This New Technology will keep Moore's Law Alive

Anastasi In Tech
30 Jul 202419:09

TLDRThe video from Anastasi in Tech discusses the challenges of cooling in semiconductors as computing demand surges. It explores various cooling methods, from air and liquid cooling to advanced techniques like 3D stacking and TSVs. The highlight is the innovative 'Transistor Level Cooling Technology' that could revolutionize chip cooling, allowing for more powerful chips and AI ASICs without overheating. The summary also touches on the environmental impact of cooling methods and the potential of AI in optimizing data center cooling efficiency.

Takeaways

  • 📈 Computing demand is expected to increase by at least 100 times over the next 5 years, driving chip makers to innovate to meet the demand for semiconductors.
  • 🔩 This decade is focused on vertical integration, with chiplets and transistors being stacked to improve performance, but this presents cooling challenges.
  • 🌡 New transistor-level cooling technologies are being developed to prevent overheating in increasingly dense chips.
  • 🔆 Dark silicon is a phenomenon where many transistors on a chip can't compute simultaneously due to thermal and power limitations.
  • 🛠️ The future of chip design involves stacking nano sheets vertically, which will generate more heat and require advanced cooling solutions.
  • ♨️ Heat is a byproduct of semiconductor operation that can degrade performance and reduce component lifetime if not managed effectively.
  • 💨 Traditional cooling methods like air and liquid cooling have their limits and more advanced strategies are needed for high-TDP chips.
  • 🔨 Physical design phase in chip creation includes strategies to minimize temperature gradients and hotspots using EDA and Power Analysis Tools.
  • 🔩 TSVs (Through Silicon Vias) are used in 3D chips to create pathways for heat dissipation, improving performance and cooling.
  • 💦 Immersion cooling is an efficient method being considered for managing the heat of powerful chips, but it faces environmental and chemical challenges.
  • 🤖 AI is being used to optimize data center cooling, with Google's DeepMind reducing cooling system power consumption by 40% through neural network optimization.

Q & A

  • What is the main challenge that chip makers are facing according to the report by McKinsey?

    -The main challenge chip makers are facing is the increasing computing demand, which is expected to grow by a factor of at least 100 over the next 5 years. This demand for semiconductors is driving the need for more advanced cooling technologies to prevent overheating.

  • What is the term 'dark silicon' referring to in the context of chip technology?

    -'Dark silicon' refers to a phenomenon where a significant portion of the transistors on a chip cannot be used simultaneously due to power and thermal constraints, which limits the performance of the chip.

  • What is the significance of the transition from FinFET architecture to stacking nano sheets vertically?

    -The transition to stacking nano sheets vertically is significant because it represents a new approach to increasing transistor density and performance beyond what is achievable with the current FinFET architecture.

  • What is the role of TSVs in 3D chip designs?

    -TSVs, or through-silicon vias, are copper connections that travel through the silicon die and are used to connect chiplets in 3D designs. They provide both vertical and horizontal pathways for heat dissipation and help in managing the thermal challenges of stacked chips.

  • How does air cooling compare to liquid cooling in terms of heat dissipation capabilities?

    -Air cooling is suitable for chips with lower thermal design power (TDP), such as some desktop and server processors dissipating up to 280W. However, liquid cooling can conduct up to 3,000 times more heat than air, making it necessary for chips with higher TDPs, like NVIDIA GPUs that can dissipate up to 1,000W of heat.

  • What is the concept of 'Embedded Cooling' and how does it differ from traditional cooling methods?

    -'Embedded Cooling' is a concept where coolant is brought to the interior of the silicon, very close to the computing cores. This method is more efficient than traditional air or liquid cooling because it places the cooling source much closer to the heat source, potentially allowing for more effective heat removal.

  • What is the potential impact of advanced cooling technologies like 'Embedded Cooling' on the performance and energy efficiency of future chips?

    -Advanced cooling technologies like 'Embedded Cooling' could significantly improve the performance and energy efficiency of future chips by allowing for higher transistor usage without overheating, reducing the amount of 'dark silicon,' and potentially decreasing the energy spent on cooling.

  • How does the cooling solution for Cerebras' wafer scale engine differ from traditional approaches?

