<p>2025 年 11 月 06 日- 下午 12:25</p>
<p><strong>Gemini-II 提供超低功耗和行业领先的首次令牌时间性能，理想用于实时无人机工作负载</strong></p>
<p>加利福尼亚州阳光谷，2025 年 11 月 06 日（GLOBE NEWSWIRE）-- GSI Technology, Inc.（纳斯达克：GSIT），关联处理单元（APU）的发明者，人工智能（AI）和高性能计算（HPC）处理的范式转变，提供真正的内存计算（CIM）技术，今天宣布其为 Gemini-II APU 制定的边缘战略。GSI Technology 专注于高增长的 AI 边缘处理器市场，其架构在性能和功耗效率上提供了决定性的优势，首要应用于无人机，预计到 2030 年该细分市场将达到 27 亿美元。</p>
<p>APU 架构适用于边缘和数据中心推理。然而，数据中心市场被大型、资金雄厚的现有企业所饱和，GPU 的功耗接近 2kW。边缘需要完全不同的计算架构。Gemini-II 在 15W 的功耗下提供复杂的边缘 AI 能力，这对于无人机、防御系统、机器人和移动平台至关重要，而竞争对手根本无法竞争。</p>
<p>“在我们完成 5000 万美元的股权融资后，GSI 正在推进其路线图，以捕捉边缘市场的机会，我们的 CIM 架构在功耗效率、延迟和设备智能方面提供了显著改善，” GSI Technology 的董事长兼首席执行官 Lee-Lean Shu 说。“在边缘，Gemini-II 以极低的功耗提供 GPU 级性能，使其能够在功耗和尺寸受限的环境中实现实时响应。其更快的首次令牌时间在无人机和防御应用中提供了强大的优势，在这些应用中，毫秒和任务耐力至关重要。我们当前的概念验证项目的结果反映了这一优势，客户的首次响应时间比替代解决方案快三倍。”</p>
<p>根据第三方研究，全球边缘 AI 处理器市场预计到 2030 年将达到 96 亿美元。随着 AI 从广泛的数据中心部署转向边缘的专用工作负载，一个新的增长前沿正在各个市场中发展，这些市场需要高容量的紧凑型、功耗高效的设备。GSI 利用其与国防机构和承包商的既有关系，以及其架构在这些领域 AI 应用中的独特优势，优先考虑在无人机和军事车辆市场的早期边缘 AI 部署，因为它们看到立即的需求和市场。</p>
<p>Shu 先生继续说道：“我们的下一代 APU，Plato，将使 GSI 能够参与更广泛的 AI 部署浪潮，进一步渗透嵌入式边缘 AI 应用。我们相信，Gemini-II 的进展为长期增长和股东价值创造奠定了坚实的基础。”</p>
<p>最近的康奈尔大学研究证实，GSI 的 APU 架构通过其以内存为中心的设计实现了 GPU 级性能，能耗降低超过 98%。研究还表明，APU 的检索任务速度比传统 CPU 快几倍，总处理时间减少了多达 80%——突显了其在电源敏感的 AI 工作负载中转变的潜力。</p>
<p><strong>关于 GSI TECHNOLOGY</strong></p>
<p>GSI Technology, Inc. 成立于 1995 年，是半导体存储解决方案的领先提供商。GSI 的资源专注于推出利用现有核心优势的新产品，包括用于极端环境的辐射硬化存储产品以及旨在为多种人工智能应用提供性能优势的 Gemini-I 和 Gemini-II 关联处理单元。GSI Technology 总部位于加利福尼亚州阳光谷，并在美洲、欧洲和亚洲设有销售办事处。有关更多信息，请访问 www.gsitechnology.com。</p>
<p><strong>前瞻性声明</strong></p>
<p>本新闻稿中包含的非纯历史性陈述是根据 1934 年证券交易法第 21E 条的定义的前瞻性陈述，包括关于 GSI Technology 对未来的预期、信念、意图或战略的陈述。本新闻稿中包含的所有前瞻性陈述均基于截至本日期 GSI Technology 可获得的信息，GSI Technology 不承担更新任何此类前瞻性陈述的义务。前瞻性陈述涉及多种风险和不确定性，这可能导致实际结果与预测结果存在重大差异。这些风险包括与正常季度和财政年度结束结算过程相关的风险。可能影响我们对未来收入和毛利率当前预期的风险示例包括与 GSI Technology 经营结果波动相关的风险；GSI Technology 历史上对有限客户销售的依赖及任何时期客户和产品组合的波动；减少经济活动的全球公共卫生危机；GSI Technology 产品市场的快速发展及对这些市场发展的不确定性；在基于我们现有的关联计算技术开发新产品时可能遇到的延迟或意外成本，以及为销售此类产品建立新市场和客户及合作伙伴关系的挑战；激烈的竞争；政府资助机会的持续可用性；以及与建立客户关系和 GSI Technology 辐射硬化和耐受 SRAM 产品订单相关的延迟或意外挑战。许多这些风险目前受到经济和地缘政治条件的放大，并将继续受到放大，未来可能会受到放大，例如全球通货膨胀压力、政策不可预测性、关税和其他贸易壁垒的实施、军事冲突以及严峻的全球经济环境。有关这些及其他与 GSI Technology 业务相关的风险的更多信息，请参阅公司向证券交易委员会提交的文件，包括在这些文件中讨论的 “风险因素” 标题下的因素。</p>
<p>来源：GSI Technology, Inc.</p>
<p><strong>联系方式：</strong></p>
<p><strong>投资者关系</strong></p>
<p>Hayden IR</p>
<p>Kim Rogers</p>
<p>541-904-5075</p>
<p>Kim@HaydenIR.com</p>
<p><strong>媒体关系</strong></p>
<p>Finn Partners 为 GSI Technology 提供服务</p>
<p>Ricca Silverio</p>
<p>(415) 348-2724</p>
<p>gsi@finnpartners.com</p>
<p><strong>公司</strong></p>
<p>GSI Technology, Inc.</p>
<p>Douglas M. Schirle</p>
<p>首席财务官</p>
