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Cisco launches devices and software aimed at bringing AI to the edge - SiliconANGLE
Cisco launches devices and software aimed at bringing AI to the edge Cisco Systems Inc. today unveiled a broad set of new products and platform updates designed to bring artificial intelligence to the network edge and modernize how enterprises deploy and secure distributed workloads. The
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Cisco launches localised computing device to handle AI workflows
Cisco Systems launched a computing device on Monday that will run artificial intelligence workloads at local entities such as retail stores, factory floors and healthcare facilities, speeding up their AI data processing capabilities. It features an Intel chip and has seen an early adopter in
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Cisco Stock Climbs After Launching New AI Platform - Cisco Systems (NASDAQ:CSCO)
Cisco Systems, Inc (NASDAQ:CSCO) unveiled a series of artificial intelligence-driven innovations. Among the updates are the company's Cisco Unified Edge platform, expanded AI-ready network architecture, and upgraded Security Cloud Control. Together, these offerings help businesses strengthen
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New 'Cisco Unified Edge' Brings Data Center AI Processing Power To The Edge, Execs Say
'Imagine picking an AI cluster and shrinking it down so you could actually put it in every branch office or put it in every location where you needed that kind of processing. Today you bring your data to AI for processing. Tomorrow, you bring AI to your data,' one partner told CRN about the new
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Cisco Launches Unified Edge Platform for AI Workloads
Cisco Systems launched Cisco Unified Edge, an integrated computing platform designed to run artificial-intelligence workloads closer to where data is generated. The system combines computing, networking, storage and security in a single unit, enabling companies to perform AI inferencing and
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Cisco launches localized computing device to handle AI workflows
(Reuters) -Cisco Systems launched a computing device on Monday that will run artificial intelligence workloads at local entities such as retail stores, factory floors and healthcare facilities, speeding up their AI data processing capabilities. The new platform, named "Cisco Unified Edge," is an
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Cisco Systems launched its Unified Edge platform, an integrated computing system that combines networking, storage, and security to run AI workloads at local facilities like retail stores and factories. The platform aims to address infrastructure bottlenecks that have stalled over half of AI pilot projects.
Cisco Systems unveiled its ambitious Unified Edge platform at the company's annual Partner Summit, marking a significant push to bring artificial intelligence processing capabilities directly to the network edge
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. The integrated computing platform represents Cisco's strategic response to growing infrastructure bottlenecks that have reportedly stalled over half of AI pilot projects across enterprises.
Source: CRN
The Unified Edge platform combines computing, networking, storage, and security into a single modular system specifically designed for real-time AI inferencing at locations like retail stores, factory floors, and healthcare facilities
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. This approach fundamentally shifts the AI processing paradigm from centralized data centers to distributed edge locations where data is generated.The Unified Edge platform features a modular 19-inch chassis that supports both central processing units and graphics processing units, with storage capacity reaching up to 120 terabytes
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. The system includes redundant power and cooling systems, integrated 25-gigabit networking, and can be deployed in both wall-mounted and rack-mounted configurations.
Source: SiliconANGLE
Security features are embedded throughout the platform, including tamper-proof bezels, confidential computing capabilities, and zero-trust access controls
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. The confidential computing feature isolates sensitive workloads with additional security layers, addressing critical concerns about AI data protection at edge locations.The platform integrates with Cisco's Intersight management software, enabling centralized visibility and management across thousands of edge sites
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. Jeremy Foster, Cisco's senior vice president and general manager of Cisco Compute, emphasized the platform's operational simplicity, describing it as "the easiest system to operate in x86 edge computing."Cisco has secured notable partnerships for the Unified Edge platform, with Intel providing the chip technology and Verizon serving as an early adopter
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. Additional partners include Rockwell Automation, positioning the platform for industrial applications .The platform supports third-party vendors including Nutanix, VMware, and Microsoft, allowing customers to integrate existing infrastructure investments
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. This compatibility approach addresses enterprise concerns about vendor lock-in while enabling gradual migration to edge AI architectures.Related Stories
Following the announcement, Cisco's stock price climbed 1.35% to $74.12, reflecting investor confidence in the company's AI strategy . The positive market response underscores the perceived importance of edge AI infrastructure in addressing current data center capacity constraints.
Tim Coogan, Cisco's senior vice president of global partner sales, highlighted the urgency driving the platform's development: "AI is moving faster than their infrastructure can support. It is moving in a way that's making data strategies that were in place 12 or 18 months ago insufficient in today's environment"
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.Beyond the Unified Edge platform, Cisco announced comprehensive updates to its AI-ready secure network architecture, including unified cloud management capabilities and AI-driven automation tools
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. The company introduced new 8200 and 8400 Series Secure Routers and Wi-Fi 7 access points designed to handle high-bandwidth AI workloads with low latency.For managed service providers, Cisco enhanced its Security Cloud Control platform with multi-tenant capabilities, enabling centralized management of security services across multiple customers
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. These updates position Cisco as a comprehensive infrastructure provider for the AI era, addressing both technical and operational challenges facing enterprises deploying distributed AI workloads.Summarized by
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