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GSI TECHNOLOGY Creator of the Associative Processing Unit ( APU ) for Al and a leading provider of high- performance memory solutions Lee - Lean Shu , Chairman , President & CEO Doug Schirle , CFO Didier Lasserre , VP of Sales and Investor Relations August 2026
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©2026 GSI Technology, Inc. Safe Harbor The statements contained in this presentation that are not purely historical are forward -looking statements within the meaning o f Section 21E of the Securities Exchange Act of 1934, as amended, including statements regarding GSI Technology’s expectations, beliefs, intentions, or strat egies regarding the future. All forward - looking statements included in this press release are based upon information available to GSI Technology as of the date hereo f, and GSI Technology assumes no obligation to update any such forward -looking statements. Forward -looking statements involve a variety of risks and uncertaintie s, 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, as well as the Company’s ongoing strategic review. Examples of risks that could affect our current expectations regarding future revenues and gross ma rgins include those associated with fluctuations in GSI Technology’s operating results; GSI Technology’s historical dependence on sales to a limited number of cu stomers and fluctuations in the mix of customers and products in any period; the rapidly evolving markets for GSI Technology’s products and uncertainty regarding th e development of these markets; the need to develop and introduce new products to offset the historical decline in the average unit selling price of GSI Technolo gy’s products; intensive competition; delays or unanticipated costs that may be encountered in the development of new products based on our in -place associative computing te chnology and the establishment of new markets and customer and partner relationships for the sale of such products; and delays or unexpected challenges related to the establishment of customer relationships and orders for GSI Technology’s radiation -hardened and tolerant semiconductor products. The strategic review is su bject to risks related to the process by which GSI Technology evaluates its strategic alternatives, the terms, timing, structure, benefits and costs of any strategic transaction and whether one will be consummated at all and the impact of any strategic transaction on GSI Technology. Many of these risks are currently amplifie d by and will continue to be amplified by, or in the future may be amplified by, economic and geopolitical conditions, such as rising interest rates, worldwide inflatio nary pressures, military conflicts, and declines in the 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. 2
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©2026 GSI Technology, Inc. GSI By the numbers 3 1. Includes cash and cash equivalents, short and long-term investments as of June 30, 2026. 2. Based on the closing share price of $6.72 on August 7, 2026, and common stock outstanding of 38,432,590shares as July 31, 2026. $70.0M ( NO DEBT) $25.1M 126 Employees Worldwide 158 Total 96 for APU Patents Granted Cash and cash equivalents1LTM Revenue (as of Q1 FY2027) $258.3M Market Cap2 20% Insider Ownership Founded / IPO SRAM chips shipped to dateYears with TSMC 30 140M 1995 / 2007
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©2026 GSI Technology, Inc. From SRAM Leader to Edge AI Compute Platform 4 transition into Edge AI enabled by 30+ years of semiconductor expertise • Industry leader in high-density SRAM • Cash from operations funds APU • 30 years of collaboration with TSMC • 140 million SRAM chips shipped • 11+ years of R&D • $175M invested • 96 APU patents • Proprietary CIM architecture High-Performance SRAM Leadership Developer of APU Compute-in-Memory (CIM) Emerging Edge AI Platform Leader APU Families • Gemini-II • Plato • Future APUs Leveraging Decades of Memory Innovation to Build the Optimal Edge AI Processor
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©2026 GSI Technology, Inc. Why Edge AI requires a Different Processor 5 Edge AI's future will be defined not by maximum compute, but by maximum performance per watt Cloud AI Processors • Deliver exceptional AI performance, but are designed for data centers, not edge devices • Require substantial power and cooling infrastructure • Depend on moving data to and from the cloud, creating latency, bandwidth, and security challenges Conventional Edge Processors • Fit within edge power budgets, but often cannot deliver the AI performance required for real-time decision making • Higher-performance alternatives typically consume too much power for many edge deployments • Force tradeoffs between performance, power consumption, and response time
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©2026 GSI Technology, Inc. GPU, CPU (Von Neumann model) • Massive data transfers • Higher power consumption / more heat created Large Distributed High-Bandwidth Memory Bit-Level Parallel Compute (in memory) CIM reduces data movement, uses less power 6 DRAM (memory) L2 Cache L1 Cache + Registers Compute ComputeCompute APU CIM • Limited data movement • Lower power consumption / less heat generated Up to ~98% lower energy consumption compared with an NVIDIA A6000 in Cornell RAG testing* *Source: “Characterizing and Optimizing Realistic Workloads on a Commercial Compute-in-SRAM Device,” Cornell University-led research collaboration publication (2025) Demonstratedin Cornell-led research on RAG workloads versus NVIDIA A6000 using GSI’s CIM architecture
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©2026 GSI Technology, Inc. Targeted Edge Applications for GSI APU Family Not every AI workload belongs in the cloud 7
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©2026 GSI Technology, Inc. Gemini-II in the “sweet spot” for Edge AI 8 Bake-Off demonstrated best Performance -Per-Watt Platform Time to First Token (TTFT) System Power Gemini-II APU < 2.5 seconds ~30W Snapdragon X Elite 12 seconds ~30W Jetson Thor ~ 3 seconds >100W (Sources: company testing and publicly reported benchmark results for Gemma-3 12B multimodal model (video + text inputs)) Gemini-II delivers up to 300% better performance-per-watt with fastest response time
