CPU requirements for AI workloads are multiplying, driving intensifying shortages and price hikes — Intel already shifting production from consumer chips to Xeon as inference workloads
Qualcomm announced that it will release new AI accelerator chips. Nvidia has dominated the market for AI chips, with AMD seen as the second
The AMD Helios servers will have 72 of AMD''s MI400 series chips, making them comparable to Nvidia''s current NVL72 servers, AMD executives said. During its keynote
Foxconn building Mexico plant for assembling Nvidia product Foxconn riding high on demand for AI servers Foxconn chairman sees strong Q4 outlook
But the company has made a concerted effort to improve its software and produce a line of chips that rival Nvidia''s performance. AMD completed the acquisition of server builder ZT Systems
Apple''s chip factory planned for Houston, Texas will manufacture AI servers that are equipped with high-end M5 chips, Apple analyst Ming-Chi Kuo
AI in Hardware: How New Chips, GPUs, and Edge Computing Are Redefining Artificial Intelligence Performance in 2026 For years, artificial intelligence infrastructure had a clear
Counterpoint warns that DDR5 RDIMM costs may surge 100% amid manufacturers'' pivot to AI chips and Nvidia''s memory-intensive AI server
AI/ML demands are reshaping servers. Explore how CPUs, GPUs, FPGAs and AI accelerators drive performance for workloads like deep learning
TrendForce says demand for general-purpose servers remains steady, however, lead times for some of these key components are stretching to nearly a year. Now, says the analyst, lead
AWS has been building its own AI chips — and systems — for years now. It just released its third version, known as Trainium3, with some impressive
IT Minister Ashwini Vaishnaw inaugurated ARM''s new Bengaluru office to design advanced 2nm chips for AI servers, drones and smartphones,
The AI infrastructure boom has entered a full-scale arms race in 2026, with US cloud giants dramatically ramping up capex. Taiwanese
Is Thailand-based OBON Corp really ''Company-1'', and were Nvidia chips sent to Alibaba? A new report says the US suspects AI servers with Nvidia chips were routed through Southeast Asia
This chip is expected to play a significant role in shaping the company''s artificial intelligence (AI) strategy. Sources familiar with the matter
Dell, HPE, Lenovo, and Supermicro are riding record AI server demand, but winning enterprise customers requires more than just Nvidia chips.
In 2025, the backbone of artificial intelligence (AI) servers is formed by a dynamic and competitive array of advanced processors designed to handle the
AMD (NASDAQ: AMD) is set to launch its MI400-series AI accelerators in 2H 2026. Analysts expect the rollout to drive significant growth, with data-center revenue projected to surge 73%, fueled by strong
Per Ming-Chi Kuo, Apple appears set to start mass-producing its new in-house AI server chips as soon as this year.
AI chip statistics for 2026: NVIDIA, AMD, Broadcom and TSMC quarterly revenue figures, hyperscaler capex, HBM supply, and CHIPS Act funding.
Hardware AI smuggling exports A Supermicro co-founder is accused of smuggling $2.5B in AI servers to China The AI chip trade is proving harder to police than policymakers expected By
AI chips are also classified by their hardware architecture, with each type serving distinct roles across various deployment environments—from centralized cloud
China''s AI accelerator server market is gradually shifting away from using Nvidia chips to domestic GPU and AI chip makers, with Chinese companies capturing almost 41% of the market last
Over the next several years proliferation of custom CPUs based on the Arm ISA inside AI servers will increase to 90%, leaving x86 and Arm around 10%, according to Counterpoint Research.
Counterpoint Research says the race to build custom AI silicon is accelerating, with hyperscalers scaling internal chips to meet surging demand. Hyperscalers Ramp Custom AI Chips Leading cloud and
Qualcomm said both chips can be deployed in full, liquid-cooled server racks capable of supporting large-scale AI workload s. Targeting an
Detailing and benchmarking hardware architectures for current market players and emerging AI chips for server CPUs, custom AI ASICs, and other AI chips,
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