Detailed · 14 events
A History of Semiconductors and Hardware
1940s
01 events
Lucent Technologies / U.S. Federal Government (Wikimedia Commons) · Public Domain · Commons ↗ John Bardeen, Walter Brattain, and William Shockley at AT&T Bell Labs demonstrated amplification in a point-contact transistor made of germanium. The birth of solid-state electronic amplification—replacing the vacuum tube that had dominated since 1925—and the origin of the industrial revolution that made computing small, low-power, and mass-producible. The three shared the 1956 Nobel Prize in Physics.
- Related organizations
- Bell Labs
- Appears in
- A General History of Information Technology
1950s
01 eventsJack Kilby at Texas Instruments demonstrated the first working integrated circuit, fabricating several transistors, resistors, and capacitors onto a single germanium substrate. Six months later, Robert Noyce at Fairchild Semiconductor independently invented an IC on silicon using the planar process; Noyce's approach became the dominant manufacturing method. Kilby received the 2000 Nobel Prize in Physics.
1960s
01 eventsGordon Moore, head of R&D at Fairchild Semiconductor, contributed an article to Electronics magazine projecting that the number of components that could be integrated onto a chip would roughly double every two years or so. The observation became Moore's Law, the de facto roadmap of the semiconductor industry. In 1968 Moore and his colleague Robert Noyce co-founded Intel.
1970s
01 eventsDesigned by Federico Faggin, Masatoshi Shima, Ted Hoff, and Stan Mazor at Intel through a calculator-LSI contract from the Japanese company Busicom. 2,300 transistors, 108 kHz clock. The first commercial product to put general-purpose processing on a single chip, and the start of the lineage that ran through the Intel 8008, 8080, 8086, and into x86.
1980s
01 eventsAcorn Computers in Cambridge, UK, completed ARM1—a RISC (Reduced Instruction Set Computing) processor designed in-house for the Acorn Archimedes. Its low power consumption and compact instruction set later became the default for embedded and mobile devices; from the 2007 iPhone onward, ARM dominated the world's smartphone market. By 2026, the majority of processors shipped globally use the ARM instruction set.
2000s
01 eventsNVIDIA released the official version of CUDA (Compute Unified Device Architecture)—a programming model for using gaming GPUs as general-purpose parallel processors. Initially aimed at scientific computing, the alignment with deep learning demonstrated five years later by AlexNet (2012) turned NVIDIA into the central infrastructure company of AI computation.
2010s
03 eventsThe home button became a fingerprint sensor: Touch ID brought biometric unlock and purchase authorisation to the mainstream. At the same time the A7 became the first 64-bit smartphone processor in the world—a transition the industry had expected two years later, and one that took competitors including Qualcomm by surprise. Touch ID would later become the foundation for Apple Pay (2014).
- Related organizations
- Apple Inc.
- Related products
- iPhone
- Related terms
- Touch ID
- Appears in
- A History of the iPhone · A History of Mobile Phones and Smartphones

Daniel Voigt Godoy (Wikimedia Commons) · CC BY 4.0 · Commons ↗ At ImageNet 2012, Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton of the University of Toronto reached a top-5 error rate of 15.3%—more than ten points ahead of the runner-up's 26.2% obtained by conventional methods. Their convolutional neural network, 'AlexNet', trained on two NVIDIA GTX 580 GPUs, proved the practical viability of deep learning overnight. Computer vision shifted, almost completely, from hand-engineered features to deep learning from that point forward.
- Related people
- Geoffrey Hinton
- Appears in
- A General History of Information Technology · A History of Artificial Intelligence
Taiwan Semiconductor Manufacturing Company (TSMC) began volume production at 7 nm—the industry's first—and would continue through finer nodes at 5 and 3 nm. The first major customer was the Apple A12 in the iPhone XS. While Intel struggled to move to 10 nm, TSMC consolidated a near-monopoly on leading-edge semiconductor manufacturing. The chips of Apple, AMD, NVIDIA, and Qualcomm are now nearly all fabricated in TSMC's plants.
2020s
05 eventsApple announced the first Macs—MacBook Air, Mac mini, and 13-inch MacBook Pro—running the in-house ARM-based M1 chip, ending the fifteen-year run of Intel x86 in the Mac. The M1 outperformed the Intel Macs on both power and speed, the culmination of more than a decade of Apple's internal chip-design effort. With it, the Mac joined iPhone, iPad, and Apple Watch on a unified Apple Silicon base.
- Related organizations
- Apple Inc.
NVIDIA announced the H100 GPU—the de facto standard training and inference processor of the generative-AI era. Hopper architecture, 80 GB of HBM3 memory, FP8 support. As the demand surge following the November 2022 ChatGPT launch took hold, the H100 and its successors (H200, B200) became the core of global AI infrastructure investment, lifting NVIDIA's market capitalisation into the top tier worldwide.

Daniel Torok / The White House (Wikimedia Commons) · Public domain (US Federal Government work) · Commons ↗ At GTC 2024, NVIDIA unveiled the Blackwell GPU architecture and its first product, the B200. 208 billion transistors on TSMC's 4 nm process; 20 PFLOPS in FP4; 192 GB of HBM3e memory; a chiplet design joining two dies via high-speed interconnect. The GB200 NVL72 rack delivers 1.4 exaflops of AI compute in a single cabinet. Shipped to major customers—OpenAI, Microsoft, Google, Meta, Tesla—through 2024 and 2025, Blackwell became the spine of generative-AI compute infrastructure.

NVIDIA Corporation (Wikimedia Commons) · Apache License 2.0 (trademark applies) · Commons ↗ On 18 June, NVIDIA's market capitalisation reached about US$3.34 trillion, briefly overtaking Microsoft and Apple to become the world's most valuable company. A market acknowledgment of its transformation from gaming-GPU vendor into the central infrastructure company of AI compute. At the November 2022 ChatGPT launch, NVIDIA had been valued at roughly US$360 billion—a ninefold growth in under eighteen months. NVIDIA reclaimed the top spot in 2025, and Jensen Huang became one of the most influential executives in the AI industry.

David Zahrobsky (Wikimedia Commons) · CC BY 4.0 · Commons ↗ At the board's request, Pat Gelsinger stepped down as Intel CEO. The 'IDM 2.0' strategy he had announced in 2021—internal design, internal manufacturing, and external foundry customers as three pillars—collapsed under the delay of the 18A process, the loss of the AI-chip market to NVIDIA, and consecutive losses in the foundry business (including a US$16.6 billion loss in Q3 2024 alone). Intel stock fell about 60% in 2024. The departure, coming after the US CHIPS Act had committed up to US$8.5 billion in subsidies, showed that the geopolitical realignment of the semiconductor industry exceeded the strategy of any single firm. Lip-Bu Tan succeeded him as CEO in March 2025.