📄️ Llama-3-8B with vLLM on Inferentia2
Serving Meta-Llama-3-8B-Instruct model on AWS Inferentia2 using Ray and vLLM for optimized inference performance.
📄️ Mistral-7B on Inferentia2
Deployment of ML models on EKS requires access to GPUs or Neuron instances. If your deployment isn't working, it’s often due to missing access to these resources. Also, some deployment patterns rely on Karpenter autoscaling and static node groups; if nodes aren't initializing, check the logs for Karpenter or Node groups to resolve the issue.
📄️ Llama-3-8B on Inferentia2
Serve Llama-3 models on AWS Inferentia accelerators for efficient inference.
📄️ Llama-2 on Inferentia2
Serve Llama-2 models on AWS Inferentia accelerators for efficient inference.
📄️ Stable Diffusion on Inferentia2
Deployment of ML models on EKS requires access to GPUs or Neuron instances. If your deployment isn't working, it’s often due to missing access to these resources. Also, some deployment patterns rely on Karpenter autoscaling and static node groups; if nodes aren't initializing, check the logs for Karpenter or Node groups to resolve the issue.
📄️ Ray Serve High Availability
Deployment of ML models on EKS requires access to GPUs or Neuron instances. If your deployment isn't working, it’s often due to missing access to these resources. Also, some deployment patterns rely on Karpenter autoscaling and static node groups; if nodes aren't initializing, check the logs for Karpenter or Node groups to resolve the issue.