Navitas Semiconductor's opportunity now spans the entire AI power stack, from the grid to the chip, not just GaN. As StockSavvyShay noted, closing Claros adds integrated voltage regulators next to AI processors and more than doubles Navitas's 2030 AI power opportunity to $8B, covering 10 kV SiC near the grid, 800V rack conversion, GaN in the rack and power at the chip. x.com 

Inference's move toward edge devices and dense, memory-hungry racks should drive demand for specialized chips, links, power delivery and cooling. McKinsey projects inference at 60% of AI computing demand by 2030. Ambarella makes on-device AI chips; Astera Labs links GPUs, memory and networks; Credo supplies short copper connections; Rambus earns from memory interfaces; Navitas reduces power waste; Modine cools dense racks; and Super Micro builds inference-specific server racks at volume. x.com  … Show more

Navitas is exposed to a real thesis, power delivery as AI's next bottleneck, through a high-risk stock. Rack power is heading from 150kW to over 1,000kW, and Navitas has full-stack GaN and SiC, an 800V HVDC design partnership with Nvidia and a 96.5%-efficient 800V-to-6V board. But Q4 2025 revenue fell 59% to $7.3M, it trades near 211x trailing EV/revenue, loses money, revenue inflection is 2-3 years away, and Infineon, Vicor and Delta got similar Nvidia mentions. Valuation conviction is low. … Show more

Navitas' AI power case got another green light: Nvidia's Jensen Huang says the 800 VDC power rack roadmap remains intact, with shipments in the second half of 2026. Navitas' GaN and SiC chips sit directly in the rack's power-conversion path, and its 5th-generation GeneSiC technology supports a pivot from low-margin consumer electronics toward AI data centers, grid and industrial customers. QuantumScape's solid-state batteries are positioned for high-density backup units in these racks. x.com 

Denser AI accelerators raise the value of efficient power delivery near processors, potentially making Navitas one of the most hidden AI winners in Nvidia's architecture. Its 24 kW board targets single-stage 800V-to-12V conversion at about 97% efficiency in Nvidia's 400 mm by 60 mm format. An 800V-to-6V design developed with Nvidia and Claros offer other paths into the power stack. This is a showcase, not a production order; shipment volumes, revenue and competition remain uncertain. x.com 

Navitas is a one-customer concentration story facing heavy competition from tier-one suppliers. Its GaN portfolio winning Nvidia adoption played out, but STMicroelectronics and Infineon also supply Nvidia and are strong in GaN and SiC. GaN output may quadruple by 2030, yet SiC prices were hammered by Chinese capacity, unresolved, so revenue and margins could diverge sharply. Power and thermal efficiency are better played across these names than through Navitas alone. x.com 

Vertiv's power and cooling gear is benefiting from the AI data-center build-out. Q3 net sales rose 61%, operating profit 90% and net income 92%. There is no more direct picks-and-shovels bet on AI infrastructure than Vertiv. Grade: A. x.com 

A rising value of compute per watt should benefit AI cloud, chip, connectivity and power suppliers. Elon Musk says that value will rise over time. Nebius has Microsoft and Meta deals; Marvell benefits from custom silicon demand; Credo connects GPUs; Vistra has long-term nuclear supply deals with Amazon and Meta; Nokia's Nvidia partnership could help it capture data-center networking growth. x.com  x.com 

Navitas remains a wait-and-see name because its high-voltage products are years from real revenue. The US Army selected it for ALATTIS, a program to build domestic 10 kV silicon carbide power devices, which validates its engineering and fits its roadmap toward solid-state transformers for AI data centers alongside its Nvidia 800 V work. But it is a prototype program with no disclosed value, and 10 kV devices are years from volume revenue. x.com 

Navitas is the highest-beta standalone pure play on gallium nitride for the shift to 800V DC data centers. It pivoted from consumer GaN chargers, where it was losing share to cheap Chinese rivals, to higher-margin AI data-center solid-state transformers, where it is seen as the default GaN supplier, even ahead of Infineon. An acquisition two years ago added credible silicon carbide capability. Execution risk is high for a small company making such a concentrated bet. x.com