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GSIT stock skyrockets 200% today as Cornell study confirms company's APU matches GPU performance
GSI Technology (GSIT) stock jumped 200% after Cornell University confirmed its APU can match NVIDIA GPU performance using much less energy. The Gemini-II APU is faster, efficient, and ideal for AI tasks. The company shows strong revenue growth, a solid financial position, and new board leadership, boosting investor confidence and interest in its innovative semiconductor technology. GSI Technology, Inc. is a semiconductor company with a market value of $148 million. Today, GSI stock jumped 200% after news about its technology was released. Researchers at Cornell University tested GSI's Associative Processing Unit (APU) and confirmed it can match the performance of NVIDIA GPUs while using 98% less energy. Over the last six months, GSI stock had already increased by 95% according to InvestingPro data. The Cornell study was presented at the Micro '25 conference. It showed that the Gemini-I APU could handle retrieval-augmented generation (RAG) tasks at the same speed as NVIDIA's A6000 GPU but used much less power, as per the report by Investing.com. The study also found that the Gemini-I APU can perform retrieval tasks several times faster than normal CPUs, reducing processing time by up to 80%. Lee-Lean Shu, Chairman and CEO of GSI Technology, said, "Cornell's independent validation confirms what we've long believed -- compute-in-memory has the potential to disrupt the $100 billion AI inference market". The APU was tested on datasets ranging from 10GB to 200GB. The study also introduced a new way to test compute-in-memory devices. GSI's Gemini-II APU, which is the second generation, is said to deliver 10 times faster throughput, lower delays, and better energy efficiency for AI workloads compared to Gemini-I. The company thinks the APU's combination of speed, energy efficiency, and programmability will help it grow in edge AI, data centers, defense, and other areas where saving energy is important. GSI Technology was founded in 1995 and is based in Sunnyvale, California. It focuses on semiconductor memory solutions, as per InvestingPro. The company has a strong financial position, with a current ratio of 5.79 and more cash than debt. In the first quarter of fiscal year 2026, GSI reported $6.3 million in revenue, a 35% increase from last year. The company's earnings per share showed a loss of $0.08, which matched market expectations. After the annual stockholders' meeting, GSI elected five directors: Elizabeth Cholawsky, Haydn Hsieh, Ruey L. Lu, Lee-Lean Shu, and Ronald R. Steger. The votes in favor ranged from 12,479,186 to 12,618,015, and there were 6,103,899 broker non-votes, Investing.com. Overall, the combination of Cornell's validation, new Gemini-II technology, revenue growth, and strong financials gave investors confidence and caused the 200% jump in GSIT stock. Q1. Why did GSIT stock jump 200% today? GSIT stock soared after Cornell University confirmed its APU matches NVIDIA GPU performance while using much less energy. Q2. What is GSI Technology's Gemini-II APU? Gemini-II is GSI's second-generation APU that is faster, more energy-efficient, and designed for AI tasks in edge, data centers, and defense.
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Why Is GSI Technology Stock Soaring Monday? - GSI Technology (NASDAQ:GSIT)
Shares of GSI Technology, Inc. (NASDAQ:GSIT) are rising Monday after the company shared a significant technological advancement regarding high-performance computing power. GSIT stock is challenging resistance. See what the experts say here. What To Know: GSI Technology announced the publication of a paper led by researchers at Cornell University. Findings from the research paper show that the company's APU CIM (Compute-In-Memory) architectures can match GPU-level performance for large-scale AI applications with a dramatic reduction in energy consumption. GSI Technology's stock was up nearly 200% following the news, according to Benzinga Pro. GSI Technology said its Gemini-I associative processing unit delivered comparable throughput to Nvidia's A6000 GPU on RAG workloads. The unit delivered over 98% lower energy consumption than a GPU over various large datasets. GSI Technology said the APU's unique design allows it to perform retrieval tasks several times faster than standard CPUs, shortening total processing time by up to 80%. "Cornell's independent validation confirms what we've long believed -- compute-in-memory has the potential to disrupt the $100 billion AI inference market," said Lee-Lean Shu, CEO of GSI Technology. "The APU delivers GPU-class performance at a fraction of the energy cost, thanks to its highly efficient memory-centric architecture." GSIT Analysis: GSI Technology has demonstrated remarkable performance year-to-date, up 358.3%, which underscores its appeal among investors looking for high-growth opportunities. From a technical perspective, the stock is trading approximately 306.8% above its 50-day moving average of $3.67 and about 345.7% above its 200-day moving average of $3.35. This substantial upward movement indicates strong bullish momentum, although its RSI of 63.30 suggests it's nearing overbought territory, which could lead to increased volatility in the near term. GSIT Price Action: GSI Technology shares were up 180.08% at $14.21 at the time of publication on Monday, according to Benzinga Pro. The stock is trading within its 52-week range of $1.62 to $18.14. Read More: Nvidia's Real 'Bottleneck' Isn't Chips, It's Power, Says Beth Kindig, Tech Analyst Shares What It Means For AI Investors Image: Shutterstock GSITGSI Technology Inc$14.13178.2%OverviewMarket News and Data brought to you by Benzinga APIs
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GSI Technology's stock skyrocketed 200% following Cornell University's validation of its APU technology, which matches NVIDIA GPU performance with 98% less energy consumption. This breakthrough positions GSI as a potential disruptor in the AI inference market.
GSI Technology (GSIT) experienced a remarkable 200% stock surge following the release of a Cornell University study that validated the performance of its Associative Processing Unit (APU) technology
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. The research, presented at the Micro '25 conference, confirmed that GSI's APU can match the performance of NVIDIA GPUs while consuming 98% less energy1
.The study focused on GSI's Gemini-I APU, which demonstrated comparable throughput to NVIDIA's A6000 GPU on retrieval-augmented generation (RAG) tasks
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. The APU's unique compute-in-memory architecture allows it to perform retrieval tasks several times faster than standard CPUs, reducing processing time by up to 80%1
.GSI's second-generation Gemini-II APU is reported to deliver even more impressive results, with 10 times faster throughput, lower latency, and improved energy efficiency for AI workloads compared to its predecessor
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.Lee-Lean Shu, Chairman and CEO of GSI Technology, emphasized the potential of their compute-in-memory technology to disrupt the $100 billion AI inference market
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. The company believes that the APU's combination of speed, energy efficiency, and programmability will drive growth in edge AI, data centers, defense, and other energy-conscious sectors1
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GSI Technology, founded in 1995 and based in Sunnyvale, California, has shown strong financial performance. In the first quarter of fiscal year 2026, the company reported $6.3 million in revenue, a 35% increase from the previous year
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. The company maintains a solid financial position with a current ratio of 5.79 and more cash than debt1
.The combination of Cornell's validation, new Gemini-II technology, revenue growth, and strong financials has significantly boosted investor confidence in GSI Technology. The stock has demonstrated remarkable performance year-to-date, up 358.3%, highlighting its appeal among investors seeking high-growth opportunities in the AI and semiconductor sectors
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.Source: Economic Times
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