Tenedos #004: the GPU gold rush, EV Partnerships on the rise, the Robot integrating ChatGPT

📧 This Week on Tenedos

We’re back with another exciting edition of Tenedos, where we dive into the most interesting developments in tech and business each week. My mission, as always, is to keep you informed and inspired about the world that’s being reinvented right in front of our eyes.

This week, we’re exploring three major stories that are currently capturing the general public attention.

First up is the GPU Gold Rush. The Graphics Processing Unit (GPU), the vital component that’s become the linchpin of everything from gaming to artificial intelligence, has been making headlines. As demand soars, we’ll be taking a close look at who is leading the pack and what this means for the broader tech industry.

Next, we’ll delve into the rise of Electric Vehicle (EV) partnerships. There’s been a surge of partnerships forming in this market, pointing to a future dominated by sustainable transportation. We’ll explore which alliances are shaping the EV landscape, their strategic implications, and the ripple effects they may have on the global energy market.

Finally, we’re stepping into the fascinating world of robotics. Imagine a world where robots can converse as naturally as humans, and this might be closer to reality than you think. We’ll be discussing the integration of the groundbreaking ChatGPT language model into robots, what this means for our human-robot interactions, and how this could potentially revolutionize industries ranging from healthcare to customer service.

I’m excited to journey with you into these pioneering advancements that are changing the world as we know it. Let’s dive in and discover the future, together.

Welcome to this week’s Tenedos update.

🔝 Must reads

The GPU gold rush: GPU Demand Surges Amid LLM Revolution

Recent market reports have confirmed a major surge in NVIDIA’s stock value. Within a 24-hour span, its stock rose by an unprecedented 27%. In the tech world, this almost mimics the infamous gold rush scenario.

Only this time, the gold is a Large Language Model (LLM), and NVIDIA’s “shovels” are their massively powerful Graphics Processing Units (GPUs).

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Riding The Wave of AI Revolution

LLMs, the driving force behind this modern-day digital gold rush, are bringing about a significant shift in the AI landscape. LLMs, like OpenAI’s GPT-3 or GPT-4, are incredibly computation-intensive, relying heavily on potent GPUs to execute complex machine learning tasks, including training and inference. This dynamic has led to a massive surge in demand for NVIDIA’s GPUs, contributing to its impressive stock rally.

But here lies the crux of the situation: the incredible power needed to run these LLMs also translates into substantial costs and constraints for developers and companies wishing to tap into the power of these AI models. The cost of running GPUs, not to mention their environmental impact, is a significant bottleneck in the wider adoption of these LLMs.

Turning Scarcity into Opportunity

While it might seem that this GPU-driven AI revolution places GPU manufacturers on an dangerous pedestal, it also presents a unique opportunity for innovation in the tech industry. To combat the significant compute costs associated with LLMs, developers are exploring various strategies, and the results are promising.

One approach is through compression and inference acceleration. By reducing the size of the AI models and accelerating the inference process, these methods can drastically cut down on the compute cost. This is not just a hypothetical — it’s already happening. Techniques such as model pruning, quantization, and hardware accelerators are making AI more efficient and accessible.

Here is an interesting read on this topic.

Moreover, the creation of smaller and faster AI models opens the door for deployment on CPUs or lower-powered GPUs. This development, in turn, could lead to more than 10x savings on inference costs and a significant boost in scalability.

A New Landscape for GPU Resource Management

With these advancements, the way we view and manage GPU resources is also shifting. While NVIDIA is emerging as one of the most powerful and valuable companies in the world, it is essential to treat GPU resources as the scarce commodity they are. In this sense, the focus on making AI models more efficient and less resource-intensive aligns with the broader goal of sustainable technological development.

In summary, the continuing revolution of AI and its subsequent demand for high-performance GPUs is akin to a modern “gold rush,” and is undeniably boosting the success of companies like NVIDIA. However, the crucial task at hand involves employing strategies to reduce the computational burden and effectively manage GPU resources. By advancing techniques such as model compression and inference acceleration, the tech industry can ensure a more sustainable and accessible future for AI.

While the stock market might spotlight certain champions, the real triumph will be observed in an AI landscape that promotes inclusivity, sustainability, and wide-scale adaptability.

In Case You Missed It: Tesla and Ford Forge EV Partnership

Tesla and Ford Motor Company have announced a partnership. This agreement will allow Ford’s electric vehicle (EV) customers to access Tesla’s extensive Supercharger network.

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Photo by Kindel Media

A New Trend in the Auto Industry

This partnership could be the beginning of a trend, with more automakers potentially choosing to follow Ford’s example. With an extensive EV infrastructure, Tesla stands to benefit from this trend beyond its own vehicle production.

