Navitas Shares Jump 5% Following Nvidia AI Infrastructure Partnership Announcement

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Navitas Semiconductor shares climbed 5% in after-hours trading after revealing a strategic partnership with Nvidia to build an advanced power delivery board for next-generation AI data centers. The collaboration focuses on a 24-kilowatt power delivery board that converts 800 VDC directly to 12 VDC in a single stage, bypassing traditional intermediate bus converter stages to enhance system efficiency and save board space. Engineered to match Nvidia's form factor, the board achieves 97% efficiency at full load with a power density over 2,000 W/in³. The system incorporates 16 Navitas NV6034 GaNFast FETs and expands the firm's AI data center portfolio following an earlier 20 kW board project. This innovative hardware will be showcased at the OCP Global Summit 2026 within the Nvidia AI Factory MGX Ecosystem partner display area.

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Navitas Semiconductor shares surged 5% in after-hours trading after announcing a strategic partnership with NVDA to co-develop a next-generation 24kW power supply board for AI data centers. Through this collaboration, the two companies will build a high-efficiency power system that directly converts 800VDC to 12VDC, minimizing power loss in AI infrastructure. Investors view the improvement in AI data center efficiency as a driver of earnings growth for related hardware suppliers.

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This partnership proves that NVTS is deeply integrated into NVDA's AI ecosystem, with high-efficiency power conversion technology utilizing 16 GaNFast FETs acting as a key driver to boost actual data center power efficiency up to 97%. As a result, revenue growth is expected for semiconductor power device and AI infrastructure-related companies.

The bullish scenario is the acceleration of commercialization for the 24kW platform through events like the OCP Global Summit, leading to additional orders, while the bearish scenario is the reduction of earnings visibility due to supply chain constraints or delayed technology adoption. Key metrics to watch are orders related to AI data center power efficiency and the scale of CAPEX investments by major big tech companies.

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