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@goutham-annem started using tool vLLM , 4 hours, 4 minutes ago.
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@goutham-annem started using tool Kubernetes , 4 hours, 4 minutes ago.
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@goutham-annem started using tool Istio , 4 hours, 4 minutes ago.
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@goutham-annem started using tool GPT-5.3-Codex , 4 hours, 4 minutes ago.
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@goutham-annem started using tool Google Kubernetes Engine (GKE) , 4 hours, 4 minutes ago.
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@goutham-annem started using tool Claude Code , 4 hours, 4 minutes ago.
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@goutham-annem started using tool Azure Kubernetes Service (AKS) , 4 hours, 4 minutes ago.
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@goutham-annem started using tool AWS EKS , 4 hours, 4 minutes ago.
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@goutham-annem started using tool Amazon Web Services , 4 hours, 4 minutes ago.
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@goutham-annem started using tool Amazon ECS , 4 hours, 4 minutes ago.
Ollama is an open source tool for running large language models locally on your own machine. It packages model weights, configuration, and a runtime into a single binary with a simple CLI, letting developers pull and run models like Llama, Mistral, or Qwen with one command (`ollama run <model>`). It exposes an HTTP API compatible with parts of the OpenAI spec, which makes it easy to swap into existing tooling. Ollama is one of the most popular entry points for local LLM inference, particularly on macOS and Linux developer machines.