Mythic raises USD 125M to scale US-made AI chips that claim 100× NVIDIA efficiency
Mythic just closed a $125 million round, a sum that puts the San Francisco startup in a position to push its silicon farther down the supply chain. The cash infusion arrives as the firm touts a claim that its next‑gen AI processors can deliver inference performance up to 100 times more energy‑efficient than a typical NVIDIA GPU. Investors seem to be betting on a model that blends analog compute with conventional digital logic, a hybrid approach that promises lower power draw without sacrificing speed.
While the hype around “NVIDIA‑killer” chips is common, Mythic’s strategy hinges on scaling production in North America and turning its prototype kit into a market‑ready stack. The question now is whether the funding will translate into real‑world deployments, especially in edge devices where power budgets are tight. The answer lies in the details of how the company intends to build out its manufacturing footprint, software tools, and go‑to‑market plans.
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Mythic's chips are manufactured in the United States and allied countries using standard semiconductor processes. The company plans to use the new capital to expand production, mature its software development kit, and pursue commercial deployments in AI inference markets. Mythic's chips use analog i
Mythic's chips are manufactured in the United States and allied countries using standard semiconductor processes. The company plans to use the new capital to expand production, mature its software development kit, and pursue commercial deployments in AI inference markets. Mythic's chips use analog in-memory computing, which combines memory and processing in a single plane.
The company said this design reduces energy loss during data movement, which it claims accounts for most of the power consumption in current AI systems. According to Mythic, its current architecture delivers 120 trillion operations per second per watt.
Can a startup really deliver 100‑times the energy efficiency of today’s GPUs? Mythic says its analog processing units could, and the $125 million round gives it the runway to try. Led by DCVC, the financing also includes NEA, Atreides, Future Ventures, Softbank KR, S3 Ventures, Linse Capital, One Madison Group, Catapult and even Honda Motor and Lockheed Martin.
The money will fund production scaling, a more mature software development kit and pushes into AI inference markets. Mythic’s chips are built in the United States and allied countries using standard semiconductor processes, a point the company highlights as a supply‑chain advantage. Yet the claim of up to a hundred‑fold energy savings has yet to be validated in real‑world workloads.
Whether customers will adopt analog inference hardware over established GPU solutions remains uncertain. The firm’s next steps will test whether its analog approach can meet performance expectations while keeping costs competitive. Until those results appear, the promise stays largely theoretical.
Further Reading
- Mythic to Challenge AI’s GPU Pantheon with 100x Energy Advantage and Oversubscribed $125M Raise - Mythic
- Mythic raises $125M to break through AI’s power wall - DCVC
- Power-efficient analog compute for edge AI - Mythic
- AI Chip Statistics 2025: Funding, Startups & Industry Giants - SQ Magazine
- Top 20+ AI Chip Makers: NVIDIA & Its Competitors - AIMultiple
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Common Questions Answered
What amount of funding did Mythic raise and how will it be used?
Mythic closed a $125 million financing round led by DCVC and other investors. The capital will be used to expand chip production in the United States, mature its software development kit, and accelerate commercial deployments in AI inference markets.
How does Mythic claim its next‑gen AI processors achieve up to 100× energy efficiency compared to NVIDIA GPUs?
Mythic attributes the 100× energy‑efficiency claim to its analog in‑memory computing architecture, which merges memory and processing on a single plane. This design reduces energy loss during data movement, the primary source of power consumption in conventional digital GPUs.
What manufacturing strategy does Mythic employ for its AI chips?
Mythic manufactures its chips in the United States and allied countries using standard semiconductor processes. By staying within allied supply chains, the company aims to maintain control over production while leveraging existing fab infrastructure.
Which investors participated in Mythic’s $125 million round and what does their involvement suggest?
Investors include DCVC, NEA, Atreides, Future Ventures, SoftBank KR, S3 Ventures, Linse Capital, One Madison Group, Catapult, Honda Motor, and Lockheed Martin. Their participation signals confidence in Mythic’s hybrid analog‑digital approach and its potential to disrupt the AI inference hardware market.
What markets is Mythic targeting with its analog processing units?
Mythic is focusing on AI inference markets that require high performance with low power consumption, such as edge devices and autonomous systems. The company plans to leverage its energy‑efficient chips to enable more capable inference workloads in these power‑constrained environments.