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NEWS TAGGED BANDWIDTH
Wednesday 14 October 2026
AI chip competition shifts to data-center efficiency as memory, interconnect limits bite
As demand for artificial intelligence computing accelerates, the competitive focus in semiconductors is shifting beyond single-chip speed to the efficiency of entire data centers....
Wednesday 14 October 2026
Samsung, AMD validate CXL memory for AI servers
Samsung Electronics and AMD have collaborated to validate Compute Express Link (CXL) memory technology designed to expand capacity and bandwidth for AI servers, as Samsung broadens...
Wednesday 14 October 2026
Cisco expands AI networking with new chips, SONiC, cross-site deployment
As AI cluster sizes grow, networking systems face challenges beyond higher bandwidth, including power consumption, cooling, cross-site coordination, and large-scale device operations...
Wednesday 14 October 2026
Cisco, Nvidia target high-speed optical interconnects with 4x USFP density
Cisco and Nvidia announced at the 2026 OCP Global Summit that they are jointly developing an ultra-dense small form factor pluggable (USFP) optical module designed to support 400Gb/s...
Wednesday 14 October 2026
SK Hynix, Micron confront AI memory bottlenecks with HBM standardization, chip integration
AI infrastructure expansion is shifting semiconductor competition beyond individual chip performance towards memory bandwidth, data-transfer power consumption, transistor scaling,...
Tuesday 13 October 2026
Nvidia and Cisco unveil new optics design to help scale AI factories
Nvidia and Cisco have introduced a new pluggable optics form factor to expand AI infrastructure without sharply increasing power use or network complexity. For global cloud operators,...
Monday 12 October 2026
Microsoft's Maia 300 rack: 96 accelerators, HBM4, mostly liquid-cooled
Microsoft has released architecture details for Maia 300, its third-generation Azure AI accelerator. The design pairs 96 accelerators per rack with a two-tier network that links up...
Monday 12 October 2026
Microsoft to scale Maia AI chips to multi-gigawatt deployments, unveils TSMC N2P-based Maia 300
Microsoft will scale its in-house Azure Maia AI accelerators to multi-gigawatt deployments starting in 2027, making Maia the primary AI inference system for its products and services...
Monday 12 October 2026
Memory wall reshapes chip performance as large-capacity SRAM becomes a focal point in autonomous driving SoC design
DIGITIMES observed that as AI computing has hit a bottleneck from the memory wall, data storage and data movement have become extensions of the computing task, also reshaping the role...
Wednesday 7 October 2026
Huawei's NPO bet challenges CPO's path to AI scale
Huawei is backing near-packaged optics (NPO) rather than co-packaged optics (CPO) for its next-generation AI infrastructure, arguing that NPO offers a better balance of cost, manufacturability,...
Wednesday 7 October 2026
Nokia, ICEYE turn Europe's satellite autonomy push into an ownership model
Europe's push for sovereign satellite connectivity is moving beyond simply securing access to bandwidth, as Nokia and ICEYE prepare a new low Earth orbit (LEO) system that would let...
Monday 5 October 2026
DIGITIMES Insight: AI data demand surges as power and cooling become new bottlenecks
As the number of AI computing transistors integrated within a single CoWoS package rises rapidly, DIGITIMES observes that moving massive volumes of data to compute chips fast...
Friday 2 October 2026
Inside Volantis's photonic bid to break AI's memory wall after US$88 million raise
Semiconductor startup Volantis has raised US$88 million in Series A funding to develop an AI inference architecture that uses photonic interconnect technology to address memory bottlenecks...
Friday 2 October 2026
Micron eyes NVHBM profits with TSMC custom HBM push
Micron is using an externally manufactured base die in NVHBM, a custom high-bandwidth memory (HBM) product it is co-developing with Nvidia, as the company bets that customization can...
Thursday 1 October 2026
DIGITIMES Insight: AI scaling is moving from chip shrinkage to system integration
TSMC said the next phase of AI performance growth will depend less on shrinking a single chip and more on combining multiple chips, memory, and advanced packaging inside larger systems...