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©2026 GSI Technology, Inc. Current Platform Validation in Ongoing POCs • Defense/Tactical Edge: ”Sentinel” perimeter-security drone • Smart Infrastructure: ”Smart Guardian Eye” smart-city deployment Adjacent Market Opportunities for Future POCs • Industrial inspection • Robotics • Autonomous systems • Commercial drones Each deployment strengthens a reusable platform that accelerates expansion into adjacent Edge AI markets Gemini-ii POCS: Demonstrate Repeatable Edge AI Platform * From Grandview Research press release dated May 2025: Smart City Market Growth & Trends 9
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©2026 GSI Technology, Inc. Gemini-II: Targeting Markets Where Performance- Per-Watt Matters Most 10 Selected markets share the power, latency, and real-time decision-making requirements where Gemini-II is most differentiated Target Edge AI Markets • Smart Infrastructure • Autonomous Drones • Defense & Autonomous Systems • Satellite & Space AI • Industrial Vision Targeting Edge AI markets where Gemini-II’s advantages can accelerate commercial adoption Ongoing Program Validation • Taiwan Smart City POC • “Sentinel” POC • “Sentinel” POC; Army SBIR • YOLO SBIRs / Radiation tested Gemini -II SBIR • Natural expansion from current POCs
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©2026 GSI Technology, Inc. Plato: Extending Edge AI to Autonomous Systems 11 Designed to bring multimodal AI awareness and autonomous decision-making to power- constrained edge devices Gemini-II • 15 W–100 W power profile • Real-time multimodal AI • Optimized for Smart Infrastructure • Defense & Tactical Edge • Industrial Vision • Early autonomous systems Plato—Next Generation APU • Target 2 W–10 W power profile • 1/4 the footprint of Gemini-II • Higher memory bandwidth • Support for larger multimodal AI models • Designed for embedded autonomous systems Real-time Inference Context-Aware AI
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©2026 GSI Technology, Inc. Plato: Enabling Context-Aware Autonomous Edge AI 12 Situational Awareness Level of Autonomy Plato extends GSI's edge AI platform to smaller, lower -power autonomous systems where situational awareness and real -time decision-making can enable entirely new applications Edge AI Camera Today → Detect Person → Trigger Rule → Alert Human Gemini-II Camera → Detect Object/Person → Understand Event → Provide Insight Plato Camera + Sensors → Understand Situation → Decide Action → Act Autonomously
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©2026 GSI Technology, Inc. APU Roadmap Start with specialized edge AI deployments; expand into broader AI markets 13 Specialized Edge AI Broader Edge LLM Expanding Edge Targets CY2026 Gemini-II Deployments CY2028 Plato Launch Future Enhanced APUs Deployments • “Sentinel” G2 Tech Drone POC • Taiwan “Smart Guardian Eye” —Real -time alerts from surveillance cameras • US Army Phase -II SBIR Ruggedized Edge Platform • Higher DRAM bandwidth for VLM • 10-watt power profile • 1/4 the size of Gemini -II footprint • Small form factor will expand edge applications Highlights
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©2026 GSI Technology, Inc. Building a Scalable Edge AI Platform 14 Leveraging reusable software, AI -assisted development tools, and system integrator partnerships to expand across multiple edge AI markets Current Commercialization Strategy • Focus on a small number of high-value POCs • Validate Gemini-II in real-world deployments • Reuse software, models, and tools across applications • Expand into adjacent edge AI markets Building a Repeatable Growth Engine • AI-assisted SDK accelerates application development • Adapt software developed for one application • Support opportunities without growth in engineering resources • Scale Gemini-II deployments through system integrators • Grow design-win pipeline while maintaining lean operating model
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©2026 GSI Technology, Inc. Stable SRAM revenue from continued demand from GSI’s largest customers supporting leading AI processor platforms and solid military/defense customers. Q1 FY2027 includes higher R&D related to Plato chip design and associated chip design consulting fees, as well as finalization of Gemini-II software for ongoing POC and projects. Cash from financing activities in Q1 FY’27 were $14.0M including $9.3M in ATM proceeds. Cash used in operating activities was $3.9M, related to Plato development and support of Gemini-II software development. Financial overview—Q1 FY2027 15 Sufficient Funds to commercialize Gemini -II & Advance Plato design $67.2 $77.0 $50.0 $55.0 $60.0 $65.0 $70.0 $75.0 $80.0 Dec. 31, 2025 June 30, 2026 Cash & Cash Equivalents (in millions) $5.8 $8.5 $8.8 Jun. 30, 2025 Mar. 31, 2026 Jun. 30, 2026 Operating Expenses (in millions) $6.3 $6.3 $6.3 June 30, 2025 Mar. 31, 2026 June 30, 2026 Quarterly Net Revenues (in millions)
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©2026 GSI Technology, Inc. High-Margin SRAM Business Funds APU Development 16 Industry leader with largest portfolio of high-performance memory products SigmaQuad and SigmaDDR core business growth drivers SigmaQuad SRAMs recognized for industry-leading density and speeds 3rd and 4th Generation, sole-sourced, fastest off-the-shelf SRAM on market SRAM revenue provides financial foundation to develop and commercialize APU platform High density, low latency, high bandwidth, low power consumption
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©2026 GSI Technology, Inc. Radiation-Hardened & Tolerant SRAM 17 for Aerospace, Satellite & Defense Space Semiconductor TAM Radiation Hardened, Radiation Tolerant 2032 $4.8B 2022 $2.1B 8.8% CAGR Allied Market Research February 2024 Advantages: • Chips designed to protect from solar, deep space radiation • Highest density, fastest speed, with “pin-to-pin” replacement • Completed testing and stringent qualification processes Future revenue and profitability drivers: • Awaiting shipment on received orders • ASP up to $30K with 90%+ gross margin • Recurring revenue lifecycles of 10+ years; long design cycles Shared defense customer ecosystem supports APU commercialization.
