Green or Fast? Learning to Balance Cold Starts and Idle Carbon in Serverless Computing | ScienceToStartup | ScienceToStartup

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References (28)

[1]

Machine learning inference serving models in serverless computing: a survey

2025Akram Aslani, Mostafa Ghobaei-Arani

[2]

Mitigating cold start problem in serverless computing using predictive pre-warming with machine learning

2024Qingmiao Hu, Hongwei Li et al.

[3]

Bridging the Sustainability Gap in Serverless through Observability and Carbon-Aware Pricing

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"LACE-RL optimizes serverless computing efficiency by balancing latency and carbon emissions using deep reinforcement learning."

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Green or Fast? Learning to Balance Cold Starts and Idle Carbon in Serverless Computing

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References (28)

Founder's Pitch

"LACE-RL optimizes serverless computing efficiency by balancing latency and carbon emissions using deep reinforcement learning."

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Green or Fast? Learning to Balance Cold Starts and Idle Carbon in Serverless Computing

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References (28)

Founder's Pitch

"LACE-RL optimizes serverless computing efficiency by balancing latency and carbon emissions using deep reinforcement learning."

Commercial Viability Breakdown

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