Everything there is to find on tag: AI workloads.
Hyperscalers’ AI chip capacity is heavily underutilized
Most of the AI capacity at major cloud providers remains unused. As a result, AWS, Microsoft and Google are m...
Tag: AI workloads
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AWS promises leading AI performance with its own chips, Nvidia partnership
With the new Trainium 2 and Graviton 4, AWS is revamping its chips, while an expanded collaboration with Nvid...
Scaleway to offer affordable AI in the cloud with Ampere servers
With AI-based services in demand, their cost will have disappointed many companies. That needs to change, is ...
GPU shortage drives Fujitsu to make best use of existing hardware
Fujitsu has announced a new technology that makes optimal use of CPUs and GPUs. Processes that have high exec...
AWS offers GPU power for short AI workloads
AWS is introducing Amazon EC2 Capacity Blocks for ML. The new service gives enterprises easy access to cloud-...
Samsung aims to capitalize on AI hype with giant DDR5 modules
Samsung Electronics announced today that it has developed 32-gigabit DDR5 memory on the 12 nanometer process ...
Google launches GKE Enterprise for easier Kubernetes management
Google has unveiled GKE Enterprise, an enterprise version of the Google Kubernetes Engine. It builds on exist...
Intel reveals architecture for Xeon chips slated for 2024
Intel has unveiled details about the architecture of next year's Xeon processors for servers and workstations...
Top story
Store your AI workloads in Google Cloud’s customized cloud storage services
Google Cloud is releasing three new cloud storage services for AI workloads. Each service is designed for the...
Will IBM’s analog chip take the AI world by storm?
A team at IBM Research has developed a mixed-signal analog chip suitable for AI workloads. The project is sti...