Cost / License
- Paid
- Proprietary
Platforms
- Online
Hugging Face Generative AI Services is described as '(HUGS) are optimized, zero-configuration inference microservices designed to simplify and accelerate the development of AI applications with open models. Built on open-source Hugging Face technologies such as Text Generation Inference or' and is an app in the ai tools & services category. There are eight alternatives to Hugging Face Generative AI Services for a variety of platforms, including Web-based, SaaS, Self-Hosted, Amazon Web Services and Kubernetes apps. The best Hugging Face Generative AI Services alternative is Vertex AI. It's not free, so if you're looking for a free alternative, you could try Amazon SageMaker or AWS Neuron. Other great apps like Hugging Face Generative AI Services are Amazon Bedrock, Run:ai, Valohai and NVIDIA NIM.
Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities you need...


Transform your AI infrastructure with Run:ai to accelerate development, optimize resources, and lead the race in AI innovation.




Build, train, and deploy machine learning (ML) models for any use case with fully managed infrastructure, tools, and workflows.
AWS Neuron is the software development kit (SDK) used to run deep learning and generative AI workloads on AWS Inferentia- and AWS Trainium-powered Amazon Elastic Compute Cloud (Amazon EC2) instances. It includes a compiler, runtime, training and inference libraries, and...
The Valohai platform makes machine learning in production easy. Data scientists and machine learning engineers can work together to build end-to-end machine learning pipelines that take in data, train a model, and deploy to production automatically.




NVIDIA NIM is a set of accelerated inference microservices that allow organizations to run AI models on NVIDIA GPUs anywhere.


