NVIDIA stories
Early cloud deployments and benchmark gains signal NVIDIA's latest rack-scale AI platform is moving into commercial use as data centres chase efficiency.
Early adopters say the switch could help giant AI clusters avoid bottlenecks as network performance becomes critical to training and inference.
Newsrooms, designers and robotics teams are set to gain new AI tools as NVIDIA expands detection, agent and edge software at SIGGRAPH.
Agentic AI systems are driving a shift to continuous post-training, which NVIDIA says will shape future demand for its Vera Rubin platform.
A jump in oil and a sell-off in US tech stocks left Bitcoin near USD $64,000, as on-chain data pointed to tight supply.
Demand for regional AI compute is tightening as Sharon AI's New Zealand contract lifts its contracted capacity to 116MW and revenue starts in 2027.
Developers building robots and edge AI systems get cheaper, lower-power options as Nvidia widens its Thor-based Jetson range for local inference.
Sensitive data can now be processed on standard GPU clusters without leaving customer control, as Prem's Enclave targets regulated sectors.
Labour shortages and an ageing workforce are pushing Japanese manufacturers to test AI-controlled robots in factories, logistics and hospitals.
Enterprises can now deploy an autonomous coding agent that Cast AI says cuts token bills and tightens governance for developers.
The tie-up gives enterprises a layered way to secure AI systems without sacrificing performance, as demand for larger workloads grows.
The ranking underscores rising demand for observability tools as AI workloads add strain to increasingly complex production systems.
ServiceNow customers now have a limited first year to decide how to deploy its AI oversight tools before broader access expires.
Energy and cooling limits are becoming the real bottleneck for AI operators, as NVIDIA says Blackwell racks can lift output within fixed power budgets.
Enterprises can now run the coding agent with tighter spending caps, data sovereignty controls and production support to curb AI development costs.
Healthcare, legal and search firms are cutting AI costs and keeping data in-house by tuning Nvidia's open Nemotron models for niche tasks.
Enterprises could see better GPU use as the partnership aims to cut data delays that slow AI training, inference and analytics.
Engineering teams could cut AI coding bills by more than USD $1.46 million a year as Featherless offers GLM 5.2 on fixed-fee private cloud.
The cyber security start-up is building out its management team as it seeks to turn fresh interest in AI-era DLP into larger enterprise sales.
Manufacturers and transport firms will be able to test AI systems in Bengaluru before deployment, cutting risk in live industrial operations.
