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The money, the models, the machines. OpenAI, Oracle, and SoftBank are pouring toward a $500B, 10-gigawatt Stargate buildout, Alibaba just dropped a trillion-parameter model, and Microsoft says it can cool chips 3x better by etching channels straight into silicon. Meanwhile, Google expands AI Mode to Spanish, pulling hundreds of millions into conversational search.
📌 In today’s Generative AI Newsletter:
Stargate expansion races toward $500B and 10 gigawatts
Alibaba unveils trillion-parameter Qwen3-Max
Microsoft tests microfluidic chip cooling
Google rolls out AI Mode in Spanish
OpenAI, Oracle and SoftBank Race Toward $500B, 10-Gigawatt Commitment
Image Credits: OpenAI
OpenAI, Oracle and SoftBank are adding five new U.S. data center sites under the massive Stargate AI infrastructure program. These new builds bring total planned capacity to nearly 7 gigawatts and over $400 billion in investment, pushing Stargate ahead of schedule to hit its full $500 billion, 10-gigawatt target by the end of 2025.
What’s new with Stargate’s expansion:
Five new sites: Locations include Shackelford County (TX), Doña Ana County (NM), the Midwest (to be announced), Lordstown (OH), and Milam County (TX).
Capacity boost: Together, the new facilities add more than 5.5 gigawatts, with potential to scale beyond 7 gigawatts overall.
Job creation: Over 25,000 onsite roles plus tens of thousands of indirect jobs nationwide.
Big partnerships: Oracle is powering Stargate with its cloud infrastructure, while SoftBank is leveraging energy expertise and advanced data center design.
Political push: Originally announced at the White House alongside President Trump, the project is moving faster than expected under supportive U.S. policies.
The flagship Abilene, TX campus is already live, with Oracle delivering NVIDIA GB200 racks and early training workloads. For OpenAI, the build-out signals that computing at this scale is becoming the backbone of the next era of AI.
Alibaba Launches Qwen3-Max: A Trillion-Parameter AI Model
Image Credits: Youtube
Alibaba has launched its most powerful AI system yet: Qwen3-Max, a language model packing over 1 trillion parameters. Revealed at the company’s annual conference, the model marks a major step in Alibaba’s strategy to put AI at the center of its business.
What’s new with Qwen3-Max:
Massive scale: With over a trillion parameters, it’s Alibaba’s largest model to date.
Autonomous agents: Goes beyond chatbots by making independent decisions and taking actions with minimal human prompting.
Coding powerhouse: Shows particular strength in software code generation.
Benchmark wins: Outperformed Anthropic’s Claude and DeepSeek-V3.1 on Tau2-Bench metrics.
Heavy investment: Alibaba plans to spend 380 billion yuan ($53B) on AI infrastructure over three years, with CEO Eddie Wu signaling even more funding to come.
Beyond text: Alongside Qwen3-Max, Alibaba also introduced Qwen3-Omni, a multimodal model for AR/VR, smart glasses, and intelligent cockpits.
Wu summed up the momentum: “The speed of AI industry development has far exceeded our expectations.” This reflects both the breakneck pace of global AI progress and Alibaba’s urgency to stay competitive. By scaling up Qwen3-Max and investing billions in infrastructure, the company is chasing the rivals and positioning itself as a leader in the next generation of autonomous AI systems.
Microsoft Cools AI Chips 3x Better With Microfluidic
Image Credits: Microsoft
AI chips are running hotter than ever and Microsoft has just tested a breakthrough cooling method that goes straight to the source. By etching microscopic channels directly into silicon chips, the company’s new microfluidics system removes heat up to three times more effectively than today’s advanced cold plates.
What’s new with Microsoft’s cooling breakthrough:
Direct-to-silicon cooling: Liquid flows inside etched grooves on the chip itself, slashing heat at the source.
AI-optimized precision: Microsoft uses AI to detect chip heat signatures and route coolant more efficiently.
Better performance: Reduced GPU temperatures by up to 65%, enabling higher power density and even safe overclocking.
Sustainability gains: More efficient cooling cuts energy costs and could boost datacenter efficiency at scale.
Next-gen potential: Opens the door for denser datacenters, 3D chip architectures, and more compact high-performance designs.
Microsoft is investing over $30 billion this quarter in infrastructure, including its custom Maia and Cobalt chips, making cooling innovation central to its AI ambitions. The message is clear: to unlock the next wave of AI compute, you don’t just need better chips, you need to keep them from melting down.
Google Expands AI Mode to Spanish-Speaking Users Worldwide
Image Credits: Google
Google is rolling out its AI Mode search experience in Spanish, marking the feature’s biggest language expansion yet. The move gives Spanish-speaking users access to a conversational search interface where they can ask natural language questions, engage in back-and-forth chats, upload images and dive deeper into complex topics.
What’s new with Google’s AI Mode rollout:
Spanish launch: Expands beyond English, Hindi, Japanese, Korean, Indonesian and Brazilian Portuguese.
Global reach: Follows August’s expansion to 180 countries; previously limited to the U.S., U.K. and India.
Premium perks: Google AI Ultra subscribers can request restaurant reservations, with future support for event tickets and appointments.
Subscription push: More affordable Google AI Plus plan, first tested in Indonesia is now live in 40 additional countries.
Competitive context: Comes as OpenAI grows its mid-tier ChatGPT Go plan, offering higher usage and memory capabilities.
For users, it’s easy to confuse Google’s overlapping AI features. AI Mode is a separate, immersive chat experience with Gemini AI, while AI Overviews are quick, AI-generated summaries at the top of traditional search results. With the Spanish rollout, Google is signaling that conversational, AI-first search is entering the mainstream.
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