Accelerated Computing stories
European firms are gaining more locally controlled AI capacity, as the Oslo site is set to house 5 MW of liquid-cooled compute under regional jurisdiction.
Researchers and startups could gain easier access to AI tools, training and European computing power as the Commission teams up with Nvidia.
Adobe and NVIDIA are expanding their partnership to accelerate AI processing in creative software, cloud media workflows and customer engagement.
The new venture aims to speed up AI infrastructure builds by factory-testing modular systems before they are shipped to customer sites.
The chipmaker's technology is now embedded across robotaxi development, underscoring its role in a market Nvidia says could hit USD $400 billion by 2035.
Enterprises could cut AI latency and simplify compliance as the new service places inference closer to data, apps and users.
Enterprises will be able to place AI inference nearer to users and data, while Equinix tackles the networking sprawl across clouds and sites.
Enterprise security teams could see faster breach detection and response as CrowdStrike's new AI models are trained on live threat data.
Rising demand for validated AI infrastructure is driving Cisco and NVIDIA to add rack-scale support for larger enterprise deployments.
AI infrastructure spending is now expected to push worldwide data centre capital expenditure above USD $3 trillion by 2030.
The shift could help AI data centre operators add denser racks without rebuilding sites, as NVIDIA moves to cut power-conversion losses.
Growing AI demand is exposing a connectivity bottleneck, as Zayo and Nvidia add more than 8,000 miles of fibre across US corridors.
The deal targets demand for governed, self-service AI environments as operators seek to turn GB200 hardware into usable services.
The tie-up is aimed at helping cloud providers cut inference costs and improve GPU efficiency as AI demand shifts beyond model training.
The deal underpins Speedata's bid to cut server counts and costs in data-preparation and ETL workloads as analytics chips get more specialised.
The milestone underscores surging demand for liquid-cooled AI data centre operations as Salute builds its customer base in under a year.
Enterprises can better share costly GPUs for AI workloads after Rafay gained NVIDIA-Certified Hypervisors status for its VM service.
The tie-up could unlock more than USD $500 billion to fund scarce AI compute capacity for cloud providers, labs and enterprises.
Smaller colleges could gain shared AI computing and training under a new NSF-backed programme that NVIDIA says will widen access nationwide.
The new Seoul lab deepens South Korea's push to build AI talent and infrastructure as global demand for compute and chips surges.