
Edge Field Day is an invite-only technical meeting between influencers and sponsoring enterprise IT companies, held from September 18-19 in Santa Clara, CA. Companies share their products and innovations through presentations, demos, roundtables, and more. Edge Field Day topics focus on the emerging infrastructure and application stack outside the data center and cloud.
As AI breaks the networking playbook and data centers hit the power wall, the optics industry enters a chaotic “2003 moment.” Mark Grodzinsky explores why the lessons of Wi-Fi will define the winners of the AI era.
AI demand is tightening HDD and NAND supply—and prices may follow. VAST is betting on flash reclamation and KV-cache persistence as storage starts acting more like memory.
Deterministic wireless is becoming the nervous system of AI. As robots and XR scale, “best effort” turns into business risk—and networks must deliver predictable, identity-driven, secure performance.
VMware kicked off Edge Field Day with a deep dive into their edge compute stack, featuring SD-WAN, SASE security, 5G support, flexible workload management, real-time app optimization, and zero-touch orchestration.
OnLogic showcased their innovative edge computing solutions at Edge Field Day 3. The family-run company delivers rugged, reliable industrial PCs and edge servers for challenging environments.
At Edge Field Day 3, Zededa showcased their edge orchestration platform, highlighting deployments with Chevron, Porsche, and major automotive brands. Their open-source OS, cloud control, and flexible architecture power secure, scalable edge solutions across industries.
TSecond presented Bryck and Bryck AI at Edge Field Day 3, featuring rugged, energy-efficient edge storage with AI acceleration. Bryck offers up to 1PB storage, high throughput, and ruggedness for edge environments.
Avassa showcased their cloud-based Control Tower platform at Edge Field Day, highlighting its container-first approach for edge application orchestration. They demonstrated solutions for VM-container integration, AI model deployment, and offline edge management.