Piper Sandler analysts have identified Nvidia (NASDAQ: NVDA) and Taiwan Semiconductor Manufacturing Company (TSMC) as the biggest beneficiaries of the growing demand for inference compute power—a key driver in AI infrastructure spending.

AI Spending Shifts Toward Inference Compute Power

🔹 Inference computing is now the dominant cost driver for AI labs, surpassing training expenses.
🔹 OpenAI and Anthropic currently allocate 75% of compute resources to inference, expected to rise to 90% as training stabilizes.
🔹 No shortcuts exist in inference compute deployments, requiring massive capex investments.

Nvidia & TSMC Leading AI Infrastructure Growth

✅ Nvidia is the top beneficiary, with its GPUs playing a crucial role in AI inference.
✅ TSMC follows closely, benefiting from the semiconductor demand boom.
✅ Networking and optical solutions will be essential in scaling AI infrastructure.

DeepSeek vs. OpenAI: Cost Efficiency Debate

📌 DeepSeek's AI advancements made headlines, but its cost efficiencies fall short when compared to OpenAI.
📌 A similar OpenAI run would have cost $10M, making DeepSeek's claims less impressive relative to U.S. benchmarks.

Financial Data Insights with APIs

📊 Technical Intraday API - Track NVDA and TSMC's stock performance amid AI-driven demand.

📊 Company Rating API - Analyze Nvidia & TSMC's fundamental ratings as AI spending surges.

With AI inference becoming the primary cost driver, Nvidia and TSMC are well-positioned for long-term growth.