Rubin launches in production

Hey AI Enthusiast,

Nvidia just launched Rubin.

It's their new AI chip architecture. 3.5x faster than Blackwell for training. 5x faster for inference.

Already in production. Ramping up in the second half of 2026.

Every major cloud provider has orders in. Anthropic, OpenAI, AWS. Even government supercomputers.

This matters because AI compute costs are about to change. Again.

But first, today's prompt and tool (then why this chip matters for your AI costs...)

🔥 Prompt of the Day 🔥

AI-Generated Social Media Series

Act as an AI social media specialist. Create one content series framework for AI-generated [CONTENT THEME] posts.

Essential Details:

• Series Theme: [TOPIC FOCUS]

• Number of Posts: [SERIES LENGTH]

• Platform: [WHERE TO POST]

• AI Tool: [WHAT GENERATES IT]

• Posting Schedule: [FREQUENCY]

• Engagement Goal: [DESIRED INTERACTION]

Create one series framework including:

1. Series concept statement

2. Post topics outline (with specific angles)

3. AI prompt structure for consistency

4. Visual style guide (colors, layout, tone)

5. Hashtag strategy (branded + discovery)

6. Performance tracking metrics

Build repeatable content systems with AI.

🤖 Tool Tuesday 🤖

Dropmagic: Build Shopify Stores in Minutes

Most people spend weeks building a Shopify store.

Product descriptions. Images. Layout. Branding. Mobile optimization.

Dropmagic does it in five minutes.

It's an AI store builder for e-commerce. You give it a product. It builds the entire store.

How It Actually Works

Import any product in seconds. Dropmagic scrapes titles, images, and reviews automatically.

No manual data entry. Just paste a product URL.

Then it generates:

• High-converting product copy in any language

• Custom brand identity (colors, fonts, icons)

• Mobile-optimized layouts

• 50+ pre-built sections designed for dropshipping

The AI Image Generation feature creates custom product visuals. The Instant Branding Generator gives you a complete brand identity that matches your product category.

What Makes It Different

Most store builders give you templates. You still do the work.

Dropmagic does the work. You just direct it.

The multilingual copy generation is particularly useful. Create product pages in any language with native-sounding translations. Not Google Translate garbage. Actual localized copy.

The mobile optimization happens automatically. No separate mobile design needed.

Pricing

Free tier: Test unlimited stores. Access to 57+ sections.

Pro tier: $79/month. Gets you unlimited AI copywriting, AI image generation, one-click product import, and a free .store domain for each store you create.

Who Should Use This

If you're testing product ideas fast, this is built for you.

If you're doing dropshipping and need to launch stores quickly, this saves weeks.

If you're an agency building client stores, you can deliver faster than manual builds.

The Catch

It's optimized for speed, not uniqueness.

If you need a highly custom, brand-differentiated store, you'll outgrow this fast.

But for testing products, validating ideas, or launching MVPs, it's perfect.

Real Use Case

You find a trending product. Competitors are moving fast.

Old way: Spend 2-3 weeks building the store. By the time you launch, the trend has peaked.

Dropmagic way: Launch in one day. Test demand immediately. Iterate or kill the product based on real data.

Speed is the advantage.

The tool has over 200 paying customers. Millions of views from creators showing how it works.

If you're in e-commerce and need to move fast, this is worth testing.

Try the free tier. Build a store. See if it fits your workflow.

Check it out 👉here.

Did You Know?

AI can detect counterfeit medications by analyzing how pills dissolve in water, identifying fake drugs that would pass all traditional pharmaceutical tests.

🗞️ Breaking AI News 🗞️

Nvidia Launches Rubin Architecture

At CES yesterday, Nvidia CEO Jensen Huang officially launched Rubin, the company's new computing architecture for AI.

It's the next generation after Blackwell. And it's already in full production.

The Performance Jump

According to Nvidia's benchmarks:

• 3.5x faster than Blackwell for model training

• 5x faster for inference tasks

• Reaches up to 50 petaflops

• 8x more inference compute per watt

That last number matters. AI inference costs are driven by compute efficiency. 8x improvement means your costs drop significantly.

What's Actually New

Rubin isn't just a faster chip. It's a six-chip architecture designed to address bottlenecks across the entire AI system.

The Rubin GPU is the centerpiece. But the architecture also includes:

• New Bluefield storage improvements

• Enhanced NVLink interconnection systems

• A new Vera CPU designed specifically for agentic reasoning

Dion Harris, Nvidia's senior director of AI infrastructure, explained the storage upgrade:

"As you start to enable new types of workflows, like agentic AI or long-term tasks, that puts a lot of stress on your KV cache. We've introduced a new tier of storage that connects externally to the compute device, which allows you to scale your storage pool much more efficiently."

KV cache is the memory system AI models use to condense inputs. Agentic workflows require massive cache capacity. Rubin's external storage tier solves that bottleneck.

Who's Already Using It

Nearly every major cloud provider has Rubin systems on order:

• Anthropic

• OpenAI

• Amazon Web Services

• HPE's Blue Lion supercomputer

• Lawrence Berkeley National Lab's upcoming Doudna supercomputer

That's not beta testing. That's production deployment.

The Bigger Context

Nvidia estimates $3-4 trillion will be spent on AI infrastructure over the next five years.

Every AI lab and cloud provider is scrambling for chips and the facilities to power them.

Rubin's efficiency gains matter because they reduce both compute costs and energy requirements.

Data centers are already hitting power constraints. 8x more inference per watt means you can run more AI without needing more electricity.

What This Means for You

If you're using cloud AI services, your costs are about to drop.

API providers like OpenAI, Anthropic, and Google will pass some of these efficiency gains to customers. They have to. Competition forces it.

If you're building AI products, plan for cheaper inference in H2 2026.

If you're choosing cloud providers, watch who deploys Rubin first. They'll have the cost advantage.

The chip architecture itself isn't something you interact with directly. But it affects every AI tool you use.

Named after astronomer Vera Florence Cooper Rubin, this architecture represents Nvidia's continued dominance in AI hardware.

The relentless development cycle—Lovelace, Hopper, Blackwell, now Rubin—has transformed Nvidia into the most valuable corporation in the world.

And they're not slowing down.

Over to You...

What would you build if AI inference suddenly cost 80% less?

Hit reply and share.

To planning for cheaper AI,

Jeff J. Hunter 
Founder, AI Persona Method | TheTip.ai

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