Despite market headwinds, strategic pivots and supply chain optimization successfully offset revenue pressure. Cost controls significantly improved margins. With continued R&D investment strengthening competitive moats, analysts see robust long-term growth and maintain a positive outlook.

Key Highlights

• Strategic Shift Succeeds: Core business adjustments buffered against weak external demand.
• Profitability Boost: Strict cost cutting and efficiency gains improved margins.
• Competitive Edge: Sustained R&D investment secures technical leadership and moats.
• Market Share Gains: Expansion in key sectors indicates stronger brand influence.
• Optimistic Outlook: Management anticipates new product lines will drive future growth.
• Acquiring Groq helps NVIDIA strategically expand into more diverse AI inference applications and counter CSPs' in-house ASIC growth.

Table of Contents

1. Introduction
2. Agentic AI as the Key for AI to Achieve True Interactions with the Real World
3. Predicament of Memory to Resurface under Demand for Computing Architectures by AI
   • Operations of Agentic AI Hardware
4. HBM Retains Advantages; SRAM Could Achieve High-Efficiency Inference for Specific Applications
   • Key Application Scenarios of SRAM 
5. Related Open-Source Deployment Related to NVIDIA’s Alliance with Groq from the Impact of AI Inference on Computing Architecture
   • Groq's Partnerships and Corresponding Deployment
6. NVIDIA to Expedite Preparation of AI Ecosystem as SRAM Coexists with HBM
   • Comparison of Architectures between GPU + HBM and LPU + SRAM
7. The Structural Shift in AI Inference: From“Static Generation”to“Real-Time Interaction”
   • Examples of AI Applications Adopting Groq's Technology
8. Hardware Meets Software: NVIDIA Delves Deeper into Its Open-Source Strategy
   • NVIDIA's Investments in Developing Open-Source Ecosystem
9. Mid-to-Long-Term Outlook: Acquiring Groq Expands NVIDIA's Edge AI Inference Reach and Counters CSP In-House ASIC Growth
   • Rising Demand and Shipment Share for AI ASICs (e.g., Google TPU) Will Be a Threat to GPU Market in 2026

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