Observed Signal · Mar 17, 2026 · Funding · Source: techcrunch · Impact: 2/5 · Sentiment: Positive
Niv-AI Launches to Optimize GPU Power in Data Centers
Niv-AI, a Tel Aviv-based startup, exited stealth with $12 million in seed funding to measure and manage GPU power usage in data centers. Founded last year by CEO Tomer Timor and CTO Edward Kizis, the company is deploying rack-level sensors that capture millisecond-scale GPU power profiles and plans to build AI models to predict and synchronize power loads — a “copilot” for data center engineers. Backers include Glilot Capital, Grove Ventures, Arc VC, Encoded VC, Leap Forward and Aurora. Niv-AI expects operational deployments in a handful of U.S. data centers within six to eight months and positions its product as an intelligence layer between data centers and the electrical grid.
The startup's sensors and management tools could improve GPU utilization and lower data-center power costs for organizations running large AI workloads; relevant to infrastructure supporting AI-driven services but not directly industry-shifting for AdTech.
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Key Takeaways & Evidence Grounding
- Niv-AI emerged from stealth with $12 million in seed funding.
- The startup is Tel Aviv-based and was founded last year by Tomer Timor (CEO) and Edward Kizis (CTO).
- Investors/backers include Glilot Capital, Grove Ventures, Arc VC, Encoded VC, Leap Forward and Aurora.
- Niv-AI is deploying rack-level sensors to measure millisecond-scale GPU power use and plans to develop AI models to predict and synchronize power loads.
- The company expects an operational system in a handful of U.S. data centers within six to eight months.
Connected Companies & Entities
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Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
Peak XV Invests in C2i to Power AI Data Centers
Peak XV Partners led a $15 million Series A in C2i Semiconductors, an Indian startup building plug-and-play, system-level power solutions aimed at reducing energy losses inside AI data centers. Participants in the round include Yali Deeptech and TDK Ventures, bringing C2i’s total funding to $19 million. C2i — founded in 2024 by former Texas Instruments power executives — says its integrated "grid-to-GPU" approach can cut end-to-end power conversion losses by ~10%, improving cooling, GPU utilization and total cost of ownership. The Bengaluru firm has about 65 engineers, plans U.S. and Taiwan customer-facing operations, and expects its first two silicon designs to return from fabrication between April and June for validation with data-center operators and hyperscalers. The raise comes amid forecasts of sharply rising global data-center electricity demand.
Nvidia shifts AI advantage from chips to capital
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Nvidia Tops $40B in AI Equity Investments
Nvidia has accelerated a strategy of taking equity stakes across the AI infrastructure stack, surpassing $40 billion in commitments in 2026. Recent deals include rights to invest up to $3.2 billion in Corning and up to $2.1 billion in data‑center operator IREN, alongside a $30 billion investment in OpenAI earlier this year. Nvidia has also made multibillion-dollar investments in public companies (Marvell, Lumentum, Coherent) and private rounds (CoreWeave, Nebius), and its non-marketable equity holdings rose to $22.25 billion at the end of January. Executives and analysts say the approach helps secure supply and create a competitive moat, though some observers warn it could be pre-funding demand for Nvidia’s own GPUs. The moves expand Nvidia’s role beyond chipmaking into financing the AI supply chain and infrastructure deployment.
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