Tag · nvidia
Stories tagged nvidia from The ColdAI Times.
28 stories
Announced at Oracle AI World on 27 October, the deal makes Oracle the first hyperscale cloud outside Google to offer TPUs, even as investors question how it will fund its data-centre buildout.
Elon Musk says the Apollo-led financing for Nvidia chips is done, but Bloomberg reports pricing talks were still open, and Musk argues lenders are shutting out AI infrastructure firms without other revenue.
Huawei is pairing new Ascend chips with a system architecture designed to make vast processor clusters behave like one machine.
Salesforce and Nvidia are betting that domain-specific reasoning, synthetic training data, and private deployment can move business agents beyond generic chatbots.
A reported 2029 server could push Apple beyond devices while pairing its chips with Nvidia’s networking stack for enterprise AI.
CUDA-Q Logical gives researchers a common way to compare codes, hardware and control systems—moving quantum scale-up toward an orchestration problem.
Cisco’s new Splunk AI infrastructure moves agentic analytics closer to sensitive data, turning deployment control and cost visibility into competitive weapons.
Google, NVIDIA and Emerald AI are organizing utilities and labs around flexible computing, testing whether power demand can become an AI advantage.
The server maker’s new Texas hub shows how AI infrastructure is shifting from factory concentration toward regional capacity, resilience, and political access.
Jensen Huang says AI safety is an engineering problem, not a legal one, sharpening the industry’s split over who should control frontier systems.
Google, Nvidia and Emerald AI are backing flexible-power data centers, shifting AI’s energy debate from expansion alone to grid coordination.
A planned Tokyo deployment gives South Korea’s Rebellions a commercial test for cheaper, sovereign inference beyond Nvidia’s dominant GPU stack.
NVIDIA’s open-source CUDA-Q Logical platform targets the software bottleneck between experimental qubits and fault-tolerant machines, but utility remains unproven.
Google, Nvidia and Emerald AI are organizing flexible-load data centers as a way to expand AI capacity without treating the power grid as an unlimited resource.
Hyundai is betting that millions of vehicles, not just better models, will decide the next phase of autonomous driving competition.
Google, Nvidia and Emerald AI are forming a coalition to make AI data centers adjust power use in real time as electricity constraints intensify.
Google, Nvidia and Emerald AI are backing flexible power use as a way to expand AI infrastructure without making electricity grids absorb every peak.
Cisco and Splunk are moving AI security agents closer to production, pairing on-premises infrastructure with spending controls and human oversight.
The startup is moving beyond faster links, putting programmable compute inside AI fabrics to reduce accelerator idle time and loosen Nvidia’s grip.
Meta plans to deploy its MTIA 450 accelerator in 2027, turning custom inference silicon into a larger challenge to Nvidia’s data-center dominance.
A new benchmark lets rival quantum machines be compared on useful computational work, exposing progress while underscoring the industry’s vast remaining gap.
Google, Nvidia and Emerald AI are backing software that can throttle noncritical computing, aiming to expand AI capacity without worsening grid stress.
Cisco’s new AI POD for Splunk turns data sovereignty, cost control, and agent oversight into a single enterprise infrastructure bet.
Koa turns Salesforce’s accumulated CRM data into a domain-specific reasoning model, testing whether enterprise AI will favor tailored systems over general-purpose giants.
The networking startup wants to turn the data-center fabric from a passive connection layer into programmable compute, challenging Nvidia’s infrastructure advantage.
Cisco and NVIDIA are moving Splunk’s AI tools into private and air-gapped environments while adding live controls for agent behavior and spending.
Nvidia, Emerald AI and major energy companies are advancing data centers that can modulate electricity use, easing a central constraint on AI expansion.
Quantum computing stocks surge as Nvidia unveils AI integration tools while researchers demonstrate new approaches to stability and chaos prediction.