NVIDIA stories
Electricity is becoming the main bottleneck for AI data centres as new Nvidia partnerships aim to raise output per megawatt.
High-end RTX users can now keep sensitive work on-device as Perplexity extends its local AI agent to supported Windows PCs.
Most AI projects stall because firms lack the standards and monitoring needed to keep models trustworthy, auditable and scalable in production.
Growing alarm over AI safety has intensified after another former Google DeepMind engineer warned the technology could escape human control.
Enterprises can now extract data from unseen document types without templates, as ABBYY rolls out zero-shot capabilities in Vantage.
The open-source release could cut the time and coding needed to build quantum applications for researchers using standard PCs and GPUs.
Interrupted batch workloads can now resume where they stopped, potentially cutting wasted compute and delays for Google Cloud customers.
Banks and large enterprises in Asia-Pacific are rethinking cloud-first AI plans as costs, sovereignty and regulation favour hybrid deployments.
The buildout could give Australian startups, universities and enterprises more local AI compute as demand for training and inference rises.
The ranking bolsters its pitch that enterprises need centralised controls as AI adoption widens attack surfaces across cloud and on-premise networks.
The ranking may bolster Check Point's push to sell AI-era protections into existing firewall estates as firms scramble for visibility over tool usage.
Broadcasters and sports groups could soon verify, localise and repurpose live footage faster, as Nvidia deepens AI tools across media workflows.
Chinese AI groups gain formal sway over PyTorch's direction, as developers seek support across more chips and cloud environments.
Demand for AI data-centre networking is pushing iPronics to scale its optical switch platform after a USD $125 million Series B.
Enterprises can now monitor and govern AI systems more closely as the new release adds benchmarking, compliance reporting and GPU controls.
Enterprises get new governance, monitoring and multi-tenant controls as Red Hat targets safer, scalable AI use beyond pilot projects.
The new group could speed up connections for AI data centres by letting them cut demand when power grids are under strain.
The model is already being piloted by customers as Salesforce pushes AI deeper into CRM workflows with fewer errors and more control.
Fears are mounting that unchecked AI could unleash cyberattacks, market shocks and job losses long before any extinction event.
The fresh capital will help expand cloud operations as demand surges for faster, cheaper AI inference across mixed chip architectures.
