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How AI Infrastructure Is Reshaping Optical Networking

How AI Infrastructure Is Reshaping Optical Networking
AI clusters require dramatically more optical interconnect per unit of compute than previous data center generations, pulling transceiver speeds from 800G toward 1.6T and driving early adoption of co-packaged optics. TeckNexus examines the technology shift, why AI workloads consume so many more optical ports, and the electro-absorption laser supply constraint that has become a genuine lead-time risk for AI infrastructure buildouts.

AI Data Center Networking: Scale-Up vs Scale-Out Architecture

AI Data Center Networking: Scale-Up vs Scale-Out Explained
AI training and inference clusters are built from two architecturally distinct interconnect layers: scale-up, tightly coupling accelerators within a server or rack via technologies like NVLink and NVSwitch, and scale-out, connecting racks together via InfiniBand or RDMA-enabled Ethernet. This guide explains how each layer works, why modern AI clusters combine both, and the ongoing Ethernet-versus-InfiniBand debate at the scale-out layer.

The Capital Behind the Compute: Digital Infrastructure Insights, August 2026

The Capital Behind the Compute: Digital Infrastructure Insights, August 2026
August 2026's roundup: Nvidia forms $500B+ AI compute financing platforms with the world's largest asset managers, SK Telecom's SK Hyper data centre unit and Microsoft's new Hyderabad hyperscale region both go live, the custom silicon race widens to include OpenAI's own inference chip and a reported $12.9B Nvidia bid for Hugging Face, and SpaceX's infrastructure ambitions extend from a $16.8B Texas fab to orbital data centers.

Inside SK Telecom’s AI Data Centre Architecture

AI Data Centre Architecture: CXL, AI Servers, and Cooling
SK Telecom's SK Hyper AI data centre unit, targeting 5 gigawatts of capacity by 2029 and 15 gigawatts by 2035, comes with unusually specific technical architecture detail: a multi-silicon compute platform pairing Arm's AGI CPU with Rebellions' AI inference accelerator, a CXL-based memory pooling architecture built with Panmnesia, and named power and cooling partners in Supermicro and Schneider Electric. TeckNexus examines what each layer reveals, and why this level of disclosed detail is a rare and useful reference point for anyone planning AI infrastructure at any scale.

Telecom and Wireless Insights, July 2026: Satellite’s Extremes and AI-RAN’s Deployment Gap

Telecom and Wireless Insights, July 2026: Satellite's Extremes and AI-RAN's Deployment Gap
July 2026's roundup: Hughes Network Systems nears bankruptcy as SpaceX files to launch 100,000 satellites, Nokia's AI-RAN commercial deployments trail Ericsson's 15+ by a full order of magnitude, the FCC finalizes a $6.3B C-band incentive package and closes AT&T's $23B EchoStar spectrum deal, and fiber capital and industrial 5G both keep expanding globally.

Chip Manufacturing Capital Hits Record Scale as SK hynix Debuts on Nasdaq: Digital Infrastructure Insights, July 2026

Chip Manufacturing Capital Hits Record Scale as SK hynix Debuts on Nasdaq: Digital Infrastructure Insights, July 2026
July 2026's roundup: TSMC raises its Arizona commitment to $265 billion, Micron commits more than $250 billion to US DRAM manufacturing through 2035, SK hynix's $26.5 billion Nasdaq listing prices and begins trading, and hyperscaler data center and interconnect infrastructure keeps expanding from Alberta to Google's dark fiber network.

AI Data Center Interconnect (DCI) Bandwidth Planner

Plan your AI cluster's scale-up and scale-out bandwidth needs before the RFP — calibrated to accelerator generation, workload mix, and training pattern.
See what scale-up and scale-out bandwidth an AI deployment actually demands — before the RFP is written, based on published accelerator interconnect generations.

You'll need: your AI deployment scale assumptions.
Produces: a DCI demand model by traffic pattern.

Agentic AI Builds Out Across the Network: AI & Automation Insights, June 2026

Agentic AI Builds Out Across the Network: AI & Automation Insights, June 2026
June 2026 showed agentic AI scaling from pilot to platform: industry-wide standards momentum, AI-RAN field trials from Nokia, Amdocs and KDDI, and fresh capital across data centers on three continents. This full roundup covers every deployment, partnership, funding round and governance move from the month, with tools to prioritise AI use cases and plan the network around them.
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Telco AI Agent Leadership Landscape - Network Equipment Vendors
Network Equipment Vendor Report
How are Amdocs, Salesforce, Comarch, Totogi, Qvantel, Oracle and other OSS/BSS vendors deploying telecom AI agents?
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How are Amdocs, Salesforce, Comarch, Totogi, Qvantel, Oracle and other OSS/BSS vendors deploying telecom AI agents?
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