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Multiuser Python Jupyter notebook for AI/ML by Techlatest.net

TechLatest · Software Development

Partial captureNo attestation published

Certification per AWS Marketplace.

Provenance reach4 of 12 layers traced

Evidence tier Source Confirmed · 4 captures on record

User ratingNot rated0 reviews on the listing
Runs onUnknownVirtual machine
ProvenanceUnknown44% of the provenance layers this product can disclose
Evidence riskHighSign in to see the basis for this band.

What the publisher says

As described on AWS Marketplace.

This is a repackaged open source software product wherein additional charges apply for support by TechLatest.net.

<b>Important:</b> For step by step guide on how to setup this vm , please refer to our <a href="https://www.techlatest.net/support/jupyter_python_notebook_support/aws_gettingstartedguide/">Getting Started guide</a>

Show the rest of the publisher’s description (15 more lines)

If you are AI/ML practitioner or someone who is starting their AI/ML journey but do not want to spend hours setting up the right environment , this VM is for you. It includes :

  • <b>Jupyter</b> : Your AI/ML Playground
  • <b>Jupyterhub</b>: Making your AI/ML projects more collaborative by providing multi-user environment and enabling easy code and data sharing

3.<a href="https://jupyter-ai.readthedocs.io/en/latest/index.html"> <b>Jupyter AI extension</b></a> : your gateway to generative AI within Jupyter

  • Provides better data privacy and control as your data, models, code & other information is stored on the VM
  • Preinstalled popular AI/ML libraries such as <b>TensorFlow, PyTorch, scikit-learn</b> and many more
  • Pre-configured <b>NVIDIA GPU drivers & CUDA libraries</b>

<p>The preinstalled <b>Juputer and AI/ML libraries</b> jump-start your AI/ML development by saving you hours of installation time.</p><br>

<p><b>Jupyterhub</b> gives you the collaboration capabilities by allowing a multi-user environment within the same VM. This not only makes it easy to share the AI/ML work , but makes it more cost efficient in a team setup by allowing multiple users/team members to share the same VM infrastructure instead of each user creating their own VM/notebooks.</p><br>

<p>With the <a href="https://jupyter-ai.readthedocs.io/en/latest/index.html"> <b>Jupyter AI</b></a> extension, you can seamlessly integrate with <b>100+</b> widely used <b>LLMs </b>from <b>10+</b> model providers such as <b>OpenAI</b> for <b>ChatGPT, Anthropic, Hugging Face, AI21, SageMaker </b> to name a few. Complete list of supported LLM Model providers is available <a href="https://jupyter-ai.readthedocs.io/en/latest/users/index.html#model-providers">here</a>.</p><br>

<p>The JupyterAI extension comes with <b>built-in LLM Chat UI</b> for seamless collaboration for generative AI. Enjoy flexibility with support for diverse models and providers, <b>seek code suggestions, debugging tips, or even have code snippets generated </b>for you by interacting with the chat UI.</p><br>

<p>In addition to the Chat UI, the JupyterAI extension comes with <b>%ai </b>and <b>%%ai</b> magic commands turning your Jupyter into a generative AI playground anywhere the IPython kernel runs!</p><br>

<p>The VM also has pre-configured <b>NVIDIA GPU drivers & CUDA libraries</b> saving you hours of driver setup and configuration hassle so you can harness the power of GPU resources for your AI/ML workload and conduct advanced data analysis with ease.</p>

Check our <a href="http://www.techlatest.net/support/jupyter_python_notebook_support/">Jupyter Python Notebook</a> Product Page for more details :

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Highlights

Highlighted by the publisher on AWS Marketplace.

Multi User Jupyter notebook with AI/ML setup for LLM & Generative-AI

AI & ML development, training and inference using Jupyter notebook

Accelerate AI, Machine Learning & Data Analysis with the Power of Jupyter and GPU on AWS

Preview

5 images
Multiuser Python Jupyter notebook for AI/ML by Techlatest.net preview 1Multiuser Python Jupyter notebook for AI/ML by Techlatest.net preview 2Multiuser Python Jupyter notebook for AI/ML by Techlatest.net preview 3Multiuser Python Jupyter notebook for AI/ML by Techlatest.net preview 4Multiuser Python Jupyter notebook for AI/ML by Techlatest.net preview 5

Agent build and provenance

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Compliance

Government
  • FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27

Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.

Vendor

External enrichment · as of 2026-08-29

CompanyTechlatest.NetAutomated
HQUnited States of AmericaAutomated
IndustryTechnologyAutomated
Websitehttp://www.techlatest.net/

Refund terms

As stated by the publisher on AWS Marketplace.

Will be charged for usage, can be canceled anytime and usage fee is non refundable.

Sources

Marketplace listingaws.amazon.comSource
App certificationaws.amazon.comSource
StandardEulaStandardEulaSource

Publisher resources

2 links
Product Videowww.youtube.comSource
Support and Documentationwww.techlatest.netSource

Linked repositories

RepositoriesUnknownUnknown

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.

Pricing
Paid
Rate card pricing
Delivery
Virtual machine
email info@techlatest.net
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