The Evolution of VLSI Tech Nodes: From 10 μm to 5 nm

The evolution of VLSI tech nodes has been driven by the need for ever-increasing performance, power efficiency, and density. As the nodes have shrunk, the number of transistors that can be integrated on a single chip has increased exponentially. This has led to the development of increasingly powerful and versatile electronic devices.

What is a tech node

VLSI tech nodes are a measure of the smallest feature size in a semiconductor manufacturing process. They are typically expressed in nanometers (nm), and the smaller the number, the more advanced the process.

The first VLSI tech node was 10 micrometers (μm), which was introduced in the early 1970s. This was a major breakthrough, as it allowed for the integration of millions of transistors on a single chip.

Over the years, VLSI tech nodes have continued to shrink, with each new node offering significant improvements in performance, power efficiency, and density.

Read more: Why the world is crazy about tech nodes?

The following is a list of some of the most important VLSI tech nodes, along with their dates of introduction, the companies that are working on them, and some of their applications:

  • 10 μm (1970s): The first VLSI tech node. Used in early microprocessors and memory chips.
  • 3 μm (1980s): Introduced the use of polysilicon gates. Used in high-performance microprocessors and memory chips.
  • 1 μm (1990s): Introduced the use of copper interconnects. Used in high-performance microprocessors, memory chips, and graphics processors.
  • 0.65 μm (2000s): Introduced the use of low-k dielectrics. Used in high-performance microprocessors, memory chips, and graphics processors.
  • 0.45 μm (2000s): Introduced the use of strained silicon. Used in high-performance microprocessors, memory chips, and graphics processors.
  • 0.32 μm (2010s): Introduced the use of high-k metal gates. Used in high-performance microprocessors, memory chips, and graphics processors.
  • 22 nm (2010s): The current mainstream node. Used in a wide range of devices, including smartphones, tablets, laptops, and servers.
  • 14 nm (2010s): A leading-edge node used in high-performance microprocessors, memory chips, and graphics processors.
  • 7 nm (2010s): A leading-edge node used in high-performance microprocessors, memory chips, and graphics processors.
  • 5 nm (2020s): A leading-edge node used in high-performance microprocessors, memory chips, and graphics processors.

The evolution of VLSI tech nodes has been driven by the need for ever-increasing performance, power efficiency, and density. As the nodes have shrunk, the number of transistors that can be integrated on a single chip has increased exponentially. This has led to the development of increasingly powerful and versatile electronic devices.

The future of VLSI tech nodes is uncertain, but it is clear that the trend towards smaller and smaller nodes will continue. This will allow for the development of even more powerful and efficient electronic devices, which will have a profound impact on our lives.

What led to the evolution of 1 node to another?

The evolution of VLSI tech nodes has been driven by a number of factors, including:

  • The development of new materials and processes.
  • The increasing demand for higher performance and power efficiency.
  • The need to reduce the cost of manufacturing chips.

As new materials and processes have been developed, it has been possible to shrink the size of transistors and other components on a chip. This has led to significant improvements in performance, power efficiency, and density.

The increasing demand for higher performance and power efficiency has also been a driving force behind the evolution of VLSI tech nodes. As devices become more complex, they require more powerful processors and memory. Smaller nodes allow for the integration of more transistors on a single chip, which can lead to significant performance improvements.

Finally, the need to reduce the cost of manufacturing chips has also been a factor in the evolution of VLSI tech nodes. Smaller nodes can be manufactured more efficiently, which can lead to lower costs.

List of Tech nodes

Technology NodeYear IntroducedWhy IntroducedCurrent LoadingCompanies Working on ItApplications
1 µm1971To improve performance and power efficiencyLowIntel, TI, IBM, FujitsuMemory, microprocessors, logic chips
1.2 µm1975To continue the trend of improving performance and power efficiencyLowIntel, TI, IBM, FujitsuMemory, microprocessors, logic chips
1.5 µm1978To continue the trend of improving performance and power efficiencyLowIntel, TI, IBM, FujitsuMemory, microprocessors, logic chips
2 µm1981To continue the trend of improving performance and power efficiencyMediumIntel, TI, IBM, FujitsuMemory, microprocessors, logic chips
2.5 µm1984To continue the trend of improving performance and power efficiencyMediumIntel, TI, IBM, FujitsuMemory, microprocessors, logic chips
3 µm1987To continue the trend of improving performance and power efficiencyMediumIntel, TI, IBM, FujitsuMemory, microprocessors, logic chips
3.5 µm1990To continue the trend of improving performance and power efficiencyMediumIntel, TI, IBM, FujitsuMemory, microprocessors, logic chips
5 µm1993To continue the trend of improving performance and power efficiencyHighIntel, TI, IBM, FujitsuMemory, microprocessors, logic chips
6 µm1996To continue the trend of improving performance and power efficiencyHighIntel, TI, IBM, FujitsuMemory, microprocessors, logic chips
800 nm1999To continue the trend of improving performance and power efficiencyHighIntel, TI, IBM, FujitsuMemory, microprocessors, logic chips
1000 nm2002To continue the trend of improving performance and power efficiencyHighIntel, TI, IBM, FujitsuMemory, microprocessors, logic chips
90 nm2004To achieve a significant breakthrough in performance and power efficiencyHighIntel, AMD, IBM, TSMCMemory, microprocessors, logic chips
65 nm2006To continue the trend of improving performance and power efficiencyVery highIntel, AMD, IBM, TSMCMemory, microprocessors, logic chips
45 nm2008To achieve another significant breakthrough in performance and power efficiencyVery highIntel, AMD, IBM, TSMCMemory, microprocessors, logic chips
32 nm2010To continue the trend of improving performance and power efficiencyHighIntel, AMD, IBM, TSMCMemory, microprocessors, logic chips
28 nm2012To achieve another significant breakthrough in performance and power efficiencyHighIntel, AMD, IBM, TSMCMemory, microprocessors, logic chips
20 nm2014To continue the trend of improving performance and power efficiencyHighIntel, Samsung, TSMCMemory, microprocessors, logic chips
16 nm2016To achieve another significant breakthrough in performance and power efficiencyHighIntel, Samsung, TSMCMemory, microprocessors, logic chips
14 nm2017To continue the trend of improving performance and power efficiencyHighIntel, Samsung, TSMCMemory, microprocessors, logic chips
10 nm2018To achieve another significant breakthrough in performance and power efficiencyHighIntel, Samsung, TSMCMemory, microprocessors, logic chips
7 nm2019To continue the trend of improving performance and power efficiencyHighIntel, Samsung, TSMCMemory, microprocessors, logic chips
5 nm2020To achieve another significant breakthrough in performance and power efficiencyHighIntel, Samsung, TSMCMemory, microprocessors, logic chips
3 nm2022To continue the trend of improving performance and power efficiencyHighIntel, Samsung, TSMCMemory,

Conclusion

VLSI tech nodes have come a long way since the early 1970s. The development of smaller and smaller nodes has led to significant improvements in performance, power efficiency, and density. As the trend towards smaller nodes continues, it is clear that VLSI technology will continue to play a vital role in the development of new and innovative electronic devices.

Kumar Priyadarshi
Kumar Priyadarshi

Kumar Joined IISER Pune after qualifying IIT-JEE in 2012. In his 5th year, he travelled to Singapore for his master’s thesis which yielded a Research Paper in ACS Nano. Kumar Joined Global Foundries as a process Engineer in Singapore working at 40 nm Process node. Working as a scientist at IIT Bombay as Senior Scientist, Kumar Led the team which built India’s 1st Memory Chip with Semiconductor Lab (SCL).

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