Direct answer

Can a typical software development team in India handle open source LLM deployment?

It depends on the team's specific experience. If the team mainly has web or mobile development background, they'll face a steep learning curve with MLOps, GPU infrastructure, neural net serving, model quantization, batch inference, and latency tuning. This learning curve often causes deployment delays, and it's common to bring in specialized help for the initial production setup when teams lack real experience with these AI/ML deployment technologies.

4 Mar 2026
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Short answer

It depends on the team's specific experience. If the team mainly has web or mobile development background, they'll face a steep learning curve with MLOps, GPU infrastructure, neural net serving, model quantization, batch inference, and latency tuning. This learning curve often causes deployment delays, and it's common to bring in specialized help for the initial production setup when teams lack real experience with these AI/ML deployment technologies.

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Can a typical software development team in India handle open source LLM deployment?

It depends on the team's specific experience. If the team mainly has web or mobile development background, they'll face a steep learning curve with MLOps, GPU infrastructure, neural net serving, model quantization, batch inference, and latency tuning. This learning curve often causes deployment delays, and it's common to bring in specialized help for the initial production setup when teams lack real experience with these AI/ML deployment technologies.

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