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edge computing
Trends
- 1Netlify says Firecracker microVMs make Edge Functions five times faster▼5x faster Edge Functions: V8 isolates to Firecracker MicroVMs
Netlify has announced that it moved its Edge Functions from V8 isolates to Firecracker microVMs, reporting a fivefold speed improvement. The company says the change gives functions stronger isolation and better performance for developers running serverless code at the edge. Readers are discussing the trade-offs between the two execution models and what the gains mean in practice.
- 2Lola Vision Systems Aims to Simplify Running AI Models on Chips●Lola Vision Systems is trying to make it easier to run AI models on chips
Lola Vision Systems is working to make it easier to run AI models directly on chips, according to a TechCrunch report. The startup's focus on chip-level AI deployment puts it in the busy semiconductor and edge-computing space, where companies are racing to reduce the complexity and cost of getting AI models to run efficiently on hardware.
- 3
ConnX has integrated Intel edge technology into its MaestroIQ platform, according to Engineering.com. The move brings Intel's edge computing capabilities into ConnX's network intelligence offering, letting customers run analytics and automation closer to where their data is generated. The announcement was shared through industry press, drawing attention from technology and networking readers.