<p>408-331-9802</p>
<hr/>
<p>1 <em>无人机市场中的人工智能按产品、技术、应用和地区 – 全球预测到 2030 年。</em> https://www.marketsandmarkets.com/Market-Reports/artificial-intelligence-drones-market-43722301.html</p>
<p>2 <em>边缘 AI 处理器市场按类型、设备、最终用途和地区：全球机会分析和行业预测，2023–2032 年</em>. https://www.alliedmarketresearch.com/edge-ai-processor-market-A16569</p>
<p><img src="https://imageproxy.pbkrs.com/https://www.globenewswire.com/newsroom/ti/query-bmY9T1RVM01EWTJOQ00zTWpRNU5qa3dJekl3TURjek16RT0?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg" alt="" original-src="https://imageproxy.pbkrs.com/https://www.globenewswire.com/newsroom/ti/query-bmY9T1RVM01EWTJOQ00zTWpRNU5qa3dJekl3TURjek16RT0"/></p>
<p><img src="https://imageproxy.pbkrs.com/https://ml.globenewswire.com/media/MmJmNjYxMTEtNGNkNC00Y2E0LWFmMTMtOWRmYmQwYmVhODc5LTEwMTg5MDQtMjAyNS0xMS0wNi1lbg==/tiny/GSI-Technology-Inc-.png?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg" alt="" original-src="https://imageproxy.pbkrs.com/https://ml.globenewswire.com/media/MmJmNjYxMTEtNGNkNC00Y2E0LWFmMTMtOWRmYmQwYmVhODc5LTEwMTg5MDQtMjAyNS0xMS0wNi1lbg==/tiny/GSI-Technology-Inc-.png"/></p>

广船国际技术

<p>GSI Technology, Inc. 宣布了其针对 Gemini-II APU 的边缘计算战略，目标是 27 亿美元的无人机市场。Gemini-II APU 提供超低功耗和卓越性能，适用于实时无人机应用，以仅 15W 的功耗实现 GPU 级性能。在完成 5000 万美元的股权融资后，GSI 计划利用其架构在无人机和军用车辆中的人工智能应用。全球边缘 AI 处理器市场预计到 2030 年将达到 96 亿美元，GSI 优先考虑在高需求领域的早期部署。公司相信其技术进步将推动长期增长和股东价值</p>

<p>11/06/2025 - 12:25 PM</p>
<div class="lb-trans"><p>2025 年 11 月 06 日- 下午 12:25</p>
</div><p><strong>Gemini-II delivers ultra-low power and industry-leading time-to-first-token performance, ideal for real-time drone workloads</strong></p>
<div class="lb-trans"><p><strong>Gemini-II 提供超低功耗和行业领先的首次令牌时间性能，理想用于实时无人机工作负载</strong></p>
</div><p>SUNNYVALE, Calif., Nov. 06, 2025 (GLOBE NEWSWIRE) -- GSI Technology, Inc. (Nasdaq: GSIT), the inventor of the Associative Processing Unit (APU), a paradigm shift in artificial intelligence (AI) and high-performance compute (HPC) processing providing true compute-in-memory (CIM) technology, today announced its defined edge strategy for the Gemini-II APU. GSI Technology’s focus on high-growth AI edge processor markets where its architecture delivers a decisive advantage in performance and power efficiency, beginning with drones, represents a segment projected to reach $2.7 billion by 20301.</p>
<div class="lb-trans"><p>加利福尼亚州阳光谷，2025 年 11 月 06 日（GLOBE NEWSWIRE）-- GSI Technology, Inc.（纳斯达克：GSIT），关联处理单元（APU）的发明者，人工智能（AI）和高性能计算（HPC）处理的范式转变，提供真正的内存计算（CIM）技术，今天宣布其为 Gemini-II APU 制定的边缘战略。GSI Technology 专注于高增长的 AI 边缘处理器市场，其架构在性能和功耗效率上提供了决定性的优势，首要应用于无人机，预计到 2030 年该细分市场将达到 27 亿美元。</p>