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©2026 GSI Technology, Inc. • Proven semiconductor manufacturing model capable of supporting future APU growth • Strong financial foundation with $77.0M cash and no debt • Gemini-II validation through active Smart City, Defense, and U.S. Army programs • Gemini-II chip production-ready; AI-assisted SDK expected this fall • Building a scalable commercialization model through reusable software, development tools, and system integrator partnerships • Plato extends the platform into a new class of low-power autonomous edge AI systems 18 Investment Highlights Building a Scalable Edge AI Platform Company
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GSI Technology High Performance Components for Leading-Edge Technology GSITechnology.com / IR Contact: GSIT@HaydenIR.com
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©2026 GSI Technology, Inc. Appendix 20
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©2026 GSI Technology, Inc. GSI awarded over $6 million of SBIR* funds to date • $2 million Phase II with U.S. Army to develop & test ruggedized edge AI platform • POC with G2 Tech along with DoW and a foreign defense agency valued at ~$1 million • Space Development Agency Phase II SBIR valued at $751,000 • $1.25 million Space Development Agency Phase II SBIR • $1.1 million Air Force Phase II SBIR • $250K U.S. Army Phase I SBIR Accessing DOW SBIRs & Government funds *SBIR – Small Business Innovation Research is a United States government program to stimulate technological innovation by funding small businesses to engage in federal R&D with the potential for commercialization. The DoW is one of the largest participants in the SBIR program . ** AFWERX is the innovation arm of the US Air Force, leveraging technology from military as well as private industry, academi a and other government agencies. Offsetting R&D expenses & Creating APU awareness within D OW Agencies 21 Future DoW opportunities • Phase 1 SBIR with Air Force worth $75K • Additional SBIR proposals in queue for a total pipeline value of $6−$10 million Pursuing new, larger DoW funding sources—AFWERX STRATFI/TACFI** programs for Gemini-II and Plato Strategic funding from partnerships with potential customers
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©2026 GSI Technology, Inc. APU Platform & roadmap 22 Gemini-I (28 nm) Frameworks Target Applications Libraries APU Roadmap 2015–2026 CY 2026 CY2027Chip Launch Timing Plato (12 nm)Gemini-II (16 nm)Gemini-I (28 nm) DB Index Builds SAR Fast Vector Search Edge Search SAR “On-board” Computer Vision Multimodal LLMs HPC/Data Search Edge AI, including: Multimodal GenAI/LLMs Computer Vision for • Drones • Automotive • Surveillance • Robotics Search Library (GSL) Vector Math Radar Library (GRL) Vector Math Tensor Math TensorFlowPythonC
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©2026 GSI Technology, Inc. Experienced Management Team Name Title Years of Experience Years with GSI Prior Companies Lee-Lean Shu Chairman and CEO 47 30 Sony, AMD Doug Schirle Chief Financial Officer 47 26 Cypress, Pericom Didier Lasserre VP Sales and IR 38 28 Cypress, Solectron Avidan Akerib VP of Associative Computing 45 10 MikaMonu, NeoMagic Patrick Chaung SR VP of Memory Design 51 16 Sony, AMD Bor-Tay Wu VP of Taiwan Operations 45 29 Atalent, AMD 23
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©2026 GSI Technology, Inc. Income Statement CONDENSED CONSOLIDATED STATEMENTS OF OPERATIONS (in thousands, except per share data) (Unaudited) 24
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©2026 GSI Technology, Inc. Summary Balance Sheet CONDENSED CONSOLIDATED BALANCE SHEETS (in thousands) (Unaudited) 25