Wafer Raises $4 Million to Build AI That Optimizes AI Infrastructure
Wafer has raised $4 million in seed funding led by Fifty Years, with participation from Liquid2, Y Combinator, and several well-known angel investors including Jeff Dean of Google and Wojciech Zaremba of OpenAI, according to Menlo Times.
The funding will support the development of an AI performance engineering agent designed to help hardware providers, cloud platforms, and research labs improve system efficiency and approach the physical limits of AI performance.
Wafer’s technology focuses on automating the work of performance engineers, whose tasks include profiling, optimization, and hardware-specific tuning. The company aims to build AI systems that can optimize AI infrastructure across diverse hardware environments.
Founded by Steven Arellano and Emilio Andere, Wafer is centered on increasing “intelligence per watt,” a measure of AI efficiency that the company sees as critical to scaling advanced AI systems.
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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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