AI Frontier Network published a paper validating interoperability between Arista EOS MLAG and Junos EVPN-VXLAN Anycast Multihoming, including Egress Link Protection.
Published
Signal category
Research & Knowledge
Quote
“I recently worked on validating interoperability between Arista EOS MLAG and Junos EVPN-VXLAN Anycast Multihoming, including Egress Link Protection.”
— shalini mukherjee|AI Frontier Network team
Company
AI Frontier Network
Where practitioners and leaders shaping enterprise AI connect and share signal
- Industry
- Technology, Information and Internet
- Location
- San Francisco, US
- Company size
- 144 employees
AI Frontier Network (AIFN) documents, connects, and accelerates the people deploying production AI inside real organizations. The network focuses on the operating layer of artificial intelligence, where systems must perform under constraints such as reliability, governance, cost, and risk. As enterprise AI shifts from experimentation to infrastructure, the frontier is increasingly defined by operational maturity. AIFN brings together engineers, founders, operators, and executive leaders responsible for making AI work in practice. Through structured perspectives, insight panels, and practitioner contributions, the network captures working knowledge from those building and running AI systems at scale. The goal is to create a clear, continuously evolving picture of how AI is actually being deployed across industries. AI Frontier Network exists to increase signal around real-world AI implementation and to map the professionals shaping this transition.
Founded 2024