- Ericsson, Supermicro advance connectivity for edge AI
Ericsson and Supermicro team up – The two firms plan to offer integrated 5G and edge AI systems to help enterprises deploy AI at the network edge faster and more easily Retail, healthcare and manufacturing – The bundles are aimed at use cases requiring low-latency local processing, such as image recognition and sensor data analysis
- AI in telecom – AI shrink-ray finds its telco edge
The rise of smaller, cheaper AI models is pushing AI closer to the edge, but telcos must weigh placement and ROI carefully amid escalating infrastructure investments
- Qualcomm, Aramco Digital focus on edge AI for industrial IoT
The agreement between Qualcomm and Aramco Digital was formalized during the Saudi-US Investment Forum in Riyadh In sum – what you need to know: Qualcomm and Aramco Digital join forces on industrial edge AI – The pair will co-develop AI-powered industrial IoT solutions using Qualcomm’s hardware and Aramco Digital’s 450 MHz 5G network Edge AI to power Saudi industrial use cases – The
- MPLS PE The Provider Edge - RCR Wireless News
The MPLS PE (Provider Edge) router or network element plays a key role in MPLS infrastructure The PE router is both the interface between the customer-facing network and the MPLS core, and the point where customer data is given an MPLS label and or the label is removed
- Enterprise exchanges: The future of IXPs (Reader Forum)
Internet exchange points, or IXPs, are evolving to meet enterprise demands for AI, edge compute and security Internet exchange Points (IXPs) have adapted to meet today’s enterprise needs, evolving into some of the world’s most secure, sustainable and high-performing connectivity providers Handling the regional exchange of internet traffic between different networks, they traditionally
- AI in the RAN (AI RAN) vs AI on the RAN – different concepts, different . . .
It enables live network traffic prediction, dynamic resource allocation, and predictive maintenance, while also optimizing handovers, slices, and quality of service It drives cost efficiency through automation, optimized network deployment, and energy savings, and is crucial for enabling advanced use cases like edge computing and network slicing
- Vodafone turns on LTE-M in the UK, claims a full house of IoT tech
NB-IoT and LTE-M support “typical download upload speeds” of 20 kbps and 300 kbps, respectively 4G and 5G technologies are geared for higher-throughput IoT use cases, requiring lower latency and continuous connectivity – “to analyse data in real-time when combined with edge computing, and transfer larger data sets,” said Vodafone
- NVIDIA AI, private 5G plus MEC: Verizons enterprise pitch
The jointly developed solution combines a 5G private network with private MEC and NVIDIA AI Enterprise software Verizon is putting a new proposition in front of enterprise customers: a combination of its 5G private network connectivity, plus private Mobile Edge Compute and the NVIDIA AI Enterprise software platform and microservices
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