importantSYS.SOURCE: TechCrunch• 2026-08-19T10:00:00Z

Relativity Networks Secures $22M to Deploy Hollow-Core Fiber in Data Centers

#ai #data centers #fiber

Relativity Networks has raised $22 million to advance hollow-core fiber technology, enabling 30% faster data transmission in data centers. This innovation aims to reduce latency, allowing larger geographic expansions and optimizing network efficiency for AI compute infrastructure.

Relativity Networks deals in hollow-core fiber, a rarely deployed technology that allows data to be transmitted 30% faster than conventional fiber.

Read original article

*** END OF TRANSMISSION ***

> TESLA RECALLS 2.98 MILLION VEHICLES IN CHINA DUE TO HIDDEN DOOR HANDLE SAFETY CONCERNS > UNEXPECTED IMPLICATIONS OF KPIS IN ORGANIZATIONAL PERFORMANCE METRICS > BEN MCKENZIE CONDEMNS CRYPTOCURRENCY AS LARGEST PONZI SCHEME IN HISTORY > MIGRATING SYNOLOGY NAS TO UNIFI UNAS PRO 8 USING ROBOCOPY AND SMB MULTICHANNEL: PERFORMANCE INSIGHTS > SHODAN: A SEARCH ENGINE FOR INTERNET-CONNECTED DEVICES > DEVELOPMENT OF A LOW-LATENCY AI GAMING COMPANION FOR SKYRIM > REVERSE ENGINEERING PERIPHERALS: FIRMWARE ANALYSIS AND SECURITY EXPLOITS > EFFICIENT PARALLEL DEVELOPMENT WITH GIT WORKTREE TO AVOID CONTEXT SWITCHING > GPT-2 MODEL IMPLEMENTATION USING PURE CMAKE > DECLARATIVE WEBGPU CONFIGURATION USING S-EXPRESSIONS> TESLA RECALLS 2.98 MILLION VEHICLES IN CHINA DUE TO HIDDEN DOOR HANDLE SAFETY CONCERNS > UNEXPECTED IMPLICATIONS OF KPIS IN ORGANIZATIONAL PERFORMANCE METRICS > BEN MCKENZIE CONDEMNS CRYPTOCURRENCY AS LARGEST PONZI SCHEME IN HISTORY > MIGRATING SYNOLOGY NAS TO UNIFI UNAS PRO 8 USING ROBOCOPY AND SMB MULTICHANNEL: PERFORMANCE INSIGHTS > SHODAN: A SEARCH ENGINE FOR INTERNET-CONNECTED DEVICES > DEVELOPMENT OF A LOW-LATENCY AI GAMING COMPANION FOR SKYRIM > REVERSE ENGINEERING PERIPHERALS: FIRMWARE ANALYSIS AND SECURITY EXPLOITS > EFFICIENT PARALLEL DEVELOPMENT WITH GIT WORKTREE TO AVOID CONTEXT SWITCHING > GPT-2 MODEL IMPLEMENTATION USING PURE CMAKE > DECLARATIVE WEBGPU CONFIGURATION USING S-EXPRESSIONS