Fast growth and oversubscribed funding rounds reiterate value of Databricks’ approach to “data intelligence” underlying successful AI implementations Self-billed “data and AI company” Databricks on Jan. 22 announced the completion …
Shares in ASML, NVIDIA, Softbank and others take a hit following the launch of the R1 LLM which DeepSeek said it spent $6 million to train Chinese AI startup DeepSeek …
Fractile is focused on AI hardware that runs LLM inference in memory to reduce compute overhead and drive scale In December last year, then-CEO of Intel Pat Gelsinger abruptly retired …
So you want to turn you data and abstracted business logic into use cases that carry a clear ROI? And you want to do it autonomously? Well, good news because …
Model size, dataset size and compute all depend on the availability of necessary AI infrastructure In January 2020, a team of OpenAI researchers led by Jared Kaplan, who moved on …
CoreWeave receiving the latest in Dell liquid-cooled servers featuring NVIDIA’s GB200 Grace Blackwell Superchip As the AI infrastructure arms race continues, Dell Technologies has staked out a central role in …
HPE’s liquid cooling technology for AI infrastructure may have helped it secure the 10-figure deal HPE Senior Director Rupin Mohan this week on LinkedIn confirmed reports that HPE has won …
The laws of physics, economics and countries suggest edge AI inference—where your device is the far edge—just makes sense In the race to build-out distributed infrastructure for artificial intelligence (AI), …
At CES NVIDIA CEO Jensen Huang proposes a three-computer solution to the figurative three-body problem of physical AI—using a digital twin to connect and refine physical AI training and deployment …
NVIDIA CEO Jensen Huang sees agentic AI and AI-enabled robotics as a “multi-trillion dollar opportunity” LAS VEGAS—Not unexpected but, in many ways, NVIDIA pretty well stole the show at CES …
Deere CTO: “Labor is a common challenge…We believe autonomy can be part of that solution.” LAS VEGAS—The Consumer Electronics Show (CES) is a weird one. The media days in the …
An edge AI “easy button” for enterprise digital transformation In their own effort to better (and more profitably) serve enterprise customers, CSPs are going through a number of network overhauls …
BT talks monetizing edge AI, creating a global connectivity fabric and the future of conversational networks Back in June at a telecoms industry show, BT CTO Colin Bannon referred to …
As Turkcell adopts AI, initial use cases include energy savings, customer complaint forecasting and radio link failure prediction Looking back at the technological jump from 4G to 5G, marked by …
Google Cloud sees telco AI “absorption rate” as an “incredible phenomenon” Communications service providers (CSPs) are all-in on AI; makes sense given macro issues around a lack of effective network …
Telefonica: “I think one of the killer apps of network programmability can be ML” Before diving into the role of a programmable data plane in supporting telco AI applications, Telefonica …
Nokia sees gen AI enabling conversational networks in three to five years Nokia recently laid out its vision for a future network architecture that’s all about creating a network-cloud continuum …
To understand the commercial reality of cellular connectivity, in this case 5G, it’s important to understand the standardization work that set the stage for real-world deployments. So before we look …
Appledore Research sees private 5G pulling $232 billion in annual enterprise spend by 2027 There was maybe always a disconnect between what the telecoms set wanted out of private 5G …
Did Open RAN deliver on the technological and market-based promises it was meant to bring to? Tough question. And what were those initial promises again? We went back through the …
End-to-end fronthaul testing, as well as isolation testing, provide the big picture and granular data needed to drive Open RAN adoption Given one of the primary goals of Open RAN—providing …
The RIC can support quick wins but further standardization, and a more coherent approach to AI/ML integration, is needed to foster trust Back to this idea referenced in the introduction—how …
Open RAN technology is proven and operators are committed, but the lingering questions around integration costs and lifecycle management in a multi-vendor network remain A panel comprising a leading Open …
CommScope sees market opportunity, TCO, ecosystem support and convergence all making the case for in-building Open RAN Reflecting on the typical 10-year cellular generation cycle, as well as the roughly …
Demand forecasting and anomaly detection are AI capabilities that Google sees as accelerating numerous additional use cases. A very material amount of all internet traffic, around 60% to 70%, runs …