</div><p>The APU architecture is applicable to both edge and data center inference. However, the data center market is saturated with large, well-capitalized incumbents, where power consumption approaches 2kW per GPU. The edge needs an entirely different compute architecture. Gemini-II delivers complex edge AI capability at 15W, which is required for drones, defense systems, robotics, and mobile platforms where competitors simply cannot compete.</p>
<div class="lb-trans"><p>APU 架构适用于边缘和数据中心推理。然而，数据中心市场被大型、资金雄厚的现有企业所饱和，GPU 的功耗接近 2kW。边缘需要完全不同的计算架构。Gemini-II 在 15W 的功耗下提供复杂的边缘 AI 能力，这对于无人机、防御系统、机器人和移动平台至关重要，而竞争对手根本无法竞争。</p>
</div><p>“Following our $50 million equity raise, GSI is advancing its roadmap to capture opportunities inedge markets, where our CIM architecture delivers meaningful improvements inpower efficiency, latency, and on-device intelligence,” said Lee-Lean Shu, Chairman and Chief Executive Officer of GSI Technology.“At the edge, Gemini-II delivers GPU-class performance at a fraction of the power, enabling real-time responsiveness in power- and size-constrained environments. Its faster time-to-first-token offers a strong advantage in drone and defense applications, where milliseconds and mission endurance matter. Results from our current proof-of-concept engagements reflect this advantage, with customers seeing first-response times up to three times faster than alternative solutions.”</p>
<div class="lb-trans"><p>“在我们完成 5000 万美元的股权融资后，GSI 正在推进其路线图，以捕捉边缘市场的机会，我们的 CIM 架构在功耗效率、延迟和设备智能方面提供了显著改善，” GSI Technology 的董事长兼首席执行官 Lee-Lean Shu 说。“在边缘，Gemini-II 以极低的功耗提供 GPU 级性能，使其能够在功耗和尺寸受限的环境中实现实时响应。其更快的首次令牌时间在无人机和防御应用中提供了强大的优势，在这些应用中，毫秒和任务耐力至关重要。我们当前的概念验证项目的结果反映了这一优势，客户的首次响应时间比替代解决方案快三倍。”</p>
</div><p>The global edge AI processor market is projected to reach$9.6 billion by 2030, according to third-party research2.As AI transitions from broad data center deployments to purpose-built workloads at the edge, a new growth frontier is developing across markets that demand high volumes of compact, power-efficient devices. Leveraging its established relationships with defense agencies and contractors, and the unique advantages of its architecture for AI applications in these domains, GSI is prioritizing early edge AI deployment in the drone and military vehicle markets, where it sees immediate need anddemand.</p>
<div class="lb-trans"><p>根据第三方研究，全球边缘 AI 处理器市场预计到 2030 年将达到 96 亿美元。随着 AI 从广泛的数据中心部署转向边缘的专用工作负载，一个新的增长前沿正在各个市场中发展，这些市场需要高容量的紧凑型、功耗高效的设备。GSI 利用其与国防机构和承包商的既有关系，以及其架构在这些领域 AI 应用中的独特优势，优先考虑在无人机和军事车辆市场的早期边缘 AI 部署，因为它们看到立即的需求和市场。</p>
