Edge AI options supplier Latent AI has launched “Latent Agent,” the primary agentic edge AI platform to simplify AI mannequin deployment and administration at scale.
The platform automates optimization, deployment, and monitoring of AI fashions, addressing gaps in conventional MLOps for edge AI. It eliminates guide model-to-hardware optimization, decreasing deployment occasions from 12 weeks to hours and minimizing the necessity for specialised experience.
Key options embody a VS Code extension, adaptive mannequin structure for autonomous operations, and LatentAI recipes for optimized mannequin suggestions.
“The fast shift to edge AI has uncovered gaps in conventional MLOps, slowing innovation and scalability,” says Sek Chai, CTO and Co-founder of Latent AI. “Latent Agent eliminates the model-to-hardware guessing recreation, changing weeks-long deployment cycles and scarce experience with clever automation. It is a game-changer for enterprises racing to remain aggressive.”
The platform additionally helps numerous {hardware}, enabling “compile-once, deploy-anywhere” capabilities and environment friendly scaling throughout 1000’s of units. Security measures like mannequin encryption and watermarking guarantee enterprise-grade safety for delicate deployments.
Latent Agent goals to make edge AI accessible to builders with out requiring deep ML or {hardware} information.
Associated
agentic edge AI | AI/ML | edge AI | edge computing | Latent AI
