Hugging Face NLP Stack Pre-configured by Miri Infotech Inc. on Ubuntu
Miri Infotech · Software Development
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
The Hugging Face NLP Stack Pre-Configured AMI is a turnkey solution designed to accelerate AI development by providing a fully optimized, no-setup environment for natural language processing. Built on Ubuntu 24.04, this AWS machine image comes pre-installed with the Hugging Face ecosystem (Transformers, Datasets, Tokenizers, and Evaluate), PyTorch 2.0 with GPU support, and popular pre-trained models (including GPT-4, BERT-large, and T5). With JupyterLab pre-configured and secured via EC2 instance credentials, users can start prototyping within minutes of launch no dependency management or manual model downloads required. The AMI is fine-tuned for AWS GPU instances (p3/p4/g4/g5) with CUDA 12 and cuDNN, ensuring maximum performance for training and inference.
Designed for both beginners and experts, the AMI includes curated tutorials for common NLP tasks (text generation, sentiment analysis, and fine-tuning) and supports seamless scaling from experimentation to production. Security features like IAM-based authentication, VPC isolation, and encrypted model caching make it enterprise-ready, while pre-loaded tools like TensorBoard and Weights & Biases integration streamline model monitoring. Whether you are a researcher testing novel architectures, a developer building AI-powered apps, or a startup iterating on NLP products, this AMI cuts infrastructure overhead by 90%, letting you focus on innovation. Just launch, log in, and build your AI workspace is ready.
Highlights
Highlighted by the publisher on AWS Marketplace.
1-click AWS AMI with Hugging Face Transformers, Jupyter, and pre-loaded models (BERT/GPT/T5) - deploy NLP projects in minutes.
Pre-configured GPU-optimized NLP environment - just launch and start coding with Hugging Face.
Instant Hugging Face workspace: Jupyter + Transformers + popular models, ready on AWS in 5 minutes.
Agent build and provenance
See the full provenance
The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Plans and pricing as listed
40 listed- Hrs
- Hrs
- Hrs
- Hrs
- Hrs
- Hrs
- Hrs
- Hrs
- Hrs
- Hrs
- Hrs
- Hrs
Refund terms
As stated by the publisher on AWS Marketplace.
No Refund Policy
Sources
Linked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.