Explore semiconductors, advancements, and real-world applications shaping our digital future.
Manufacturing
Nvidia, the powerhouse behind the global AI chip revolution, announced a landmark initiative to manufacture its AI supercomputers entirely in the United States — a first for the company. Over the next four years, Nvidia plans to produce up to $500 billion worth of AI infrastructure through a series of strategic
Semiconductors
At its Cloud Next conference 2025, Google introduced Ironwood, the latest and most advanced addition to its custom-built Tensor Processing Unit (TPU) lineup. As Google’s seventh-generation TPU, Ironwood marks a pivotal evolution — purpose-built specifically for inference, the process of running and deploying AI models. Designed with the demands of
Semiconductors
SoftBank Group has announced a definitive agreement to acquire Ampere Computing, a Silicon Valley-based chipmaker, for $6.5 billion in an all-cash transaction. The deal, expected to close in the second half of 2025, marks a bold strategic move by SoftBank to deepen its investment in AI infrastructure and high-performance
Artificial Intelligence (AI)
Nvidia is printing profit—literally. The company now earns $2,300 in profit every second, riding the explosive wave of AI adoption. What once was a gaming hardware company is now a titan of AI infrastructure, with its data center business outpacing even its iconic GPUs. Now, Nvidia is raising
Semiconductors
Meta is making a bold move to take more control of its AI infrastructure. The company has begun testing its first in-house chip for AI training, signaling a major step toward reducing reliance on NVIDIA and slashing its massive compute costs. This custom chip is part of Meta’s Training
Semiconductors
Taiwan Semiconductor Manufacturing Company (TSMC), the world's leading semiconductor manufacturer, has announced an unprecedented expansion of its U.S. investment, committing an additional $100 billion over the next four years. This brings its total investment in the United States to a staggering $165 billion, marking what the company
Quantum Computing
Amazon Web Services (AWS) has officially stepped into the quantum computing hardware space with the launch of its first quantum computing chip, Ocelot. This move places AWS alongside cloud giants Microsoft and Google, which have recently introduced their own quantum chips, Majorana and Willow, respectively. A Strategic Leap into Quantum
Quantum Computing
Microsoft has announced a major breakthrough in quantum computing with the unveiling of the Majorana 1 processor, a quantum chip that could revolutionize industrial-scale problem-solving. After 17 years of research, the company has successfully developed a new material and architecture that could pave the way for quantum computers with unprecedented
Semiconductors
EnCharge AI, a California-based startup specializing in energy-efficient AI chips, has raised $100 million in a Series B funding round. The investment, led by Tiger Global, aims to accelerate the development and commercialization of its cutting-edge in-memory computing technology. A Leap in AI Efficiency Founded in 2022, EnCharge AI has
Artificial Intelligence (AI)
Cerebras Systems and Perplexity AI have joined forces in a groundbreaking partnership aimed at disrupting traditional search engines. Their collaboration introduces Sonar, an AI-powered search model that operates at unprecedented speeds, marking a significant step toward AI-first search experiences. Redefining AI Search with Speed Sonar, Perplexity AI’s latest model,
Artificial Intelligence (AI)
OpenAI is moving forward with its plan to develop an in-house AI chip, with production expected to begin next year. The company is finalizing its chip design and plans to send it to Taiwan Semiconductor Manufacturing Co. (TSMC) for fabrication in the coming months. Why OpenAI Is Building Its Own
Artificial Intelligence (AI)
Meta CEO Mark Zuckerberg has announced ambitious plans for the company’s artificial intelligence (AI) infrastructure. In a recent Threads post, Zuckerberg revealed that Meta is ramping up its investments to compete in the AI space, with plans to allocate $60 billion to $80 billion in capital expenditures (CapEx) by