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- 🤖NVIDIA Unveils Blackwell Ultra at GTC 2025
🤖NVIDIA Unveils Blackwell Ultra at GTC 2025
Plus: Google’s Gemini Gets a Power Boost

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🤖 NVIDIA Unveils Blackwell Ultra at GTC 2025
💡 Google’s Gemini Gets a Power Boost with Canvas
🤯 Quick Takes
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In the Know
NVIDIA Unveils Blackwell Ultra at GTC 2025

Image: Nvidia
AI just got a serious upgrade. NVIDIA has announced Blackwell Ultra at the GTC (GPU Technology Conference) 2025, which took place on Tuesday, March 18th. Blackwell Ultra is set to be the next evolution of its Blackwell AI factory platform, designed to supercharge AI reasoning, agentic AI, and physical AI. If AI was powerful before, consider this the next level of domination.
Key Points:
More Power, More Speed – The GB300 NVL72 rack-scale solution delivers 1.5x more AI performance than its predecessor and boosts revenue potential by 50x for AI factories.
AI That Thinks Smarter – With 72 Blackwell Ultra GPUs and 36 Arm-based CPUs, the system enhances test-time scaling, enabling AI models to break down complex tasks into multiple steps for higher-quality responses.
Seamless Cloud Integration – The GB300 NVL72 will be available on NVIDIA DGX Cloud, making advanced AI accessible without heavy infrastructure investments.
Breakthrough Performance – The HGX B300 NVL16 delivers 11x faster inference on large language models, 7x more compute, and 4x larger memory, tackling the most complex AI workloads with ease.
Applications Beyond AI Models – Blackwell Ultra powers:
Agentic AI – AI that plans, reasons, and acts autonomously to solve multistep problems.
Physical AI – AI-driven synthetic video generation for training autonomous systems like robots and self-driving cars.
Next-Level Networking – The platform integrates with NVIDIA Spectrum-X Ethernet and Quantum-X800 InfiniBand, providing 800 Gb/s of throughput per GPU to eliminate bottlenecks.
Industry Adoption – Major tech players like Cisco, Dell, HP, Lenovo, and Google Cloud are gearing up to deploy Blackwell Ultra, making it a game-changer across cloud and enterprise AI environments.
Why it matters?
AI isn’t just about faster models it’s about smarter, more capable systems that can reason, adapt, and perform complex tasks like never before.
💡 Did You Know?
Deepfakes Are Getting Scary Good – AI can now generate hyper-realistic deepfake videos in real-time, making it harder than ever to distinguish between real and fake content.
Google’s Gemini Gets a Power Boost with Canvas

Image: Google
Google has introduced Canvas, a workspace within its AI-powered Gemini chatbot that allows users to draft, edit, and collaborate on writing and coding projects. Think of it as a digital workspace where you can draft, refine, and collaborate, similar to OpenAI’s ChatGPT Canvas and Anthropic’s Artifacts.Users can refine text, adjust tone and formatting, and even preview code in real time. Alongside Canvas, Google is integrating Audio Overview, a tool from its NotebookLM platform that generates spoken summaries of documents. While both features are now available for free, Canvas’ code preview function is currently limited to the web.
Quick Takes
VCs Bet Big on AI-Powered Code Review: As AI coding assistants gain traction, investors are pouring money into startups developing these tools. One such company, Graphite, just secured $52 million in Series B funding to expand its AI-driven code review platform, which uses models from OpenAI and Anthropic to catch errors and suggest improvements.
AI-Generated Research Sparks Controversy at ICLR: AI labs Intology and Autoscience submitted AI-generated studies to ICLR workshops without disclosure, drawing criticism from academics who argue this exploits the peer review process. While Sakana sought permission before submitting its AI-generated papers, the backlash highlights concerns over AI’s role in academic publishing and the increasing burden on human reviewers.
That’s all for Today!
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