Deploy generative and predictive AI models on Kubernetes with KServe’s distributed inference platform.
Open source
21 alternativesShimmy
vsFedML
Shimmy vs FedML
How do Shimmy and FedML compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Shimmy | FedML |
|---|---|---|
| What it is | A Rust inference engine for GGUF models, Shimmy uses WebGPU and supports the OpenAI API. | FedML supports distributed model training, model serving, and federated learning, with a scheduler for AI jobs across cloud and local clusters. |
| Website | ||
| Type | Open-source project | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Not recorded | Not recorded |
| Open source | Yes | Yes |
| Language | English | English |
| Alternatives |
Other options to consider
Sites similar to both Shimmy and FedML.
NVIDIA Triton Inference Server provides an inference solution for deploying models in cloud and edge environments.
Open source
23 alternatives
KServe provides distributed inference for generative and predictive AI models on Kubernetes.
Open source
21 alternatives
Sonar provides large-scale inference for language models through the project hosted in this repository.
Open source
23 alternatives
GraphPipe provides a protocol and software for deploying machine learning models separately from their frameworks.
Jina Serve helps developers build multimodal AI applications with cloud-native tools.
Open source
21 alternatives