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#power-management News & Analysis

5 articles tagged with #power-management. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

5 articles
AIBullishBlockonomi · Jun 37/10
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Navitas Semiconductor (NVTS) Stock Soars 262% YTD on AI Infrastructure Boom

Navitas Semiconductor (NVTS) surged 61% in May following strong Q1 earnings and an Nvidia partnership announcement, bringing year-to-date gains to 262%. The semiconductor company is capitalizing on explosive demand for AI infrastructure and power management solutions in data centers.

🏢 Nvidia
AIBullisharXiv – CS AI · Mar 37/103
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ZeroDVFS: Zero-Shot LLM-Guided Core and Frequency Allocation for Embedded Platforms

Researchers developed ZeroDVFS, a system that uses Large Language Models to optimize power management in embedded systems without requiring extensive profiling. The system achieves 7.09 times better energy efficiency and enables zero-shot deployment for new workloads in under 5 seconds through LLM-based code analysis.

AIBearishBlockonomi · Apr 176/10
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Navitas Semiconductor (NVTS) Stock Soars 73% YTD Despite Bearish Analyst Targets

Navitas Semiconductor has surged 73% year-to-date, capitalizing on AI power market optimism, yet analyst price targets suggest 34% downside risk from current levels. The disconnect between bullish market momentum and bearish analyst sentiment is compounded by insider selling activity, creating a cautionary signal for investors riding the AI semiconductor wave.

AIBullishBlockonomi · Apr 136/10
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BofA Elevates ON Semiconductor (ON) Stock to Buy With $85 Target Amid AI Growth

Bank of America upgraded ON Semiconductor to Buy with an $85 price target, citing strength in AI-related power solutions and the Treo product line. The upgrade reflects confidence in ON's positioning within the AI semiconductor supply chain, backed by a $6 billion three-year buyback commitment.

AIBullishTechCrunch – AI · Mar 175/10
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Niv-AI exits stealth to wring more power performance out of GPUs

Niv-AI has emerged from stealth mode with $12 million in seed funding to develop technology that measures and manages GPU power surges. The company aims to optimize GPU power performance, addressing a critical infrastructure challenge in AI computing.