Infrastructure & Hardware
Infrastructure and hardware comprise the physical compute systems, specialized chips, and data center components that power artificial intelligence workloads. Truncated covers chip architectures, supply chains, energy requirements, and the hardware deployments that enable large scale computing.
Google unveils $15 billion data center investment in Malaysia
Tech Xplore — Google announced plans on Wednesday to invest $15 billion in Malaysia over the next two years to build data centers and other infrastructure as demand booms for artificial intelligence services.
Ohio already has 125 local data center moratoriums. Early results from its 21 ballot measures on AI infrastructure have determined there will be more
Fortune — The Buckeye State has become the prototype for how the country will respond to the rapid buildout of AI.
Samsung SDS breaks ground on Gumi AI Data Center in South Korea
datacenterdynamics.com — Will eventually offer 120MW
Fireworks contracts 5MW of Nvidia Blackwell Ultra capacity at Era4 data center in UK
datacenterdynamics.com — Will be hosted in Era4's Chesterfield data center
Fermi's data center lease with TensorWave misses closing deadline
datacenterdynamics.com — "Both Fermi and TensorWave remain committed to this lease," company claims
War Thunder gets DLSS 5 this month, NVIDIA claims up to 400 FPS at 4K
Water usage at AI scale
datacenterdynamics.com — Insights from a 100 MW comparative analysis
Asus ProArt P14 and P16 have landed in India to supercharge AI creativity with unlimited local AI
Hindustan Times — Asus ProArt P14 and P16 bring NVIDIA RTX Spark-powered local AI computing to India, promising creators greater AI freedom and privacy. | Technology News
SM+ launches data center in Jakarta, Indonesia
datacenterdynamics.com — Taiwanese cloud provider Konst leasing capacity at facility
Brookfield Bets £20B on AI Data Center at UK Power Station
tftc.io — Drax, Brookfield, and Radiant sign a £20B+ agreement to build a 1 GW AI data center in North Yorkshire. Energy is the scarce resource, and institutional capital just moved to lock it up.
How to Scale Diffusion Inference Across AMD RDNA 4 GPUs
ROCm Blogs — Run xDiT image and video diffusion workloads on multiple RDNA 4 GPUs with practical guidance for latency, memory, and scaling.
Dynamic LoRA on AMD Ryzen™ AI: One Base Model, Many Specialists, Switched at Runtime
AMD — Explore dynamic LoRA on AMD Ryzen™ AI to switch adapters at inference time, reduce memory overhead, and efficiently deploy specialized LLMs on AI PCs.
Faster Stable Diffusion on AMD Ryzen™ AI with TeaCache
ROCm Blogs — In this blog, you will learn how to speed up Stable Diffusion 3 and 3.5 on AMD Ryzen AI NPUs with TeaCache, without retraining.
Japan's Aisin develops new type of AI chip that cuts energy use 98%
Nikkei Asia — Toyota supplier leverages Tohoku University's expertise in efficient magnetic RAM
Keep Distributed Training Running with Automated Workload Recovery
NVIDIA Technical Blog — As distributed AI training scales, failures across hardware and software dependencies increasingly disrupt training progress, making fast, reliable recovery essential. A stalled training rank can…
Chip stocks are suffering from a ‘crisis of confidence’ — but things aren’t as gloomy as they seem
Why Billion-Dollar AI Systems Are Only As Fast As The Data Feeding Them
Envision claims to be running the world's first 800VDC data center in Ulanqab, China
datacenterdynamics.com — Firm has envisioned a high-powered future and brought it to life
From capacity, to the cost of intelligence
datacenterdynamics.com — The next shift in AI infrastructure
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