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SiMa.ai raises $150M Series C at $1.45B valuation to compete with Nvidia’s CUDA hardware

SiMa.ai, a startup specializing in custom chips for physical AI devices, announced a $150 million Series C funding round led by Fidelity and Amplify, valuing the company at $1.45 billion. The funds will accelerate development of its Palette Neat agentic environment and next-gen Modalix system-on-chip, targeting embedded robotics and autonomous systems by mid-2028 with 1,000 tera operations per…

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Key points

  • SiMa.ai raised **$150M** in Series C funding, led by Fidelity and Amplify, at a **$1.45B valuation**
  • Targeting **1,000 TOPS** by mid-2028 for embedded robotics, competing with Nvidia’s **2,000 TOPS Jetson AGX Thor**
  • Funds will scale **Palette Neat** (agentic dev environment) and **Modalix** (SoC) for drones, robots, and automotive AI

SiMa.ai’s CEO, Krishna Rangasayee, claims the startup’s purpose-built silicon and software can deploy faster than Nvidia’s CUDA-based systems, aiming for markets like humanoid robotics, automotive ADAS, and AI-powered cockpits. Current partners include Bosch, Emerson, Micron, and Synopsys, but the company faces competition from Nvidia’s dominant CUDA architecture. The funding round also included Alter Venture Partners, Dell Technologies Capital, and J.P. Morgan, among others.

Full story from siliconangle.com · by Kyt Dotson · via TechmemeOpen source ↗

Physical AI chip startup SiMa.ai raised a $150M Series C led by Fidelity and Amplify at a $1.45B valuation, aiming to compete with Nvidia's CUDA-based hardware

siliconangle.com · 28 September 2026

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This text was published by siliconangle.com and written by Kyt Dotson. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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SiMa.aiNvidiaFidelity Management & Research CompanyAmplifyAlter Venture PartnersDell Technologies CapitalKrishna Rangasayee

The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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