</div><p>Mr. Shu continued, “Our next-generation APU,Plato, will position GSI to participate in the broader wave of AI deployment, further penetrating embedded edge AI applications. We believe our progress with Gemini-II establishes a strong foundation for long-term growth and shareholder value creation.”</p>
<div class="lb-trans"><p>Shu 先生继续说道：“我们的下一代 APU，Plato，将使 GSI 能够参与更广泛的 AI 部署浪潮，进一步渗透嵌入式边缘 AI 应用。我们相信，Gemini-II 的进展为长期增长和股东价值创造奠定了坚实的基础。”</p>
</div><p>A recentCornell Universitystudy confirmed that GSI’s APU architecture achieves GPU-class performance with more than 98% lower energy consumption through its memory-centric design. The research also demonstrated that the APU performs retrieval tasks several times faster than conventional CPUs, reducing total processing time by up to 80%—underscoring its potential to transform power-sensitive AI workloads.</p>
<div class="lb-trans"><p>最近的康奈尔大学研究证实，GSI 的 APU 架构通过其以内存为中心的设计实现了 GPU 级性能，能耗降低超过 98%。研究还表明，APU 的检索任务速度比传统 CPU 快几倍，总处理时间减少了多达 80%——突显了其在电源敏感的 AI 工作负载中转变的潜力。</p>
</div><p><strong>ABOUT GSI TECHNOLOGY</strong></p>
<div class="lb-trans"><p><strong>关于 GSI TECHNOLOGY</strong></p>
</div><p>Founded in 1995, GSI Technology, Inc. is a leading provider of semiconductor memory solutions. GSI's resources are focused on bringing new products to market that leverage existing core strengths, including radiation-hardened memory products for extreme environments and Gemini-I and Gemini-II, associative processing units designed to deliver performance advantages for diverse artificial intelligence applications. GSI Technology is headquartered in Sunnyvale, California, and has sales offices in the Americas, Europe, and Asia. For more information, please visit www.gsitechnology.com.</p>
<div class="lb-trans"><p>GSI Technology, Inc. 成立于 1995 年，是半导体存储解决方案的领先提供商。GSI 的资源专注于推出利用现有核心优势的新产品，包括用于极端环境的辐射硬化存储产品以及旨在为多种人工智能应用提供性能优势的 Gemini-I 和 Gemini-II 关联处理单元。GSI Technology 总部位于加利福尼亚州阳光谷，并在美洲、欧洲和亚洲设有销售办事处。有关更多信息，请访问 www.gsitechnology.com。</p>
</div><p><strong>Forward-Looking Statements</strong></p>
<div class="lb-trans"><p><strong>前瞻性声明</strong></p>
</div><p>The statements contained in this press release that are not purely historical are forward-looking statements within the meaning of Section 21E of the Securities Exchange Act of 1934, as amended, including statements regarding GSI Technology’s expectations, beliefs, intentions, or strategies regarding the future. All forward-looking statements included in this press release are based upon information available to GSI Technology as of the date hereof, and GSI Technology assumes no obligation to update any such forward-looking statements. Forward-looking statements involve a variety of risks and uncertainties, which could cause actual results to differ materially from those projected. These risks