Upscale AI Reportedly in Talks for $2 Billion Valuation
Upscale AI is reportedly in talks to raise between $180 million and $200 million in new funding, which would value the company at around $2 billion, according to Bloomberg.
The Santa Clara-based startup has already completed two funding rounds since launching seven months ago: a $100 million seed round in September and a $200 million Series A in January, backed by Tiger Global Management, Premji Invest, and Xora Innovation.
Upscale AI is developing specialized chips, networking equipment, and software designed to improve the efficiency of AI data centers. The company, which spun out of Bitcoin mining firm Auradine, aims to release its first product later this year.
The firm competes with other AI infrastructure startups such as Nexthop AI, as well as established networking companies like Cisco, Broadcom, and Arista Networks that are adapting their systems for AI workloads.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Silicon Brief, AI Funding Brief or Daily AI Brief.
Also, consider following us on social media:
More from Data Centers
Oct 16 EverWind Plans 420 Megawatt AI Data Centre in Nova Scotia Oct 16 Gartner Says $3.5 Trillion in AI Infrastructure Spending Faces Impairment Risk by 2030 Oct 16 KBRA Rated Anthropic BB+ Before $35 Billion Chip Financing Oct 16 China Proposes Export Controls for Advanced AI Models and Chips Oct 16 Hitachi Energy and Ansaldo Energia Partner on Data Center Power SystemsMore from Funding
Oct 16 RapidCanvas Raises $29 Million to Expand Enterprise AI Platform Oct 16 KBRA Rated Anthropic BB+ Before $35 Billion Chip Financing Oct 16 Goodweek Raises $12 Million for AI Management Platform Oct 16 Intuit Agrees to Acquire AI Billing Startup Sequence for Reported $200 Million Oct 16 Matters Raises $5 Million to Build AI Consumer BankSilicon Brief
Weekly coverage of AI hardware developments including chips, GPUs, cloud platforms, and data center technology.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Ault & Company Invests $55 Million in Hyperscale Data
Ramp Raises $1.85 Billion at $60 Billion Valuation
OpenAI Seeks $30 Billion at $1.4 Trillion Valuation
PaleBlueDot AI Raises $200 Million at $3.2 Billion Valuation
Nscale Raises $3.36 Billion in Convertible Financing Before IPO
Daily AI Brief: the AI news that matters, in your inbox.