
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.
AI cuts design time 70%, software architecture separates winners from losers, and subsidy rollbacks mask an unstoppable electric shift. Legacy automakers face the challenges of adapting in 2026.
By delivering AI performance with one-sixth the hardware footprint, PEAK:AiO is redefining software-defined storage to make scalable AI infrastructure more affordable, efficient, and open.
RackRenew remanufactures OCP compliant-infrastructure into certified, warranty-backed assemblies—standardized, tested, and ready to deploy for faster capacity without bespoke engineering.
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.