50 companies reshaping edge computing in 2025
As the edge computing sector rockets into a $500 billion market opportunity, STL Partners has unveiled its “50 Edge Computing…
Avassa
Avassa powers Snapdaq’s shift from VPN to containerized edge in IIoT
Avassa announced Snapdaq as a new customer, utilizing the Avassa Edge Platform for managing IIoT gateways in remote industrial environments. …
Webinar: Top 10 Frequently Asked Questions to the Avassa Engineering Team
Webinar: Top 10 Frequently Asked Questions to the Avassa Engineering Team February 19th, 2025: 8 am PT/11am ET/5 pm CET|…
Pioneering the industrial edge computing frontier with Avassa
The industrial segment is undergoing a transformation, with software operations shifting from proprietary operating systems to fully containerized, Linux-based IoT…
Ekobot taps Avassa edge platform to advance AI-powered sustainable farming
Ekobot AB has partnered with Avassa to use its edge platform for secure monitoring and distribution of software to autonomous…
Avassa and Wind River team up to streamline edge application management on Linux
Avassa, a Swedish edge application management platform and Wind River, a provider of intelligent system software, have formed a strategic…
Avassa secures H&M Group as a strategic investor with new round of funding
Avassa, a Swedish edge application management platform, has secured new funding with H&M Group joining as a strategic investor along…
Wind River introduces eLxr Pro enterprise Linux distribution for cloud-to-edge deployments
Wind River, a provider of intelligent system software, launched eLxr Pro, a commercial enterprise Linux offering for cloud-to-edge deployments. eLxr…
Cloud-Out or IoT-In? either way, we meet at the edge
By Carl Moberg, CTO and co-founder Avassa In the ever-evolving landscape of IT infrastructure and application development, maintaining operational excellence and…
Ask the experts – Avassa and Databricks on closed-loop ML
Ask the Experts featuring Avassa and Databricks in a discussion around lifecycle management of containerized AI models at the edge….
