PowerInfer supports serving large language models for local deployment and inference.
Open source
23 alternativesHow do FedML and ANEE compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | FedML | ANEE |
|---|---|---|
| What it is | FedML supports distributed model training, model serving, and federated learning, with a scheduler for AI jobs across cloud and local clusters. | ANEE wraps pretrained transformer inference with an energy budget and early exits inside model execution. |
| 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 FedML and ANEE.
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.
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.
Jina Serve helps developers build multimodal AI applications with cloud-native tools.
Deploy generative and predictive AI models on Kubernetes with KServe’s distributed inference platform.