Sygaldry Raises $139 Million to Develop Quantum Servers for AI
Sygaldry has raised $139 million to build quantum-accelerated servers for artificial intelligence workloads, reports Menlo Times. The funding includes a $105 million Series A round led by Breakthrough Energy Ventures in March 2026, following a $34 million seed round led by Initialized Capital.
The company, founded by Chad Rigetti, Idalia Friedson, and Michael Keiser, is developing quantum computers tailored for AI tasks. These systems aim to improve performance per watt by integrating quantum computing directly into AI data centers.
Sygaldry’s technology is designed to accelerate classical AI algorithms while enabling new quantum-native methods. The company is also building quantum algorithms compatible with existing AI research tools, with the goal of reducing both training costs and energy consumption for large models.
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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.
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