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- 🚨 GPUs Just Got Outdated
In partnership with
Google pushed a quiet update. NVIDIA unlocked a sudden 10× jump. And the cloud giants? They all switched to multi-node AI like someone flipped the same hidden switch at the same time. No one is saying why yet. But the timing is strange.
What are on FIRE 🔥
PRESENTED BY SYNTHFLOW
A Better Way to Deploy Voice AI at Scale
Most Voice AI deployments fail for the same reasons: unclear logic, limited testing tools, unpredictable latency, and no systematic way to improve after launch.
The BELL Framework solves this with a repeatable lifecycle — Build, Evaluate, Launch, Learn — built for enterprise-grade call environments.
See how leading teams are using BELL to deploy faster and operate with confidence.
AI INSIGHTS
AI models are too big for single GPUs now. So AWS, Google, Microsoft and Oracle Cloud just rolled out NVIDIA Dynamo to run huge MoE and long-context models across multiple GPU nodes.
Blackwell = 10× throughput
NVIDIA says Blackwell delivers 10× Hopper performance. But to unlock that in production, you need multi-node inference, not single boxes.
Why multi-node matters:
Old setup: one GPU does prefill + decode.
New setup: Dynamo splits the tasks across nodes.
This removes bottlenecks. Signal65 hit 1.1M tokens/sec with 72 Blackwell Ultra GPUs. Baseten doubled performance with no new hardware.
Clouds are enabling it
AWS → Dynamo + EKS
Google Cloud → AI Hypercomputer
Azure → ND GB200-v6 clusters
OCI → Superclusters + Dynamo
Kubernetes + Grove
NVIDIA’s new Grove API lets devs describe the whole system in one line. Grove handles the orchestration across clusters.
Why it matters: Inference is going distributed. The next AI apps won’t run on one GPU. They’ll run on clusters acting as one machine.
IN PARTNERSHIP WITH ROKU
Shoppers are adding to cart for the holidays
Over the next year, Roku predicts that 100% of the streaming audience will see ads. For growth marketers in 2026, CTV will remain an important “safe space” as AI creates widespread disruption in the search and social channels. Plus, easier access to self-serve CTV ad buying tools and targeting options will lead to a surge in locally-targeted streaming campaigns.
Read our guide to find out why growth marketers should make sure CTV is part of their 2026 media mix.
AI SOURCES FROM AI FIRE
1. Commanding ChatGPT agent to handles multi-step workflows. We’ll show how to clearly shift from simple AI tools to a true assistant
2. Stop getting lame AI answers: 10 secret prompt blueprints. I'm sharing 10 structures that force the AI to give you perfect results
3. Construct a multi-agent team: A complete no-code framework. How to assemble and manage a team of AI assistants for your needs
TODAY IN AI
AI HIGHLIGHTS
🔥 Google just added Deep Research to NotebookLM. It now scans hundreds of sources for you and pulls in Sheets, images, PDFs, and Word docs from Drive.
🧪 The new Code Arena lets you watch AI build full apps live, inspect every file edit, and compare models. It turns benchmarks into a real coding lab.
🎬 Disney+ is planning gen-AI UGC so you can make short-form Disney scenes yourself and share them in-app. Bob Iger says IP stays protected.
🎮 DeepMind’s SIMA 2 is a Gemini-powered game agent that follows instructions, reasons, chats, and improves by playing new worlds made by Genie 3.
⚠️ Anthropic blocked an AI-driven cyberattack where Claude Code ran 80–90% of an intrusion on 30+ targets. It is the first large-scale AI-orchestrated campaign.
💰 AI Daily Fundraising: Cursor has raised $2.3B Series D, pushing its valuation to $29.3B. Backers include Google, NVIDIA, Accel, a16z, Thrive, DST, and Coatue. Cursor now exceeds $1B ARR and says its Series D will fuel the next wave of AI-powered coding tools.
UNDERRATED AI SERIES FOR BEGINNERS
Youtube Playlist: Math for Deep Learning - Andreas Geiger
If you want to learn Deep Learning in a solid, structured way from the ground up, this is the lecture series you should watch.
Professor Andreas Geiger from the University of Tübingen explains everything in a clear way with clean visuals, so you understand the math behind modern AI models the first time you hear it.
→ The series covers all the core foundations you actually need.
If you want to learn Deep Learning with real understanding. This series is the one you should finish.
NEW EMPOWERED AI TOOLS
🧠 MemoryPlugin supercharges your AI with long term memory, making AI 10x more useful. Stop being tired of reminding AI about the same things in every new chat. AI Amnesia is costing you hours every week!
💬 Group Chats in ChatGPT let you collaborate with friends & AI together in one shared conversation.
🌐 SIMA 2 is Google’s most advanced 3D AI agent, able to play, reason, and act in virtual worlds.
⌨️ Scraib.app is your AI writing partner on Mac, rewriting and improving text in any app instantly.
AI CHART
Baidu launched ERNIE 5 right after GPT-5.1. It’s a native multimodal model built to take on GPT-5 and Gemini 2.5 Pro.
Key claims
Beats GPT-5-High + Gemini 2.5 Pro on OCRBench, DocVQA, ChartQA
Strong chart + document reasoning
Ties Google Veo3 in image quality
Text-optimized Preview 1022 scores higher
Pricing: Mid-range. Cheaper than GPT-5.1.
Extra push: GenFlow 3.0 hits 20M users. Apollo Go passes 17M robotaxi rides. Plus an Apache-licensed ERNIE-4.5-VL for open-source use.
Bottom line: If true, ERNIE 5 is Baidu’s closest shot at GPT-class performance.
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The AI Fire Team
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