NWC Update
Network Computing
August 06, 2024
 
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SASE: This Time It’s Personal
Personal SASE involves putting all the key networking and security functions at the user edge where most data is created and consumed – while retaining necessary IT controls over security policy and network observability.

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TOP STORIES

The Time is Now for Network-as-a-Service (NaaS)
By Woody Sessoms, Chief Business Officer, Graphiant
Modern NaaS solutions fully disaggregate control and data planes, hosting control functions in the cloud. As a result, they benefit from practically unlimited (and inexpensive) cloud computing capacity to keep costs low, even as they maintain privacy and guaranteed performance.
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NVIDIA Shows Off the Breadth of its Accelerated Computing Platform at SIGGRAPH
By Zeus Kerravala, Founder and Principal Analyst with ZK Research
At SIGGRAPH 2024, NVIDIA highlighted the importance of accelerated computing by showcasing a range of innovations that emphasize AI, generative models, and virtual simulations.
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Exploring Telco Enterprise Fixed Wireless Access (FWA) Services
By Bob Wallace, Featured Writer
Emerging services from Verizon, T-Mobile, and AT&T let large and small businesses get more for less without waiting and paying more for fiber.
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TECH RESOURCES

WHITE PAPERS


ONLINE EVENTS
  • Radical Automation of ITSM

    As IT leaders embrace automation and AI, the applications are endless - from streamlined workflow to expedited end-user support.
Learn More
 
Campus NaaS: Remaking the Campus Network
To meet the ever-evolving connectivity and security needs posed by remote users and managed services, campus networks are adopting a Network-as-a-Service approach. Read More
Where and How Do WAN, SD-WAN, and SASE Fit In?
The decision to stay with a WAN network or move to SD-WAN or SASE ultimately depends upon your enterprise connectivity requirements, budget, staff skills, and corporate business direction. Read More
Harnessing DPUs & How DPUs are Changing Data Centers
DPUs (data processing units) are gaining favor as they are extensively used to accelerate AI and ML workloads by offloading tasks such as neural network inference and training from CPUs and GPUs. Read More

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