🔥A 24x Leap in AI Compute Power

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Welcome to Thunderbolt AI, —your go-to source for breaking innovations and actionable insights in AI. If you're new to Thunderbolt AI, a warm welcome to you! You've joined a powerhouse of 21k+ AI enthusiasts, innovators, and tech leaders. Let’s dive in, shall we? Oh! Before you forget—if someone forwarded this to you, make sure to subscribe so you never miss a beat!

In this newsletter you will find:

• 🧠 How to Use AI Agents for Competitive Analysis 

• A 24x Leap in AI Compute Power

• AI Tool of the day

Lets get started🚀

🧠 How to Use AI Agents for Competitive Analysis

📊 Doing a strong competitive analysis usually requires tons of manual research. But You.com’s ARI (Advanced Research & Insights) automates it with deep market intelligence—here’s how you can use it in minutes:

✅ Step-by-Step:

1️⃣ Visit You.com and enter your email address

2️⃣ Check your email and click the activation link for ARI: Advanced Research and Insights

4️⃣ In the ARI dashboard, simply type your research question — no fancy prompts needed

💡 Sample Prompt:

🧾 In minutes, you’ll receive a downloadable competitor report packed with data, strategic insights, and growth opportunities.

🎯 Use it to:

• Spot market gaps

• Adjust positioning

• Sharpen your go-to-market strategy
  

A 24x Leap in AI Compute Power for the "Age of Inference”

At Google Cloud Next ’25, Google unveiled Ironwood, its 7th-gen TPU, purpose-built for AI inference—delivering 42.5 exaflops per pod (24x faster than the world’s fastest supercomputer, El Capitan).

🔹 42.5 exaflops at full scale (9,216 chips per pod).
🔹 4,614 teraflops per chip—6x more memory (192GB HBM) & 4.5x bandwidth vs. Trillium.
🔹 30x more power-efficient than Google’s first Cloud TPU (2018).

💡 Why it matters: AI is shifting from training giants to efficient, reasoning-based inference—where Google bets Ironwood will dominate.

⚡ The "Age of Inference" Begins

Google’s Amin Vahdat declared we’re entering an era where AI doesn’t just retrieve data but actively reasons & collaborates.

✅ Training → Inference: Models train once but infer billions of times daily—making efficiency critical.

✅ "Thinking Models": Ironwood powers Gemini 2.5’s reasoning, adjusting depth dynamically (e.g., Gemini 2.5 Flash for speed vs. Pro for deep analysis).

✅ Multi-Agent Ecosystems: Google’s new Agent Development Kit (ADK) and A2A protocol let AI agents from different vendors work together.

💎 Key Innovations Beyond the Chip

🔹 Cloud WAN: 40% faster networking, 40% lower costs.

🔹 Pathways Runtime: Scales AI across hundreds of TPUs.

🔹 Generative Media Suite: Lyria (text-to-music), video, and image gen in one workflow.

🏆 The Cloud AI Arms Race Heats Up

Google’s vertical integration (TPUs + Gemini + Cloud) challenges:

• Microsoft (Azure + OpenAI)

• AWS (Trainium/Inferentia)

Ironwood’s efficiency could slash AI costs, accelerating adoption in healthcare, finance, and media.

🏆 The Cloud AI Arms Race Heats Up

Google’s vertical integration (TPUs + Gemini + Cloud) challenges:

• Microsoft (Azure + OpenAI)

• AWS (Trainium/Inferentia)

Ironwood’s efficiency could slash AI costs, accelerating adoption in healthcare, finance, and media.

💬 Your Take?
Is inference the next AI battleground? Will Google’s hardware lead hold?

🏆AI Tool of the Day

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