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Kavya

Content & growth at packet.ai. Writing about GPU infrastructure, LLM inference, and AI compute.

Joined Joined on  github website
How to Monetize Idle GPUs in 2026: A Technical Guide for Data Center Operators
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Kavya

How to Monetize Idle GPUs in 2026: A Technical Guide for Data Center Operators

#gpu #machinelearning #cloudcomputing #devops
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5 min read
packet.ai Token Factory: A Managed LLM Inference API from the Team That Cut GPU Prices by 50%+
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packet.ai Token Factory: A Managed LLM Inference API from the Team That Cut GPU Prices by 50%+

#llm #machinelearning #api #devops
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7 min read
Best GPU Cloud Providers for AI in 2026: Developer Comparison With Code
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Best GPU Cloud Providers for AI in 2026: Developer Comparison With Code

#ai #machinelearning #gpu #cloud
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10 min read
LLM Inference APIs in 2026: How to Choose Between OpenAI, Open Models, and Self-Hosted GPUs
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LLM Inference APIs in 2026: How to Choose Between OpenAI, Open Models, and Self-Hosted GPUs

#ai #machinelearning #cloudcomputing
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11 min read
Renting GPUs for AI? Start with VRAM, Not the GPU
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Kavya

Renting GPUs for AI? Start with VRAM, Not the GPU

#machinelearning #llm #gpu #cloud
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2 min read
Why memory bandwidth matters more than TFLOPS for LLM inference
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Kavya

Why memory bandwidth matters more than TFLOPS for LLM inference

#llm #gpu #nvidia #machinelearning
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3 min read
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