include those associated with the normal quarterly and fiscal year-end closing process. Examples of risks that could affect our current expectations regarding future revenues and gross margins include those associated with fluctuations in GSI Technology’s operating results; GSI Technology’s historical dependence on sales to a limited number of customers and fluctuations in the mix of customers and products in any period; global public health crises that reduce economic activity; the rapidly evolving markets for GSI Technology’s products and uncertainty regarding the development of these markets; delays or unanticipated costs that may be encountered in the development of new products based on our in-place associative computing technology and the establishment of new markets and customer and partner relationships for the sale of such products; intensive competition; the continued availability of government funding opportunities; and delays or unexpected challenges related to the establishment of customer relationships and orders for GSI Technology’s radiation-hardened and tolerant SRAM products. Many of these risks are currently amplified by and will continue to be amplified by, or in the future may be amplified by, economic and geopolitical conditions, such as worldwide inflationary pressures, policy unpredictability, the imposition of tariffs and other trade barriers, military conflicts and a challenging global economic environment. Further information regarding these and other risks relating to GSI Technology’s business is contained in the Company’s filings with the Securities and Exchange Commission, including those factors discussed under the caption “Risk Factors” in such filings.</p>
<div class="lb-trans"><p>本新闻稿中包含的非纯历史性陈述是根据 1934 年证券交易法第 21E 条的定义的前瞻性陈述，包括关于 GSI Technology 对未来的预期、信念、意图或战略的陈述。本新闻稿中包含的所有前瞻性陈述均基于截至本日期 GSI Technology 可获得的信息，GSI Technology 不承担更新任何此类前瞻性陈述的义务。前瞻性陈述涉及多种风险和不确定性，这可能导致实际结果与预测结果存在重大差异。这些风险包括与正常季度和财政年度结束结算过程相关的风险。可能影响我们对未来收入和毛利率当前预期的风险示例包括与 GSI Technology 经营结果波动相关的风险；GSI Technology 历史上对有限客户销售的依赖及任何时期客户和产品组合的波动；减少经济活动的全球公共卫生危机；GSI Technology 产品市场的快速发展及对这些市场发展的不确定性；在基于我们现有的关联计算技术开发新产品时可能遇到的延迟或意外成本，以及为销售此类产品建立新市场和客户及合作伙伴关系的挑战；激烈的竞争；政府资助机会的持续可用性；以及与建立客户关系和 GSI Technology 辐射硬化和耐受 SRAM 产品订单相关的延迟或意外挑战。许多这些风险目前受到经济和地缘政治条件的放大，并将继续受到放大，未来可能会受到放大，例如全球通货膨胀压力、政策不可预测性、关税和其他贸易壁垒的实施、军事冲突以及严峻的全球经济环境。有关这些及其他与 GSI Technology 业务相关的风险的更多信息，请参阅公司向证券交易委员会提交的文件，包括在这些文件中讨论的 “风险因素” 标题下的因素。</p>
</div><p>Source: GSI Technology, Inc.</p>
<div class="lb-trans"><p>来源：GSI Technology, Inc.</p>
</div><p><strong>Contacts:</strong></p>
<div class="lb-trans"><p><strong>联系方式：</strong></p>
</div><p><strong>Investor Relations</strong></p>
