Thread the Needle: Preparing for the Post-Quantum Future with FABRIC Published: July 28, 2026 The encryption that protects today’s Internet has served us well for decades. Nearly every secure online...
Thread the Needle: Bringing an Open-Source 5G Core to the FABRIC Community Published: July 23, 2026 As cellular networks become increasingly software-driven, researchers need accessible platforms for experimenting with next-generation mobile networking...
Announcing the Winners of the FABRIC “Stitching Together Innovation” Awards at KNIT12 Published: June 1, 2026 The FABRIC team is excited to announce the winners of the FABRIC Stitching Together Innovation Awards,...
Teaching Networks to Think: AI-Driven Traffic Engineering on FABRIC Published: April 22, 2026 When large-scale science moves across networks, it is rarely a simple point-A-to-point-B journey. High-energy physics datasets,...
FABRIC Tips & Tricks: Debugging Smarter with CREASE Published: April 20, 2026 On a research testbed as powerful and flexible as FABRIC, experimentation and iteration are the norm....
Networking for the Future: Five Ways ESnet Accelerates the Nation’s Science Published: April 8, 2025 The below article syndicated from FABRIC core team member ESNet outlines multiple ways the project accelerates...
Bridging IPv6 and IPv4: How NAT64 Powers FABRIC Experiments Published: February 11, 2026 FABRIC is an IPv6-first research infrastructure, designed to support large-scale experimentation. Because many external services still...
Rafael Coelho Lopes de Sá Joins FABRIC Ambassadors Published February 9, 2026 The FABRIC team is pleased to announce Dr. Rafael Coelho Lopes de Sá as a new...
Making the Network Part of the Experiment: FABRIC’s integration with Chameleon’s GPUs Published January 20, 2026 The FABRIC’s integration with Chameleon GPUs is now available, giving researchers a powerful new way to...
Thread the Needle Blog: Accelerating Scientific Data Movement with EJFAT A new data transport system is using FABRIC to test high-speed, in-network processing for data-intensive science workflows. Modern scientific instruments...