PowerInfer supports serving large language models for local deployment and inference.
Open source
23 alternativesHow do OpenLLM and FedML compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | OpenLLM | FedML |
|---|---|---|
| What it is | OpenLLM runs open-source language models as cloud API endpoints compatible with OpenAI clients. | 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 |
Sites similar to both OpenLLM and FedML.
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.
GPUStack manages GPU clusters for serving AI models and provides on demand GPU instances accessible through SSH.
bitsandbytes enables large language models in PyTorch using k-bit quantization.
Sonar provides large-scale inference for language models through the project hosted in this repository.