Advance Networking Tech Skyhammer
Editorial Insight

By 2027, expect widespread adoption of custom AI networking technology, driven by tailored ASIC switches.

Key Points

  • 1Largest funding in AI networking this year, doubling prior rounds.
  • 2Upscale AI's custom ASIC shifts capabilities from standard to tailored networking.
  • 3Skyhammer enhances hardware autonomy, reducing reliance on generic network solutions.

What Changed

Upscale AI recently closed a $190 million Series A-1 extension, bringing its total funding to $500 million with a current valuation of $2 billion. Emerging from anonymity in September 2025 with a $100 million seed round, it now advances the development of its custom ASIC network switch, Skyhammer. This expansion represents one of the largest funding rounds in the AI networking sector in 2026.

Strategic Implications

With Nvidia, Salesforce Ventures, and Temasek among its new investors, Upscale AI gains technological support and financial backing from leading global players. Nvidia's contribution of Ethernet technology to the Skyhammer platform highlights a shift towards more integrated and proprietary networking solutions tailored for AI. This move potentially diminishes dependence on generic network hardware and positions Upscale AI as a central player in specialized AI network solutions.

What Happens Next

Given the high-profile backing and technological focus, Upscale AI is set to release more details about Skyhammer later this year. The product rollout aligns with availability from major GPU and XPU providers, likely influencing timelines for hyperscale AI infrastructure deployment. Policymakers and competitors will watch closely for shifts in market share dynamics and regulatory responses.

Second-Order Effects

This development could disrupt existing supply chains, as demand for bespoke networking hardware tailored for AI applications increases. The integration of Nvidia's technology may set a new standard, pushing other firms to meet similar capabilities, which could provoke a regulatory review of competitive practices in the AI hardware market.

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