GraphPipe
oracle.github.io/graphpipeGraphPipe provides a protocol and software for deploying machine learning models separately from their frameworks.
Looking for something like FedML? Here are 20 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 1 are free or have a free plan and 19 are open source.
FedML supports distributed model training, model serving, and federated learning, with a scheduler for AI jobs across cloud and local clusters.
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | GraphPipe | — | Not stated | Web |
| 2 | Kserve | — | Yes | — |
| 3 | KFServing | — | Yes | — |
| 4 | PowerInfer | — | Yes | — |
| 5 | Triton Inference Server | — | Yes | — |
| 6 | Jina | — | Yes | — |
| 7 | Aphrodite Engine | — | Yes | — |
| 8 | Shimmy | — | Yes | — |
| 9 | bitsandbytes | — | Yes | — |
| 10 | libonnx | — | Yes | Linux |
GraphPipe provides a protocol and software for deploying machine learning models separately from their frameworks.
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.
PowerInfer supports serving large language models for local deployment and inference.
NVIDIA Triton Inference Server provides an inference solution for deploying models in cloud and edge environments.
Jina Serve helps developers build multimodal AI applications with cloud-native tools.
Sonar provides large-scale inference for language models through the project hosted in this repository.
A Rust inference engine for GGUF models, Shimmy uses WebGPU and supports the OpenAI API.
bitsandbytes enables large language models in PyTorch using k-bit quantization.
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.
GPUStack manages GPU clusters for serving AI models and provides on demand GPU instances accessible through SSH.
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.
Run image model inference with FLUX through the official repository from Black Forest Labs.
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.
BitNet provides an inference framework for one-bit large language models.
NobodyWho runs language models locally through an inference engine designed for efficient operation across devices.
CTranslate2 provides a C++ and Python inference engine for transformer models.
Alternatives are suggested from the purpose and features described in our listings. Different pages for the same product appear once. Read each description to check whether it fits your task. How we choose alternatives · Suggest an alternative