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Normal Computing raises $50 million to cut AI chip cost and energy
Normal Computing secured $50 million to expand a chip design software business used by leading semiconductor firms and to advance a low-energy thermodynamic processor prototype.
Mar 25th 2026 · United States
Insights
- Normal Computing raised $50 million in a round led by Samsung Catalyst with new investors including Galvanize, Brevan Howard Macro Venture Fund, and ArcTern Ventures.
- The company’s software platform is already used by more than half of the top 10 semiconductor companies by revenue.
- Normal has taped out a prototype chip that uses a thermodynamic approach, exploiting physical randomness to compute more efficiently than traditional GPUs.
- The new funding will prioritize scaling the commercial chip design software while hardware work targets lower-energy inference for generative AI over the longer term.
- Designing modern AI chips is increasingly expensive and risky, with some advanced designs costing more than $500 million before any units ship.