FUNDING
Company Profile
Upscale AI builds full-stack AI networking infrastructure — silicon, systems, and software — to connect accelerators, memory, and storage into a high-performance fabric for large-scale AI training and inference.
Founded 2025Santa Clara, California$500M raised$2B valuation
Investors
Premji InvestNvidiaSalesforce VenturesTemasekSeligman VenturesMaverick SiliconMayfieldTiger Global
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Funding & Valuation History
from our coverage| Date | Event | Amount | Valuation | Source |
|---|---|---|---|---|
| Jun 24, 2026 | Upscale AI Raises $190M at $2B Valuation for AI Networking Infrastructure | $190M | $2B | Story → |
Upscale AI FAQ
- What is Upscale AI's valuation in 2026?
- Upscale AI was last valued at $2B in its most recent funding round.
- How much has Upscale AI raised?
- Upscale AI has raised approximately $500M in total funding to date.
- Is Upscale AI publicly traded?
- No. Upscale AI is privately held, last valued at $2B.
- Who are Upscale AI's investors?
- Upscale AI's investors include Premji Invest, Nvidia, Salesforce Ventures, Temasek, Seligman Ventures, Maverick Silicon, Mayfield, Tiger Global.
Coverage Timeline
newest firstAll Coverage
FUNDING$190M
Upscale AI Hits a $2B Valuation With a $190M Series A Extension for AI Networking
Upscale AI raised a $190 million Series A extension led by Premji Invest, taking its total Series A to roughly $500 million and its valuation to $2 billion. The company builds AI networking infrastructure -- the high-speed fabric that connects GPUs inside data centers -- positioning it in one of the hottest and most capital-intensive corners of the AI buildout.
FUNDING
Upscale AI Raises $190M at $2B Valuation for AI Networking Infrastructure
FUNDING$190M
Upscale AI Raises $190M at $2B Valuation for AI Networking Infrastructure
AI networking startup Upscale AI raised a $190 million Series A extension led by Premji Invest at a $2 billion valuation, bringing total financing to roughly $500 million. The company builds the high-speed networking fabric that links thousands of AI accelerators into coherent clusters -- an increasingly critical and capital-hungry layer as model training and inference scale.