    -Cerebras' wafer scale engine uses a unique cooling solution where the wafer floats on top of a heat sink plate with micro-fin channels. Water is pumped through these channels to remove heat, addressing the challenge of cooling a single chip with an enormous amount of heat dissipation.

  • What is the significance of the Hot Chips conference in the context of chip technology and cooling solutions?

    -The Hot Chips conference is significant as it is one of the top industry conferences where the latest advances in chip design, including cooling technologies, are discussed. It provides a platform for sharing insights and developments in the field.

  • What is the potential environmental impact of liquid immersion cooling and what are the industry's efforts to address it?

    -Liquid immersion cooling, while efficient, currently relies on PFAS chemicals which are toxic and environmentally harmful. The industry is researching alternative, more sustainable solutions and aims to stop using these chemicals by 2025.

  • How can AI contribute to optimizing cooling systems in data centers?

    -AI can analyze historical data from sensors to identify patterns and optimize power usage effectiveness in data centers. For example, Google's Deep Mind developed an AI model that reduced cooling system power consumption by 40% by optimizing data center cooling based on workload patterns.

Outlines

00:00

🚀 Future of Semiconductor Cooling Challenges

The script discusses the exponential growth in computing demand predicted by McKinsey, which will significantly increase the demand for semiconductors. It highlights the challenges of cooling high-performance chips, especially with the advent of vertical integration and stacking of chiplets and transistors. The presenter introduces various cooling technologies, including air and liquid cooling, and emphasizes the limitations of current methods, especially with the emergence of 'dark silicon'—where power and thermal constraints prevent simultaneous operation of all transistors on a chip. The NVIDIA H100 GPU and the latest NVIDIA Blackwell GPU are cited as examples of chips with high thermal design power (TDP), illustrating the severity of the cooling issue.

05:00

🛠️ Advanced Cooling Strategies for High-Performance GPUs

This paragraph delves into the complexities of advanced GPU cooling, mentioning the use of a mixture of cooling strategies by companies like AMD and NVIDIA. It explains the importance of considering the switching activity of different blocks during the physical design phase to manage hotspots and temperature gradients. The use of EDA and Power Analysis Tools, as well as TSVs (Through Silicon Vias) in 3D chip designs, is highlighted for their role in efficient heat dissipation. The paragraph also touches on the use of sophisticated heat sinks and the integration of cooling into packaging, as seen in TSMC's integrated Fan Out Wafer Scale Packaging Technology, emphasizing the need for more advanced cooling solutions as chips become more powerful.

10:01

💧 Innovations in Transistor Level Cooling Technologies

The script introduces groundbreaking developments in transistor-level cooling, where researchers at École Polytechnique Fédérale de Lausanne have engineered 3D cooling channels within the chip itself, close to the transistors. This embedded cooling approach uses deionized water to handle substantial heat flux, significantly improving cooling efficiency. The paragraph also discusses TSMC's 'Direct on chip water cooling' technology, which involves creating micro-channels on the silicon layer to dissipate heat more effectively. These innovations are seen as crucial for the future of chip design, especially for high-power chips like Cerebras' wafer scale engine, which requires advanced cooling solutions to manage its massive heat output.

15:03

🌡️ The Future of Data Center Cooling and On-Die Cooling

The final paragraph addresses the challenges and future of data center cooling, which currently consumes a significant portion of total power. It mentions the use of a combination of air and liquid cooling methods, along with AI optimization for efficiency. The paragraph also discusses the potential of liquid immersion cooling, which is more energy and area efficient, but faces environmental challenges due to the use of PFAS chemicals. It concludes with an outlook on on-die cooling technologies, suggesting that innovations like those from EPFL and TSMC will shape the future of chip cooling, despite the trade-offs and challenges they introduce in power delivery and manufacturing processes.

Mindmap

Keywords

💡Moore's Law

Moore's Law is the observation that the number of transistors on a microchip doubles about every two years, leading to an increase in computing power. In the video, it is mentioned that new cooling technologies are essential to keep Moore's Law alive, as the increasing number of transistors leads to more heat generation, which must be managed to maintain performance improvements.

