NVIDIA LLM, AI and ML optimized VM by Techlatest.net
TechLatest · Software Development
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
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/nvidia-aiml-support/aws_gettingstartedguide/"> Getting Started guide </a><br>
Show the rest of the publisher’s description (8 more lines)
Experience the future of AI/ML development with our NVIDIA GPU-accelerated virtual machine offer.
Key Features:
- CUDA Toolkit from NVIDIA which provides everything you need to develop GPU-accelerated applications. The CUDA Toolkit includes GPU-accelerated libraries, a compiler, development tools and the CUDA runtime.
- <b>NVIDIA GPU Acceleration:</b> Unlock unparalleled computing power with our optimized <b>NVIDIA GPU driver</b> setup. Experience lightning-fast performance and accelerated computing for even the most complex AI/ML tasks, enabling you to train & inference LLM models faster and to handle larger datasets with ease.
- <b>AI Extensions :</b> Take your AI/ML projects to the next level with Jupyter AI extensions. Seamlessly integrate with over 100 pre-trained models like <b>OpenAI/ChatGPT, GeminiOpenLLM</b> & lot more to unlock new possibilities in LLM & generative AI.
- <b>JupyterHub Collaboration:</b> Collaborate effortlessly with colleagues and teammates using JupyterHub's multi-user environment. Share code, data, and insights in real-time, driving innovation and efficiency across your team.
- <b>Comprehensive Library Support:</b> Say goodbye to time consuming & tedious library installations - our virtual machine comes pre-configured with all the essential AI/ML libraries you need from TensorFlow to PyTorch and beyond, access the tools you love right out of the box. <br><br>
<b>Disclaimer:</b> Other trademarks and trade names may be used in this document to refer to either the entities claiming the marks and/or names or their products and are the property of their respective owners. We disclaim proprietary interest in the marks and names of others.
Highlights
Highlighted by the publisher on AWS Marketplace.
NVIDIA GPU powered Jupyter VM with pre-installed NVIDIA Drivers & Python AI/ML Libraries
Agent build and provenance
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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.
Compliance
- 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
Plans and pricing as listed
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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
Publisher resources
2 linksLinked 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.