🤖 Nvidia Unveils New AI Chip

PLUS: China Internet Giants Purchase $5B of Nvidia Chips

Welcome back AI enthusiasts!

In today’s AI Report:

  • 🔋Nvidia Unveils New AI Chip

  • 🇨🇳China Internet Giants Purchase $5B of Nvidia Chips

  • 🛠5 Trending Tools

  • 💰Venture Capital Updates

  • 💼Who’s Hiring?

Read Time: 3 minutes

🗞RECENT NEWS

NVIDIA

🔋Nvidia Unveils New AI Chip

On Tuesday, Nvidia announced a new chip designed to run artificial intelligence models at the SIGGRAPH 2023 conference.

This new blazing-fast processor is called the GH200 Grace Hopper Superchip.

It has 141 gigabytes of next-generation memory and a 72-core ARM central processor.

Jensen Huang, Nvidia President and CEO, said, “We’re giving this processor a boost. This processor is designed for the scale-out of the world’s largest data centers.”

Nvidia also significantly upgraded its Omniverse platform, an AI workbench for customer enterprises, models, and partnerships with Hugging Face and Adobe.

Why It’s Important:
  • Nvidia currently dominates the market for AI chips, with over 80% market share and 95% of the GPU market for machine learning.

  • This new chip will help Nvidia suffocate rivals like AMD, Google, and Amazon, which are battling for control of the AI market.

  • Nvidia claims this new processor will reduce the cost of powering Large Language Models (LLMs).

WORLD NEWS

🇨🇳China Internet Giants Purchase $5B of Nvidia Chips

China’s Internet giants Baidu, ByteDance, and Alibaba are rushing to acquire high-performance Nvidia chips to continue their AI ambitions.

These companies have ordered $1B worth of 100,000 A800 processors from Nvidia. Chinese groups also purchased $4B worth of graphics processing units (GPUs).

The A800 GPU is a weakened version of Nvidia’s cutting-edge A100 GPU for data centers. These recent purchases are fueled by fears that the US will impose new export controls.

China believes the Biden administration is considering new export restrictions, which would cause a GPU shortage, forcing companies to halt Large Language Model (LLM) projects.

Why It’s Important:
  • Nvidia’s GPUs are the hottest commodity among the world’s largest companies. They provide computing power for AI projects.

  • China doesn’t possess the correct infrastructure or knowledge to produce these chips. So, without stockpiled Nvidia chips, they can’t pursue training AI models.

🛠TRENDING TOOLS

📊Taskade is an AI-powered task manager and productivity tool with five essential tools unified in one space.

☄️Adobe Firefly is designed to help you generate unique imagery for digital imaging, photography, graphic design, and social media marketing.

🎓TeacherMatic is designed by teachers for teachers. This tool helps professors reduce their workload by producing classroom-ready resources in seconds.

💻SiteKick simplifies creating a beautiful landing page for your products by crafting stunning pages that convert without coding, copywriting, or design experience.

💭MarketMuse is an SEO tool that analyzes your entire website to give you personalized, objective insights.

💰VENTURE CAPITAL UPDATES

  • Musk’s Neuralink raises $280M in funding, led by Thiel’s Founder Fund.

  • Tractian’s new $45M Series B funding boosts AI-driven maintenance operations.

  • Deepset secures $30M to expand its LLM-focused LMOps offerings.

💼WHO’S HIRING?

  • Reddit (Remote): Senior Software Engineer, ML Serving Infrastructure

  • DoorDash (Seattle, WA): Staff Engineer, Machine Learning Science - AI for Voice Ordering

  • Red Hat (Toronto, ON, Canada): Senior Performance Engineer

🤖PROMPT OF THE DAY

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📒FINAL NOTE

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