Sunday, February 25, 2024

Intel previews Xeon Granite Rapids and Sierra for telco AI acceleration

At MWC 2024, Intel unveiled its next-gen Xeon processor (code-named Granite Rapids) for vRAN applications and its its next-gen Intel processor (code-named Sierra Forest) for 5G cores. The company also introduced a modular and open software platform that enables enterprises to build, deploy, run, manage and scale edge and AI solutions on standard hardware


  • Granite Rapids-D, featuring the latest generation of P-cores, promises significant gains in performance and power efficiency utilizing improved Intel AVX for vRAN and integrated Intel vRAN Boost acceleration alongside other architectural and feature enhancements. Silicon is currently sampling. Samsung has demonstrated a first-call at their research and development lab in Suwon, South Korea. Ericsson has also demonstrated a first-call validation in the Ericsson-Intel joint lab in Santa Clara, California. Intel is also working with Dell Technologies, Hewlett Packard Enterprise (HPE), Lenovo, Red Hat, Wind River and other leading ecosystem partners to ensure market readiness. Granite Rapids-D is planned to launch in 2025, following the launch of Granite Rapids server CPUs in 2024.
  •  Sierra Forest, which will launch later this year, brings up to 288 Efficient-cores (E-cores) on a single chip. It is well-suited for 5G core workloads to advance network core performance and power savings. By utilizing Intel’s latest E-core technology, operators will recognize greater energy and cost savings, driving to a 2.7x performance per rack improvement1 and industry-leading performance per rack for 5G core workloads.

  • Intel Infrastructure Power Manager, which enables operators to take advantage of the built-in telemetry of Intel Xeon processors to reduce CPU power by an average of 30%, is gaining market traction. Casa Systems, NEC, Nokia, and Samsung are planning to deliver in 2024.

“Intel is delivering innovations for our partners and their customers across network, edge and enterprises to modernize their networks, monetize new services at the edge, and bring AI everywhere,” said Sachin Katti, senior vice president and general manager of the Network and Edge Group at Intel. “Intel’s network- and edge-optimized SOC strategy uniquely integrates general purpose compute and acceleration for networking, AI and vRAN workloads, and we are announcing market-leading next generation products for 5G core with Sierra Forest and 5G vRAN with Granite Rapids-D.”


#MWC24 Intel video: Harnessing AI for the Network Edge

 Check out complete MWC Barcelona 2024 Showcase at:

AI its the talk of MWC 2024 in Barcelona and Intel is here with a special announcement for the Network Edge. Cristina Rodriguez, VP Network & Edge Group, GM Wireless Access Network Division from Intel explains:

  • The industry is embracing a software-defined network, open virtualized network that brings flexibility, scalability, and innovation such as AI. This technology is accessible to all workloads, including the run and the core in the mobile infrastructure.
  • Intel's CPU technology underpins this software-defined architecture, capable of running AI workloads without requiring any external power-hungry components or additional hardware. The latest generation of Intel's scalable processor, codenamed Granite Rapid D, delivers significant gains in performance and power efficiency, with integrated vRAN boost acceleration and additional AI built-in acceleration.
  • Intel is working with operators to reduce the total cost of ownership and bring new value-added services that they can use to monetize their investments. The early availability of Intel's AI development kit allows operators to dynamically and intelligently reconfigure the network on the fly, saving costs, getting more out of their infrastructure, and supporting new revenue streams.

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#MWC24 video: Nvidia finds that telcos are increasing AI budgets

Check out complete MWC Barcelona 2024 Showcase at:

To get a handle on how AI is impacting the telecoms sector, check out NVIDIA's newly released survey of over 300 operators. Chris Penrose, Global Head Business Development - Telco from NVIDIA, provides some highlights:

  • He discusses the key findings from NVIDIA's second annual AI and Telecom report, highlighting the growing importance of AI in the telecom sector. 
  • Chris reveals that 56% of telecom companies believe AI is crucial for their future success, a significant increase from 42% last year. 
  • He also shares that 53% of respondents see AI as a source of competitive advantage, indicating how telecom companies are leveraging this technology to transform their operations and create new revenue streams. 
  • Critically, Chris mentions that 66% of telecom companies plan to increase their budget for AI infrastructure, showing a strong commitment to harnessing the power of AI in 2024.

Join us to learn more about the exciting trends and future of AI in the telecom industry.

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HPE launches Telco Core Automation

 HPE launched a new Telco Core Automation offering built on its OSS technology and aimed at helping service providers to simplify multi-vendor, multi-generation operations.

The aim is to leverage AI-driven automation to improve service quality and agility.

HPE says that as service providers virtualize and cloudify network functions (NFs), it becomes more challenging to manage a constantly changing, increasingly diverse set of technologies. Each technology and vendor (Kubernetes, OpenStack, OpenShift, EKS, AKS, and others) has its own approach to managing workloads. Even different release versions of the same NF or underlaying cloud introduce more complexity. 

The new HPE Telco Core Automation , which joins HPE Telco RAN Automation, offers pre-built orchestration and assurance to make rolling out and managing network functions easier. It marries intent-based automation and AI-based assurance, which were previously separate silos. 


  • NF lifecycle. Designed to support the NF lifecycle and monitor resources of any managed workload and key KPIs for each workload and the broader environment, automatically or manually trigger closed-loop actions, relocate virtualized and containerized workloads, restore/relocate workloads using event triggers, measure the workload and cluster resource usage over time.
  • Resource management. Monitoring the resources consumption and trends to identify the busiest clusters and resource-hungry NFs and perform zero-touch scale in and scale out.
  • Automatic remediation. Monitors key faults and KPIs for every workload and uses intent-based, AI/ML intelligence to detect deviations and automatically take the appropriate closed loop action.
  • Capacity planning. Provides visibility into current/past/future resource needs for each NF or cluster.

#MWC24 NTT video: Industrial Use Cases Drive AI

Check out complete MWC Barcelona 2024 Showcase at:

Global Carriers are watching AI quite closely.  What are the strongest uses cases? Parm Sandhu, VP Enterprise 5G Products & Services from NTT, shares: 

  • The increasing importance of AI in various sectors such as manufacturing, pharma, transportation, and logistics, enhancing worker efficiency, productivity, and faster product turnaround.
  • The role of AI in supply chain management, parts management, and worker training to resolve problems and reduce downtime.
  • The upcoming collaboration between NTT and Schneider, combining Schneider's ecostructure capabilities and NTT's Edge as a service infrastructure for developing AI transformation at the edge.

Join us to learn more about these real-world applications of AI and how they're shaping the future of industrial operations.

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Nokia: Trial of wireless access technology for 140GHz

 Beamforming trials were successfully conducted using Nokia's 140GHz-band radio system prototype and a 128-element phased-array antenna in Japan, confirming the effectiveness of phased-array beam steering in different directions to achieve good reception when the receiver is moving. Further trials will focus on more specific applications to confirm the practicality of sub-terahertz (sub-THz) signals in indoor environments.