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Llama 3.1 Nemotron Ultra 253B V1 is a LLM which is a derivative of Meta Llama-3.1-405B-Instruct. It is a reasoning model that is post trained for reasoning, human chat preferences, and tasks, such as RAG and tool calling.
Overview
Llama-3.1-Nemotron-Ultra-253B-v1 is a model which offers a great tradeoff between model accuracy and efficiency. Efficiency (throughput) directly translates to savings. Using a novel Neural Architecture Search (NAS) approach, we greatly reduce the models memory footprint, enabling larger workloads, as well as reducing the number of GPUs required to run the model in a data center environment. This NAS approach enables the selection of a desired point in the accuracy-efficiency tradeoff. Furthermore, by using a novel method to vertically compress the model (see details here), it also offers a significant improvement in latency.
The model underwent a multi-phase post-training process to enhance both its reasoning and non-reasoning capabilities. This includes a supervised fine-tuning stage for Math, Code, Reasoning, Chat, and Tool Calling as well as multiple reinforcement learning (RL) stages using Group Relative Policy Optimization (GRPO) algorithms for reasoning, chat, and instruction-following.
This model is ready for commercial use.
Highlights
- Llama 3.1 Nemotron Ultra 253B V1 NIM is an 253-billion-parameter multilingual large language model (LLM) pretrained and instruction tuned generative model. Developers designing AI Agent systems, chatbots, RAG systems, and other AI-powered applications can use this NIM. Also suitable for typical instruction-following tasks.. It is available as an [NVIDIA NIM microservice](https://docs.nvidia.com/nim/large-language-models/latest/introduction.html).
- NVIDIA NIM, a part of the [NVIDIA AI Enterprise](https://www.nvidia.com/en-us/data-center/products/ai-enterprise/) software platform available on the [AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-ozgjkov6vq3l6), is a set of easy-to-use microservices designed for secure, reliable deployment of high performance AI model inferencing.
Details
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Pricing
Free trial
Try this product free for 31 days according to the free trial terms set by the vendor.
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/host/hour |
|---|---|---|
ml.g5.48xlarge Inference (Batch) Recommended | Model inference on the ml.g5.48xlarge instance type, batch mode | $8.00 |
ml.p5.48xlarge Inference (Real-Time) Recommended | Model inference on the ml.p5.48xlarge instance type, real-time mode | $8.00 |
ml.g5.12xlarge Inference (Batch) | Model inference on the ml.g5.12xlarge instance type, batch mode | $4.00 |
ml.g5.24xlarge Inference (Batch) | Model inference on the ml.g5.24xlarge instance type, batch mode | $4.00 |
ml.p5e.48xlarge Inference (Real-Time) | Model inference on the ml.p5e.48xlarge instance type, real-time mode | $8.00 |
ml.p5en.48xlarge Inference (Real-Time) | Model inference on the ml.p5en.48xlarge instance type, real-time mode | $8.00 |
Vendor refund policy
No refund.
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Delivery details
Amazon SageMaker model
An Amazon SageMaker model package is a pre-trained machine learning model ready to use without additional training. Use the model package to create a model on Amazon SageMaker for real-time inference or batch processing. Amazon SageMaker is a fully managed platform for building, training, and deploying machine learning models at scale.
Deploy the model on Amazon SageMaker AI using the following options:
Version release notes
Additional details
Inputs
- Summary
The model accepts JSON requests with parameters on /invocations and /ping APIs that can be used to control the generated text. See examples and fields descriptions below.
- Input MIME type
- application/json
{
model: "nvidia/llama-3.1-nemotron-ultra-253b-v1",
messages: [{"role":"system","content":"detailed thinking on"},{"role":"user","content":"Write a limerick about the wonders of GPU computing."}],
temperature: 0.6,
top_p: 0.7,
max_tokens: 1024,
frequency_penalty: 0,
presence_penalty: 0,
stream: true,
}
https://github.com/NVIDIA/nim-deploy/blob/main/cloud-service-providers/aws/sagemaker/aws_marketplace_notebooks/nim_llama3.3-nemotron-super-49b-v1_aws_marketplace.ipynb
Input data descriptions
The following table describes supported input data fields for real-time inference and batch transform.
Field name | Description | Constraints | Required |
|---|---|---|---|
model | Name of the model: nvidia/llama-3.1-nemotron-ultra-253b-v1 | Type: FreeText | Yes |
messages.role | Role of the entity in conversation | Type: Categorical
Allowed values: system, user, assistant | No |
max_tokens | Number of tokens that can be generated in the model's response | Default value: 1024
Type: Integer
Minimum: 0
Maximum: 2048 | No |
Resources
Support
Vendor support
Free support via NVIDIA NIM Developer Forum: https://forums.developer.nvidia.com/c/ai-data-science/nvidia-nim/Â
Global enterprise support is included with an NVIDIA AI Enterprise subscription: https://www.nvidia.com/en-us/data-center/products/ai-enterprise-suite/support/Â
For additional support information please contact NVIDIA: https://www.nvidia.com/en-us/data-center/lp/aws-marketplace-offerÂ
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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