💡Semiconductor fabs

Semiconductor fabs are manufacturing facilities where semiconductor devices, such as microchips, are produced. The script discusses how fabs are working to meet the growing demand for semiconductors, which is crucial for advancing computing capabilities.

💡Vertical integration

Vertical integration in the context of semiconductors refers to the practice of stacking chiplets or transistors on top of each other to increase performance in a smaller form factor. The video explains that while this enhances performance, it also poses cooling challenges due to the increased heat generation.

💡Thermal Design Power (TDP)

TDP is a measure of the maximum amount of heat a computer chip can dissipate. It is fundamental in understanding the cooling requirements for chips. The script uses TDP as an example to illustrate the heat challenges of high-performance chips like NVIDIA's H100 GPU, which has a TDP of about 700W.

💡Dark silicon

Dark silicon refers to the phenomenon where some transistors on a chip cannot be used simultaneously due to thermal and power constraints. The video script mentions dark silicon to highlight the inefficiency caused by the inability to fully utilize all transistors on a chip because of overheating issues.

💡FinFET architecture

FinFET is a type of transistor architecture that has been widely used in chip design. The script indicates that the industry is reaching the limits of what can be achieved with FinFET alone and is transitioning towards new technologies like stacking nano sheets vertically.

💡Joule heating

Joule heating is the process by which the passage of an electric current through a conductor releases heat. In the context of the video, Joule heating is a significant factor in chip design as it contributes to the heat generated during the operation of transistors.

💡Air and liquid cooling

Air and liquid cooling are methods used to dissipate heat from computer chips. The script explains that air cooling is suitable for chips with lower TDPs, while liquid cooling is necessary for chips that generate more heat, such as high-performance GPUs.

💡TSVs (Through Silicon Vias)

TSVs are copper connections that pass vertically through a silicon die, used to connect different layers or chiplets in a 3D chip design. The video script describes how TSVs help in spreading heat evenly and are a key part of advanced cooling strategies in modern chips.

💡Immersion cooling

Immersion cooling is a method of cooling where the entire system or components are submerged in a liquid, typically a non-conductive dielectric fluid. The script mentions that this method is highly efficient and is being considered for future data center cooling solutions.

💡Embedded Cooling

Embedded Cooling is a concept where coolant is brought extremely close to the heat source, such as inside the processor itself. The video script discusses this as a future technology for cooling, where micro-channels within the chip allow for direct heat removal from the transistors.

Highlights

Computing demand is expected to increase by at least 100 times over the next 5 years, according to a new report by McKinsey.

Semiconductor fabs are focusing on vertical integration and stacking chiplets and transistors to meet the growing demand.

New transistor-level cooling technology aims to prevent future chips from overheating, which is crucial for sustaining Moore's Law.

Current chips face the problem of 'dark silicon', where many transistors cannot operate simultaneously due to thermal constraints.

NVIDIA's latest GPUs, like the H100, have a Thermal Design Power (TDP) of up to 1,000W, indicating significant heat dissipation challenges.

Vertical integration in chip design is leading to more compact and powerful chips, but also increasing heat generation.

The transition from FinFET architecture to stacking nano sheets vertically is a pivotal moment in transistor history.

Heat is a disruptive byproduct in semiconductor usage, causing performance degradation and component aging.

Conventional cooling methods like air and liquid cooling have limitations and cannot efficiently cool chips beyond certain thermal design points.

Advanced cooling strategies, such as using TSVs (Through Silicon Vias) in 3D chips, help spread heat evenly and improve performance.

Immersion cooling, where entire systems are submerged in a liquid, is an efficient alternative to traditional cooling methods.

AI models, like Google's Deep Mind, are being used to optimize data center cooling, reducing power consumption by 40%.

On-die cooling technologies, such as those being developed by EPFL and TSMC, are the future of chip cooling, offering efficiency improvements of up to 50 times.

TSMC's 'Direct on chip water cooling' is an innovative approach that involves creating micro-channels directly on the silicon.

Cerebras, a leading AI chip startup, has developed a wafer-scale engine capable of 125 petaflops of AI compute, with cooling being one of its greatest challenges.

Data center cooling accounts for approximately 40% of total power usage, highlighting the need for more efficient cooling solutions.

The Hot Chips conference, a top industry event, will discuss AI in chip design and future cooling technologies.