Tesla’s potential earnings from this deal are significant. According to an analysis by Goldman Sachs, by opening up its charging network to other electric vehicles, Tesla could earn more than $25 billion in annual revenue.

Charging Time and Efficiency

A major advantage of this deal for Ford EV owners will be the speed of charging. Tesla Superchargers can fully charge a vehicle in just 20 minutes, compared to the hours that most public EV charging stations require.

The Push for Zero-Emissions Vehicles

This partnership aligns with President Biden’s ambitious target of making half of all new vehicles sold by 2030 zero-emissions vehicles. This goal can only be achieved with a sufficient charging infrastructure in place.

Increased access to charging points also means that EVs can be manufactured at a lower cost. This is because they won’t need expensive additional batteries, which will make them more affordable for consumers.

Benefits for Tesla’s Network

Tesla also stands to benefit from increased use of its charging network. A larger number of users would mean that the costs of building and maintaining the infrastructure could be distributed more evenly. This could improve the efficiency of the charging network and allow Tesla to expand it further.

The Role of EVs in Climate Change

The partnership between Tesla and Ford also plays a part in the broader issue of climate change. As we face this significant challenge, the transition to sustainable energy is becoming increasingly important, and EVs are a crucial part of that transition.

In conclusion, this partnership between Tesla and Ford is a significant step forward for the auto industry. Not only does it benefit the two companies involved, but it also contributes to the push for more sustainable transport options and the fight against climate change.

Boston Dynamics’ Spot Integrates OpenAI’s ChatGPT and Google’s Text-to-Speech

Santiago Valdarrama, an AI expert, recently shared a video demonstrating Boston Dynamics’ robot dog, Spot, performing some impressive new tricks that integrate artificial intelligence.

Spot: the robot dog from Boston Dynamics

Spot the Robot, developed by Boston Dynamics, has been making headlines as a cutting-edge quadruped robot that has captured the world’s attention with its agility, versatility, and ever-expanding skillset.

Founded in 1992, Boston Dynamics is a pioneering robotics company known for creating advanced robots with remarkable agility, mobility, and intelligence. The company’s focus on innovation has led to a series of highly advanced robots such as Atlas, Handle, and of course, Spot.

Spot is a highly adaptable, all-terrain robot dog that can traverse various environments with ease, thanks to its sophisticated legged locomotion system.

Spot + ChatGPT + Text to Speech

The almost two-minute video reveals Spot responding to natural language questions, a feat not yet seen in the world of robotics. Spot’s ability to understand and respond to questions like “Are you standing?” and “What is your battery level?” is a testament to the advancements made in the field of AI and robotics.

To achieve this, Spot combines the power of two AI systems. First, it uses OpenAI’s ChatGPT to interpret and process the information it receives from the questions. Then, to communicate its response, Spot employs Google’s text-to-speech AI, producing a clear and audible answer.

These remarkable advancements mark a significant step in the journey towards creating more intuitive and human-like interactions between robots and their environment. This breakthrough could pave the way for a myriad of new applications, from rescue operations to providing assistance in various industries.

Example applications of Spot

Spot’s unique features make it suitable for a wide range of industries and applications. Some of the key areas where Spot can be deployed include:

Inspection and Monitoring: Spot can be used for remote inspections and monitoring in various industries, such as oil and gas, power generation, and construction, ensuring the safety of workers and reducing operational risks.

Search and Rescue: Spot’s mobility and ability to traverse challenging terrains make it an ideal candidate for search and rescue missions, helping locate and reach victims in hazardous environments.

Entertainment: Spot has already made appearances in various entertainment scenarios, including theme parks and live performances, showcasing its dynamic movement capabilities and potential for interactive experiences.

As Spot continues to learn new tricks and further integrate AI technologies, we can only anticipate the incredible potential these developments hold for the future of robotics. Stay tuned for more updates on Spot’s progress and other exciting advancements in the world of AI and robotics.

📚Wrapping up

As we close this week’s edition of Tenedos, I hope you’ve found these insights valuable and thought-provoking. As the GPU market heats up, EV partnerships multiply, and ChatGPT-powered robots come to the fore, we are indeed witnesses to a transformative era in technology and business. Remember, the future isn’t something that just happens to us – we are active participants, shaping it with our ideas, choices, and actions.

As always, I appreciate your continued support and enthusiasm for the Tenedos update. Stay curious, stay engaged, and let’s continue exploring the extraordinary changes in our world together. Until next time, keep innovating!

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Disclaimer: the content of this newsletter is for informational purposes only and it represents the opinions of Michele Remonato.

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