Welcome to Data Science Dojo’s weekly newsletter, “The Data-Driven Dispatch“.
Generative AI has changed almost everything for us. One year back, customer support was a serious job for people worldwide. But, thanks to generative AI, it seems that after a few years, it will become a thing of the past, just like how hunting is for us: Unknown, mostly obsolete.
Of all the sectors that are affected by generative AI, the AI-Chips Industry is the most impacted one. Take one of the major players in this industry, NVIDIA. A few years ago, we did not know what it was. Well, maybe the people who were into blockchain would, a little. But for the rest of us, it was not a company we’d take seriously.
Fast forward to 2024, and NVIDIA is about to cross Apple with a revenue growth of over 265%. Now that’s something unusual.
This is just one example. The AI Chip Industry is thriving with intense competition and cutting-edge research fostering innovations on the go.
In this week’s dispatch, we’ll dive deeper into the AI chips industry and paint the landescape of one of the most exciting sides of generative AI.
Understanding the AI Chip Design Industry after Generative AI Boom
Generative AI, while a type of machine learning similar to others, integrates deep learning with neural networks distinctively. Read more
The older AI chips are inadequate to train language models in terms of speed, efficiency, and design. This has prompted major chip companies to develop chips optimized for generative AI and cater to the mass shortage.
Here’s a conservative forecast of the AI chips industry’s revenue growth by 2030.
Worldwide Rivalry in AI Chip Production
The special generative AI chips require a host of advanced technologies from all over the world, although they are fabricated mostly in Asia.
However, recent trade restrictions by the US, Europe, and their allies have directly affected China and Russia’s access to the technology crucial for advanced AI processing.
Despite restrictions, China made progress in chip technology, challenging Western assumptions with its development of a 7nm process node chip in September 2023, indicating a potential narrowing of the technological gap.
This highlights the commitment of countries throughout the world to AI sovereignty. As a result, they’ve planned out massive investments in AI chips.
Major Players in the AI Chip Industry
While several companies are manufacturing AI Chips worldwide, these 5 companies top the charts catering to the recent demand for generative AI.
Read more: The Economic Potential Of Generative AI Within The Chip Design Industry
Nvidia has shown insane growth in recent months because its chips are particularly quite efficient for training models. It is estimated to hold almost 80% of the global market for GPUs (Graphics Processing Units).
If you’re keen to understand NVIDIA’s growth, here’s a recommended read: A Glimpse Into The Unprecedented Growth Of NVIDIA In The World Of AI
Want to learn more about AI? Our blog is the go-to source for the latest tech news.
Future of the Job Market after GenAI Revolution
Generative AI will change the world. The labor market is going to be disrupted. It may be exciting for some, but for a greater population, it seems threatening.
A common concern among people is whether their jobs will become obsolete.
Listen to this intuitive Podcast where Luis Serrano, Founder of the Serrano Academy and Head of Developer Relations at Cohere, shares his opinion on how the future will come across after generative AI.
Maybe our grandkids won’t know how to write essays. But you know what, you and I don’t know how to make fire from rubbing rocks, or hunt a buffallo. ~ Luis Serrano
Subscribe to our podcast and get notified of our must-hear AI expert talks!
Well, no offense, but it is what it is for now!
Roadmap to Learning Large Langauge Models
If you want to understand large language models, and the inner workings that unfold when you prompt them with a query, here’s a roadmap that can help you grasp it completely. Read more
Pro-tip: If you want to learn about LLMs, and how can you build AI-powered applications from the practitioners, check our Large Language Models Bootcamp
🗞Finally, let’s end the week with some interesting industry insights.
1. Groq Offers API Access to Models like LLaMA-2 and Mixtral with Inference Speed Faster than Azure and Several Other Cloud service providers: Read more
2. OpenAI Shifts Focus to Build Autonomous Agents: It Has Started to Develop Two Agents to Automate Digital Tasks and Enhance Business Software Efficiency: Read more
3. Elon Musk Sues OpenAI, Sam Altman, Saying They Abandoned Founding Mission of OpenAI Being A Not-For-Profit Organization: Read more
4. Adobe Launches ‘Photoshop for Music’: Innovative AI Tool that Converts Text Prompts to Audio Creations with In-Depth Editing Capabilities: Read more
5. Alibaba Launches EMO AI that Makes Photos Talk and Sing: It’s a Tool for Creating Static Photos into Highly Realistic Videos, Surpassing Previous Methods in Expressiveness and Accuracy: Read more
