The Best CTranslate2 Alternatives in 2026

LLMKube runs self hosted LLM inference across heterogeneous GPU fleets using Kubernetes and several model runtimes.

ANEE wraps pretrained transformer inference with an energy budget and early exits inside model execution.

NobodyWho runs language models locally through an inference engine designed for efficient operation across devices.

NVIDIA Triton Inference Server provides an inference solution for deploying models in cloud and edge environments.

Sonar provides large-scale inference for language models through the project hosted in this repository.

PrivateGPT provides an API layer for local model based AI applications, including RAG, tools, MCP, and text to SQL.

OpenLLM runs open-source language models as cloud API endpoints compatible with OpenAI clients.

GPUStack manages GPU clusters for serving AI models and provides on demand GPU instances accessible through SSH.

Jina Serve helps developers build multimodal AI applications with cloud-native tools.

For Apple Silicon, Rapid-MLX offers an open-source LLM inference server and Mac app compatible with OpenAI and Anthropic APIs.

Run image model inference with FLUX through the official repository from Black Forest Labs.

A Rust inference engine for GGUF models, Shimmy uses WebGPU and supports the OpenAI API.

BitNet provides an inference framework for one-bit large language models.

PowerInfer supports serving large language models for local deployment and inference.

Deploy generative and predictive AI models on Kubernetes with KServe’s distributed inference platform.

KServe provides distributed inference for generative and predictive AI models on Kubernetes.

A lightweight, portable pure C99 onnx inference engine for embedded devices with hardware acceleration support.

MindSpore provides a deep learning framework for training and inference across mobile, edge, and cloud scenarios.

FedML supports distributed model training, model serving, and federated learning, with a scheduler for AI jobs across cloud and local clusters.

bitsandbytes enables large language models in PyTorch using k-bit quantization.

This Kimi API guide explains model inference billing, including token charges and cache discounts.