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2 dépôts

Awesome GitHub RepositoriesInference Optimization

Techniques and strategies for maximizing throughput and reducing latency in model serving environments.

Distinguishing note: Focuses on serving-level performance rather than model architecture.

Explore 2 awesome GitHub repositories matching devops & infrastructure · Inference Optimization. Refine with filters or upvote what's useful.

Awesome Inference Optimization GitHub Repositories

Trouvez les meilleurs dépôts grâce à l'IA.Nous recherchons les dépôts les plus pertinents grâce à l'IA.
  • sgl-project/sglangAvatar de sgl-project

    sgl-project/sglang

    29,079Voir sur GitHub↗

    Sglang is a high-performance inference engine and serving system designed for large language and multimodal models. It provides a programmable interface for orchestrating complex generation workflows, enabling developers to coordinate multi-turn dialogues, tool invocations, and reasoning chains through a domain-specific language. The platform is built to support production-scale deployments, offering an OpenAI-compatible API that allows for integration with existing application ecosystems. The system distinguishes itself through a disaggregated architecture that separates compute-intensive pr

    Maximizes token generation rates using data-parallel attention and tensor parallelism.

    Pythonattentionblackwellcuda
    Voir sur GitHub↗29,079
  • fishaudio/fish-speechAvatar de fishaudio

    fishaudio/fish-speech

    24,928Voir sur GitHub↗

    This project is a generative speech synthesis engine that converts text into high-fidelity human speech. It utilizes a two-stage autoregressive transformer architecture that separates semantic token prediction from acoustic detail reconstruction to balance linguistic accuracy with audio quality. The system is designed to support multilingual output and conversational AI development, enabling the generation of context-aware speech that maintains flow across multiple dialogue turns. The platform distinguishes itself through a production-ready inference server that employs continuous batching to

    Implements continuous batching to maximize hardware utilization and reduce latency in production.

    Pythonllamatransformertts
    Voir sur GitHub↗24,928
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