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Dati del repository pubblico
kvcache-ai/mooncake
Mooncake is a C++ infrastructure project for large-scale LLM inference and training. It separates prefill, decode, and storage resources while providing high-performance transfer, distributed KV-cache storage, and fault-tolerant expert-parallel communication.
gpustack/gpustack
GPUStack is an open-source GPU cluster manager for serving AI models and provisioning on-demand, SSH-accessible GPU instances. It orchestrates inference engines including vLLM, SGLang, and TensorRT-LLM across on-premises, Kubernetes, and cloud environments.
giskard-ai/giskard-oss
An open-source Python library for evaluating and testing LLM-based and agentic systems, including multi-turn evaluations, LLM-as-judge checks and automated vulnerability scanning.
llm-d/llm-d
llm-d is an open-source serving stack that adds distributed orchestration, routing, cache management, autoscaling, and batch processing around model servers such as vLLM and SGLang. It targets high-scale production inference on Kubernetes and modern hardware accelerators.
langwatch/langwatch
An open-core platform for evaluating, testing, tracing, and monitoring LLM applications and AI agents before release and in production.
vllm-project/vllm-ascend
A community-maintained hardware plugin that enables vLLM to run model inference and serving workloads on supported Ascend NPUs.
bionic-gpt/bionic-gpt
Bionic is a Rust-based, on-premise alternative to ChatGPT designed for private generative AI deployments. It provides a familiar chat interface, local or remote model access, team controls, retrieval-augmented assistants, data integrations, observability, and Kubernetes-oriented scaling.
mozilla-ai/any-llm
any-llm is a Python SDK for communicating with multiple LLM providers through one interface. It supports switching providers and models with minimal code changes while using official provider SDKs when available.
future-agi/future-agi
An open-source, self-hostable platform for evaluating, tracing, simulating, protecting, routing, and optimizing LLM and AI-agent applications.
xllm-ai/xllm
xLLM is a C++ inference framework for LLM, VLM, DiT and REC models. It targets high-throughput, low-latency deployment on several AI accelerator families and separates service-layer scheduling and availability from engine-layer computation.
0xlazai/alith
A simple, composable, and high-performance AI agent framework designed for Web3 and Crypto, enabling developers to build, deploy, and manage on-chain AI agents with multi-language support and LazAI Gateway integration.
avifenesh/memra
A from-scratch LLM inference engine built in Rust and CUDA, specifically optimized for RTX 5090 (sm_120a) and H100 (sm_90a) architectures, delivering exactness-gated performance without relying on frameworks like ggml.
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