Category: LLM
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DeepSeek Harness (DSH) was officially released on 2026-08-13. Two revolutionary features offered by DSH set it apart from other harnesses such as Claude Code, Codex or OpenCode: extensive customization and agent observability. Follow me through this article to set up DSH on Kubernetes with vLLM-Ascend as the model provider running…
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+ Agentic workflows, Ascend NPU, CANN, DeepSeek Harness, Git, Harness Engineering, Kubernetes, LLM, Model Deployment and Inferencing, Observability, Python, vLLM, vLLM-Ascend+
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Ray is an open source framework for scaling Python applications through distributed computing. The framework focuses on scaling AI/ML training and inference pipelines horizontally through distributed resource allocation and execution, though it can be used in other Python projects as well. Since October 2025, Ray joined the PyTorch Foundation alongside leading open source…
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vLLM is a model serving runtime supporting the most popular families of large language models (LLMs) such as DeepSeek and Llama. It exposes an OpenAI-compatible server implementing common OpenAI REST API endpoints such as the Chat, Completions and Responses API for text generation and inference, allowing existing clients and tools leveraging the OpenAI API to be…