https://docs.aws.amazon.com/de_de/sagemaker-unified-studio/latest/userguide/sagemaker-deploy-models.html
Use inference endpoints to deploy models - Amazon SageMaker Unified Studio
Learn how to deploy models to be available for inference in Amazon SageMaker Unified Studio.
inference endpointsamazon sagemakerusedeploymodels
https://endpoints.huggingface.co/new?repository=stable-diffusion-v1-5%2Fstable-diffusion-v1-5&vendor=aws®ion=us-east&accelerator=gpu&instance_id=aws-us-east-1-nvidia-t4-x1&task=text-to-image&no_suggested_compute=true
Deploy stable-diffusion-v1-5/stable-diffusion-v1-5 | Inference Endpoints by Hugging Face
Deploy stable-diffusion-v1-5 for text-to-image inference in 1 click.
stable diffusioninference endpointsdeployhuggingface
https://endpoints.huggingface.co/new?repository=meta-llama%2FMeta-Llama-3-70B&vendor=aws®ion=us-east&accelerator=gpu&instance_id=aws-us-east-1-nvidia-a100-x4&task=text-generation&no_suggested_compute=true
Deploy meta-llama/Meta-Llama-3-70B | Inference Endpoints by Hugging Face
Deploy Meta-Llama-3-70B for text-generation inference in 1 click.
meta llamainference endpointsdeployhuggingface
https://www.together.ai/customers/arcee-ai
From AWS to Together Dedicated Endpoints: Arcee AI's journey to greater inference flexibility
Arcee AI shifted its infrastructure from AWS to Together Dedicated Endpoints, slashing TTFT by 95%, hitting 41+ QPS throughput, and removing GPU overhead.
https://endpoints.huggingface.co/catalog
Inference Catalog | Inference Endpoints by Hugging Face
Deploy popular AI models in 1 click.
inferencecatalogendpointshuggingface
https://docs.cloud.google.com/vertex-ai/docs/predictions/private-service-connect
Use dedicated private endpoints based on Private Service Connect for online inference | Vertex AI |...
Learn about using Private Service Connect endpoints for online inference.