Stay updated with cutting-edge hardware innovations, from quantum processors to next-generation computing devices.
Taiwan’s TSMC has quietly confirmed it has begun volume production of its 2nm (N2) process, promising double‑digit performance and efficiency gains that will underpin the next wave of AI and mobile processors.
Caterpillar has expanded its partnership with Nvidia and unveiled the Cat AI Assistant at CES 2026, a multimodal AI copilot designed to guide operators, technicians, and fleet managers across millions of connected machines.
Micron Technology plans to invest 1.5 trillion yen ($9.6 billion) in a new high-bandwidth memory plant in Hiroshima, deepening Japan’s bid to become a key hub for AI-era semiconductors.
Microsoft signed a five-year, $9.7 billion agreement with data-center operator IREN to secure Nvidia GB300 GPUs, adding up to 200 MW of liquid‑cooled AI capacity at IREN’s Texas campus by 2026.
Apple posted $102.5 billion in revenue and $1.85 EPS for fiscal Q4 2025, with iPhone and Services leading growth. Tim Cook forecast 10–12% year-over-year revenue growth for the December quarter.
Announced at GTC Washington, D.C., NVIDIA and Oracle will deliver the DOE’s ‘Solstice’ system with 100,000 Blackwell GPUs—plus a 10,000‑GPU ‘Equinox’—for a combined 2,200 exaflops of AI performance at Argonne National Laboratory.
Following its Washington, D.C. GTC keynote, Nvidia briefly crossed a $5 trillion market cap on October 29, driven by CEO Jensen Huang’s disclosure of $500 billion in AI chip orders and plans for seven new U.S. government AI supercomputers.
Qualcomm unveiled AI200 and AI250 rack-scale inference systems, marking a major push into data-center AI. Saudi-based HUMAIN plans a 200MW rollout starting in 2026.
CoreWeave signed a fresh $6.5 billion deal with OpenAI, lifting their 2025 total to $22.4 billion and underscoring a rapid buildout of AI infrastructure targeting 10 GW of capacity.
The Stargate consortium announced five new U.S. AI data center sites—advancing toward a $500B, 10 GW target and bringing planned capacity to nearly 7 GW over the next three years.
Nvidia will invest up to $100 billion in OpenAI and partner to deploy at least 10 gigawatts of AI infrastructure, with the first 1GW slated for the second half of 2026.
Apple’s iPhone 17 lineup — including the ultra‑thin iPhone Air — went on sale September 19, boosting AAPL shares as Apple reportedly asks suppliers to increase production of the base model.
Nvidia will buy a $5 billion stake in Intel and jointly build custom x86 CPUs for AI systems and new PC SoCs that integrate Nvidia RTX GPU chiplets, sending Intel shares up as much as 30%.
Apple is engaging suppliers to set up a mini pilot line in Taiwan to test foldable iPhone manufacturing, with mass production eyed for India and a potential 2026 debut.
Apple introduced the iPhone Air as its thinnest iPhone to date, pairing a 5.6mm titanium build with a 6.5-inch 120Hz display, A19 Pro silicon, and eSIM‑only connectivity starting at $999.
Cornami and DESILO have deployed a large language model using Fully Homomorphic Encryption (FHE), enabling AI to analyze sensitive data without ever decrypting it, a landmark achievement for data security.
DJI's new Mini 5 Pro packs a groundbreaking 1-inch CMOS sensor and advanced LiDAR technology into its signature sub-250g frame, setting a new benchmark for professional-quality aerial photography in a compact form.
The U.S. National Institute of Standards and Technology (NIST) has officially released the world's first standardized quantum-resistant encryption algorithms, marking a critical milestone in the race to secure data against future quantum computer attacks.
British firm Quantum Motion has successfully deployed the industry's first full-stack quantum computer built using standard silicon chip technology, a major leap towards scalable mass production.
Researchers have developed a revolutionary photonic chip that uses light instead of electricity for core AI calculations, promising up to 100 times greater energy efficiency and paving the way for more sustainable AI.
A new generation of cybersecurity solutions is leveraging Artificial Intelligence and dedicated hardware to proactively detect and neutralize cyber threats before they can cause damage, marking a major shift from reactive to predictive security.
A breakthrough in FPGA architecture by Cornell University promises to make AI systems more powerful and sustainable by significantly reducing energy consumption and boosting performance.
Engineers have developed a revolutionary computer chip that uses light instead of electricity for AI computations, achieving up to 100 times greater energy efficiency.