Vithal Shirodkar

The next big telco differentiator isn’t coverage—it’s compute, AI, and data sovereignty. For years, operators competed on coverage maps, call quality, and pricing. Today, the new battleground is sovereign AI infrastructure and edge computing. Bharti Airtel’s Xtelify and SK Telecom’s GPU-as-a-Service clusters are showing the way—owning the infrastructure layer enterprises will rely on for AI workloads. Why this matters: 1. Data sovereignty – Critical for regulated sectors and government workloads 2. Hyperscaler fatigue – Enterprises want cost-effective, SLA-driven alternatives 3. AI’s hunger for compute – Driving demand for GPU-rich, edge-ready infrastructure But here’s the big news: Operators don’t have to do it alone. Enter Tata Elxsi’s NEURON Box – Application in a Box. A compact, deploy-anywhere platform that brings AI and application hosting to the enterprise edge—with seamless cloud connectivity. With NEURON Box, operators can: 1. Onboard enterprise workloads faster 2. Deliver ultra-low latency services 3. Monetize AI, analytics, and automation directly at the edge The winning formula? Sovereign AI cloud + Edge-ready NEURON Boxes = A telco-led enterprise digital fabric that keeps operators at the center of transformation. #Telecom #5G #AI #EdgeComputing #DataSovereignty #Cloud #NetworkTransformation #Private5G #TelcoAI #TataElxsi #NEURON

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👏 Excited to see what Neysa is building in India. Through Velocis, their AI Acceleration Cloud, Neysa is running thousands of GPUs and processing over 100 million tokens a day. As their workloads scaled, they needed storage that could keep up with real world AI demands without adding operational headaches. After thorough production testing, they chose WEKA's NeuralMesh as their high performance data layer. Learn more about their journey here: http://spr.ly/6042hq9pm

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In this 2nd post Gurudatt Shenoy provides details about what makes the 8223 stand out and set new benchmarks. Versions for OSFP and QDD, support for multiple operating systems, etc. Enabling multiple use cases such as scale-across, DCI, Core & Peering. Read more in the blog below. https://lnkd.in/dSpG_dTn #Cisco8000 #SiliconOne #SONiC #IOSXR cc Gurudatt Shenoy, Rakesh Chopra, Satish Surapaneni, Anurag Agarwal, Krithika Moorthy

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🌐 AWS just rewrote how the cloud connects to everything. AWS announces two game-changing connectivity offerings: AWS Interconnect - last mile and AWS Interconnect - multicloud—eliminating weeks of complexity for hybrid and multicloud architectures. AWS Interconnect - last mile (Gated Preview) Connect branch offices, data centers, and remote locations to AWS in minutes, not weeks. ✅ Enter location → pick bandwidth → select region → instant connection ⚡ 1 Gbps to 100 Gbps on-demand scaling, zero downtime 🔒 MACsec encryption enabled by default 📍 Available now for US customers (Lumen partnership) AWS Interconnect - multicloud (Preview) Connect AWS to Google Cloud today, Azure later in 2026—purpose-built for multicloud strategies. 🔄 Private, secure, high-speed connections between AWS VPCs and other CSPs ⏱️ Deploy in days instead of weeks or months 🎯 Works with AWS Transit Gateway, Cloud WAN, and VPC 🏗️ Available in 5 AWS Regions Why this matters: For enterprises with hybrid infrastructure or multicloud strategies, this eliminates the DIY networking complexity that previously required months of planning and implementation. Now it's just a few clicks. Request access to last mile: https://lnkd.in/gN6VEqbH 🚀 Day 1 of re:Invent 2025 coverage — daily breakthroughs across compute, storage, database, networking, application development, analytics, and AI/ML. More coming! #AWS #Networking #HybridCloud #Multicloud #DirectConnect #CloudInfrastructure #reInvent

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Recent cloud outages show how depending on a single vendor for hardware or your entire cloud footprint creates a single point of failure that can disrupt business operations and risk significant loss. Suman Rajaraman explains how to design infrastructure with resilience in mind, ensuring continuity and reducing risk.

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Shiv Rao, Founder & CEO of Abridge, discusses why NVIDIA’s full-stack solution is critical for navigating the high-stakes world of medical inference, where latency, uptime, and accuracy are non-negotiable for patient care. Watch the conversation from NVIDIA Live: Setting the Stage ➡️ https://bit.ly/3ZJa3xC

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