Back to News
IndustryAI Understanding briefing

Navitas to acquire Claros for up to $232.8 million to boost AI power delivery

Navitas Semiconductor announced a definitive agreement to buy Claros Inc., adding vertical power delivery and integrated voltage regulator technology aimed at overcoming the power‑wall in next‑generation AI accelerators.

4 min readRead the linked source
Source-provided image accompanying Navitas to acquire Claros for up to $232.8 million to boost AI power delivery
Source referenceSource recorded
Publisher
datacenters.economictimes.indiatimes.com
Source link
datacenters.economictimes.indiatimes.comhttps://datacenters.economictimes.indiatimes.com/news/ai-compute-infrastructure/navitas-to-acquire-claros-for-ai-data-centre-power-delivery/134554607
Source type
Linked source — primary-source status has not been established.
ContextUnderstand this in 60 seconds

Start here

Key terms

GAN (Generative Adversarial Network)
A generative setup where a generator and discriminator train against each other.
Compute
The processing resources required to train and run models, often measured in FLOPS or GPU hours.
Test yourselfFuture of AI Quiz

What happened

Navitas Semiconductor Corp. signed a definitive agreement to acquire Claros Inc. for up to approximately $232.8 million, based on Navitas’ closing stock price on Aug. 21, 2026. The deal will bring Claros’ vertical power delivery (VPD) and integrated voltage regulator (IVR) technologies into Navitas’ gallium‑nitride (GaN) and silicon‑carbide (SiC) product portfolio. Navitas says the combined offering will move power conversion from board‑level modules to within millimeters of the AI xPU (GPU, CPU, TPU, NPU), reducing impedance, improving efficiency, and enabling higher density in megawatt‑scale server racks.

Navitas Semiconductor, a leader in GaNFast gallium‑nitride and GeneSiC silicon‑carbide power semiconductors, entered into a definitive agreement to acquire Claros Inc., a specialist in vertical power delivery and integrated voltage regulation. The transaction value is tied to Navitas’ closing stock price on Aug. 21, 2026, with a maximum of about $232.8 million.

Claros’ technology stacks power conversion, drive, control, and passive components into a compact package that can be placed directly beneath or inside the AI accelerator chip package. This architecture shortens power‑travel distance to a few millimeters, delivering ultra‑fast transient response, lower impedance, and higher efficiency at sub‑volt levels—attributes essential for next‑generation AI workloads.

Navitas’ President and CEO Chris Allexandre said the acquisition will “break the AI infrastructure power wall, advancing the entire power chain from grid‑to‑xPU.” Claros co‑founder Dan Kultran highlighted that the close‑to‑chip approach can enable higher density, lower heat generation, and reduced operating costs for AI data‑center deployments.

Source details: datacenters.economictimes.indiatimes.com ↗

Why it matters

Power delivery is a growing bottleneck for AI . Modern xPUs require thousands of amps and sub‑nanosecond response times, which traditional voltage regulator modules cannot reliably provide. By stacking conversion, drive, and control directly under or inside the chip package, Claros’ VPD and IVR solutions promise to cut power‑travel distance to a few millimeters, lowering losses, heat, and overall operating cost. Navitas projects that the acquisition will more than double its addressable market by 2030 to over $8 billion, adding roughly $3.5 billion from the fast‑growing VPD/IVR segment. The move deepens Navitas’ ties with hyperscalers and AI‑power platform providers, positioning the company as a key supplier for the next wave of AI infrastructure that must scale beyond current power‑wall limits.

The AI market is rapidly expanding, with hyperscalers building ever larger server farms that consume megawatts of power. Traditional VRM designs, which distribute power laterally across boards, struggle to meet the amperage and response‑time demands of modern AI accelerators, creating a “power wall” that limits performance scaling.

By integrating VPD and IVR directly at the chip level, Navitas aims to alleviate this bottleneck, allowing AI processors to operate at higher frequencies and densities without proportionally increasing power loss or cooling requirements. This could translate into more efficient data‑center operations and lower total‑cost‑of‑ownership for AI workloads.

Financially, Navitas expects the acquisition to more than double its addressable market by 2030, adding an estimated $3.5 billion from the VPD/IVR segment. The deal also strengthens Navitas’ position with hyperscalers, who are actively seeking power‑efficient solutions to sustain AI growth.

Interactive Mechanism

Interactive Mechanism: How It Actually Works

Explore the underlying technology behind this development interactively.

Model Parameter Size:8B Parameters
VRAM Required5.5 GBGPU memory footprint
Target HardwareMacBook / Single GPUDeployment tier
Privacy100% Air-GappedLocal device capability
Core takeaway: Small, quantized models (3B–8B) now run directly inside smartphones and laptops with complete data privacy, while mammoth 400B+ models remain the domain of datacenter clusters.
Interactive Concept Check+10 Points
Future of AI Quiz

What did neural scaling law research (e.g. Kaplan et al., 2020) observe?

What to watch next

Key indicators to monitor include: (1) integration progress of Claros’ VPD/IVR modules into Navitas’ GaN and SiC product lines; (2) adoption by major hyperscalers or AI accelerator manufacturers, especially in upcoming 2027‑2028 server generations; (3) any announced pricing or availability timelines for the combined technology; and (4) regulatory scrutiny or supply‑chain impacts given the strategic importance of AI‑ power hardware.

Integration timeline: Navitas has indicated that the combined technology will start delivering value from 2028/2029 onward. Observers should watch for product roadmaps and sample shipments in the next 12‑18 months.

Customer uptake: Early adoption by major AI accelerator manufacturers (e.g., NVIDIA, AMD, Google) or hyperscale cloud providers will be a key signal of market acceptance.

Pricing and availability: The announcement did not disclose pricing or immediate availability. Any future announcements on cost structures or volume‑based pricing will affect the competitive landscape.

Supply‑chain and regulatory factors: As power semiconductors become strategic components for AI infrastructure, any export controls or geopolitical tensions could impact rollout.

Related guides & quizzes

Future of AIAI AgentsAI Models ExplainedTest what you know — try a free AI quizLook up an AI term in our glossaryFollow the AI funding tracker
Found this useful?