<div class="lb-trans"><p><strong>投资者关系</strong></p>
</div><p>Hayden IR</p>
<div class="lb-trans"><p>Hayden IR</p>
</div><p>Kim Rogers</p>
<div class="lb-trans"><p>Kim Rogers</p>
</div><p>541-904-5075</p>
<div class="lb-trans"><p>541-904-5075</p>
</div><p>Kim@HaydenIR.com</p>
<div class="lb-trans"><p>Kim@HaydenIR.com</p>
</div><p><strong>Media Relations</strong></p>
<div class="lb-trans"><p><strong>媒体关系</strong></p>
</div><p>Finn Partners for GSI Technology</p>
<div class="lb-trans"><p>Finn Partners 为 GSI Technology 提供服务</p>
</div><p>Ricca Silverio</p>
<div class="lb-trans"><p>Ricca Silverio</p>
</div><p>(415) 348-2724</p>
<div class="lb-trans"><p>(415) 348-2724</p>
</div><p>gsi@finnpartners.com</p>
<div class="lb-trans"><p>gsi@finnpartners.com</p>
</div><p><strong>Company</strong></p>
<div class="lb-trans"><p><strong>公司</strong></p>
</div><p>GSI Technology, Inc.</p>
<div class="lb-trans"><p>GSI Technology, Inc.</p>
</div><p>Douglas M. Schirle</p>
<div class="lb-trans"><p>Douglas M. Schirle</p>
</div><p>Chief Financial Officer</p>
<div class="lb-trans"><p>首席财务官</p>
</div><p>408-331-9802</p>
<div class="lb-trans"><p>408-331-9802</p>
</div><hr/>
<div class="lb-trans"><hr/>
</div><p>1 <em>Artificial Intelligence in Drones Market by Offering, Technology, Application &amp; Region – Global Forecast to 2030.</em> https://www.marketsandmarkets.com/Market-Reports/artificial-intelligence-drones-market-43722301.html</p>
<div class="lb-trans"><p>1 <em>无人机市场中的人工智能按产品、技术、应用和地区 – 全球预测到 2030 年。</em> https://www.marketsandmarkets.com/Market-Reports/artificial-intelligence-drones-market-43722301.html</p>
</div><p>2 <em>Edge AI Processor Market by Type, Device, End Use, and Region: Global Opportunity Analysis and Industry Forecast, 2023–2032</em>. https://www.alliedmarketresearch.com/edge-ai-processor-market-A16569</p>
<div class="lb-trans"><p>2 <em>边缘 AI 处理器市场按类型、设备、最终用途和地区：全球机会分析和行业预测，2023–2032 年</em>. https://www.alliedmarketresearch.com/edge-ai-processor-market-A16569</p>
</div><p><img src="https://imageproxy.pbkrs.com/https://www.globenewswire.com/newsroom/ti/query-bmY9T1RVM01EWTJOQ00zTWpRNU5qa3dJekl3TURjek16RT0" alt="" original-src="https://www.globenewswire.com/newsroom/ti?nf=OTU3MDY2NCM3MjQ5NjkwIzIwMDczMzE="/></p>
<p><img src="https://imageproxy.pbkrs.com/https://ml.globenewswire.com/media/MmJmNjYxMTEtNGNkNC00Y2E0LWFmMTMtOWRmYmQwYmVhODc5LTEwMTg5MDQtMjAyNS0xMS0wNi1lbg==/tiny/GSI-Technology-Inc-.png" alt="" original-src="https://ml.globenewswire.com/media/MmJmNjYxMTEtNGNkNC00Y2E0LWFmMTMtOWRmYmQwYmVhODc5LTEwMTg5MDQtMjAyNS0xMS0wNi1lbg==/tiny/GSI-Technology-Inc-.png"/></p>

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