All Content tagged with AWS Deep Learning Containers
AWS Deep Learning Containers (AWS DL Containers) are Docker images pre-installed with deep learning frameworks to make it easy to deploy custom machine learning (ML) environments quickly by letting you skip the complicated process of building and optimizing your environments from scratch.
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Sheng ChenEXPERT
published 12 days ago1 votes179 views
Quick guide on how to deploy DeepSeek R1 (full model) on Amazon EKS with distributed inferencing using vLLM
Huggingface (https://github.com/huggingface/text-embeddings-inference) has released the image to support the new embedding models of Qwen. I really need them for our project. But the latest tei-huggin...
Hi Team, I need some help here. IHAC needs to deploy an ONNX model using SageMaker. They scanned the latest Triton and DJL DL containers and found more than 1k vulnerabilities in different packages. T...
asked 5 months ago
I followed AWS tutorials to deploy a model on Sagemaker, but when the server deployed takes several minutes to process a request, it runs the same processing multiple times for an invocation. I report...
dariushEXPERT
published a year ago1 votes5K views
Upgrading your Amazon Elastic Kubernetes Service (EKS) cluster is essential to leverage the latest features, security patches, and performance improvements in Kubernetes. This guide provides a clear s...
After fine-tuning a DistilBERT model and saving it as 'model.pth', and creating an 'inference.py' script, I packaged both into a '.tar.gz' file. Upon deploying it, an endpoint was successfully created...
Could you please explain in detail with example ?
Why we need the generative AI?
asked 2 years ago
Hi,
As part of ongoing development in our project, we hire designers to design UX/UI for Mobile Apps.
Hence in this context, can we have Bot(training engine) arranged so that we can train and use for...
I'm running some experiments which requires transformer version greater than 4.17. to upgrade to latest , can i simply install newer version in my own container ?
Dockerfile
```
FROM 763104351884.d...
We are fine-tuning stable diffusion model on a custom dataset and looking for the DreamBooth approach for training on Sagemaker. Is it possible on Sagemaker. if yes then can you give me some links or ...
When I have a look at https://github.com/aws/deep-learning-containers/blob/master/available_images.md I get many different deep learning containers with an example URL, for instance,
763104351884.dk...
I am deploying a Triton server endpoint on Sagemaker and I want to ssh into the instance where the endpoint is running for debugging purposes. I can't find a way to identify the instance (e.g. find th...