Editorial illustration for Mythic Secures USD 125M to Boost US-Made AI Chips Rivaling NVIDIA Performance
Mythic Raises $125M to Challenge NVIDIA's AI Chip Supremacy
Mythic raises USD 125M to scale US-made AI chips that claim 100× NVIDIA efficiency
Forget about beating NVIDIA at its own game. The real threat might come from ignoring the game entirely. Mythic, a startup with a chip that works more like a human brain than a graphics card, just raised $125 million to try.
Their claim is absurdly simple and equally bold: 100 times the energy efficiency of the standard. While the industry chases ever-smaller transistors, Mythic is betting on a different fix for AI's power problem. They stop moving the data around so much.
The company embeds memory directly into the processing plane, a method called analog in-memory computing. The energy lost in the constant, frantic shuttling of data between separate memory and processor chips is the single biggest drain in modern AI systems. Mythic's design aims to cut that traffic at the source.
The result, they say, is a current architecture that hits 120 trillion operations per second per watt. The new money is for scaling up production in the US and allied fabs and, critically, making the software easier to use. It's a direct challenge to NVIDIA on the one metric that's starting to hurt: pure energy cost.
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.
Money talks. A $125 million Series C round is the kind of talk that gets heard in Santa Clara. This isn't about building a slightly better GPU.
It's a wager that the path to the future isn't through more brute force, but through a fundamental rethink of how computation happens. The numbers are the hook. Turning that hook into a product developers actually want to use is the hard part.
If they do, the entire economics of running AI models, especially at the edge or in vast data centers, gets thrown out the window. NVIDIA isn't going anywhere. But for the first time in a long while, someone is building a completely different road.
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Common Questions Answered
How does Mythic's analog in-memory computing technology differ from traditional AI chip designs?
Mythic's chips combine memory and processing in a single plane, which reduces energy loss during data movement. This unique approach aims to dramatically lower power consumption compared to traditional semiconductor architectures, potentially offering more energy-efficient AI computing solutions.
What specific goals will Mythic pursue with its recent $125 million funding round?
Mythic plans to use the new capital to expand production capabilities, mature its software development kit, and pursue commercial deployments in AI inference markets. The funding will support the company's efforts to develop competitive alternatives to current AI chip market leaders like NVIDIA.
Why is Mythic's US-based manufacturing approach significant for the semiconductor industry?
Mythic's chips are manufactured in the United States and allied countries using standard semiconductor processes, which helps reduce dependence on international chip supply chains. This domestic manufacturing strategy supports broader efforts to strengthen US technological independence and semiconductor capabilities.
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
