Q.ANT Secures €62 Million for Photonic Processing Expansion
Stuttgart-based Q.ANT has announced a €62 million Series A financing round aimed at accelerating the commercialization of its photonic processors. The round was co-led by Cherry Ventures, UVC Partners, and imec.xpand, with participation from other deep tech investors.
Q.ANT, founded in 2018 as a spin-off from TRUMPF, is pioneering the use of light-based data processing to address the limitations of traditional CMOS chip technology. The company's photonic processors are designed to enhance energy efficiency and performance for AI and high-performance computing (HPC) applications.
The funding will enable Q.ANT to scale production, develop next-generation photonic processors, and expand its team. Additionally, the company plans to extend its operations to the US to support increasing customer deployments. Q.ANT's photonic chips promise significant improvements in data center efficiency, offering up to 30 times energy efficiency and 50 times performance improvement compared to traditional systems.
Q.ANT's Native Processing Server, built on Thin-Film Lithium Niobate (TFLN), integrates seamlessly into existing data centers, providing a scalable and energy-efficient solution for AI and HPC workloads. The company aims to make its technology a foundational component of global AI systems by 2030.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like AI Funding Brief, Silicon Brief or Daily AI Brief.
Also, consider following us on social media:
More 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 BankMore from Data Centers
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 Systems Oct 16 Clivet Unveils Magnetic Bearing Compressor for AI Data Center Cooling Oct 15 Rising rates strain AI data center fundraisingAI Funding Brief
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
Anthropic Licenses OPAQUE Technology and Hires Team Members
Applied Optoelectronics Shows AI Network Tools and 25G Optics at SCTE TechExpo
Quantinuum and UWA Partner on Quantum Computing Access
INmune Bio and QCi Apply Quantum Computing to XPro Research
Ubitium raises $14 million for universal physical AI processor
Daily AI Brief: the AI news that matters, in your inbox.