Overview
This is a repackaged open source software product wherein additional charges apply for support by TechLatest.net.
Important : For step by step guide on how to setup this vm , please refer to our Getting Started guide
Experience the future of AI/ML development with our NVIDIA GPU-accelerated virtual machine offer.
Key Features:
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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.
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NVIDIA GPU Acceleration: Unlock unparalleled computing power with our optimized NVIDIA GPU driver 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.
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AI Extensions : Take your AI/ML projects to the next level with Jupyter AI extensions. Seamlessly integrate with over 100 pre-trained models like OpenAI/ChatGPT, GeminiOpenLLM & lot more to unlock new possibilities in LLM & generative AI.
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JupyterHub Collaboration: 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.
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Comprehensive Library Support: 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.
Disclaimer: 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
- NVIDIA GPU powered Jupyter VM with pre-installed NVIDIA Drivers & Python AI/ML Libraries
Details
Typical total price
$0.656/hour
Pricing
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
|---|---|---|---|
p2.xlarge | $0.13 | $0.90 | $1.03 |
p2.8xlarge | $0.13 | $7.20 | $7.33 |
p2.16xlarge | $0.13 | $14.40 | $14.53 |
p3.2xlarge | $0.13 | $3.06 | $3.19 |
p3.8xlarge | $0.13 | $12.24 | $12.37 |
p3.16xlarge | $0.13 | $24.48 | $24.61 |
p3dn.24xlarge | $0.13 | $31.212 | $31.342 |
p4d.24xlarge | $0.13 | $32.773 | $32.903 |
g3.4xlarge | $0.13 | $1.14 | $1.27 |
g3.8xlarge | $0.13 | $2.28 | $2.41 |
Additional AWS infrastructure costs
Type | Cost |
|---|---|
EBS General Purpose SSD (gp2) volumes | $0.10/per GB/month of provisioned storage |
Vendor refund policy
Will be charged for usage, can be canceled anytime and usage fee is non refundable.
Legal
Vendor terms and conditions
Content disclaimer
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
first release
Additional details
Usage instructions
Please visit https://techlatest.net/support/nvidia-aiml-support/aws_gettingstartedguide/index.html for step by step guide on how to provision and use this solution.
Resources
Vendor resources
Support
Vendor support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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