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Available as a NIM, Mixtral 8x7B Instruct is a sparse MoE LLM that follows instructions, completes requests, and generates creative text.
Overview
Mixtral 8x7B Instruct is a language model that can follow instructions, complete requests, and generate creative text formats. Mixtral 8x7B a high-quality sparse mixture of experts model (SMoE) with open weights. This model has been optimized through supervised fine-tuning and direct preference optimization (DPO) for careful instruction following. Mixtral-8x7B-Instruct-v0.1 is an instruct fine-tuned version of the Mixtral-8x7B-v0.1.
Mixtral 8x7B Instruct v0.1 is available as an NVIDIA NIM microservice, part of NVIDIA AI Enterprise available on the AWS Marketplace. NIM is a set of easy-to-use microservices designed for secure, reliable deployment of high performance AI model inferencing.
This NIM is a prebuilt container that includes inference engines like Triton Inference Server, TensorRT, TensorRT-LLM, and PyTorch. NIM provides features like low latency, high throughput, function calling, metrics export, standard API, optimized profiles & enterprise support.
Highlights
- Mixtral 8x7B Instruct is a language model that can follow instructions, complete requests, and generate creative text formats. Mixtral 8x7B a high-quality sparse mixture of experts model (SMoE) with open weights. 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 90 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 | $4.00 |
ml.p5.48xlarge Inference (Real-Time) Recommended | Model inference on the ml.p5.48xlarge instance type, real-time mode | $8.00 |
Dimensions summary
You pay by the hour based on the GPU instance type you run and the inference mode you choose. One option runs batch inference on the ml.g5.48xlarge instance, where requests are processed in groups. The other runs real-time inference on the ml.p5.48xlarge instance, which handles requests as they arrive. Both are billed per host hour, so your cost scales with how long each instance runs. Pick the option that matches your workload: batch processing or live, on-demand responses. There are no tiers or commitments; charges accrue only while instances are active.
Top-of-mind questions for buyers
Each unit is one host hour on that specific GPU instance type. You pay for the time the instance stays running, not per request or per token. The ml.g5.48xlarge runs batch inference; the ml.p5.48xlarge runs real-time inference. Charges accrue for every hour the chosen instance is active.
Billing is per host hour while the instance runs. If you stop the instance, software charges stop accruing. An idle but running instance still bills by the hour, since metering tracks running time rather than actual inference requests processed.
Batch mode on the ml.g5.48xlarge processes requests in groups, which fits scheduled or bulk jobs. Real-time mode on the ml.p5.48xlarge handles requests as they arrive, which fits live applications like chatbots. Both bill per host hour, so cost follows how long each instance runs.
docs.nvidia.com
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No refunds. Please contact NVIDIA at https://www.nvidia.com/en-us/data-center/lp/aws-marketplace-offer/ for further assistance.
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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
Release notes are available here: https://docs.nvidia.com/nim/large-language-models/latest/release-notes.html#release-1-2-1
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": "meta/llama-3.1-8b-instruct",
"messages": "[
{"role": "user", "content": "Hello! How are you?"},
{"role": "assistant", "content": "Hi! I am quite well, how can I help you today?"},
{"role": "user", "content": "What is the capital of France? Give one word answer."}
]",
"max_tokens": 4,
"stream":false
}
https://github.com/NVIDIA/nim-deploy/blob/main/cloud-service-providers/aws/sagemaker/aws_marketplace_notebooks/nim_mixtral_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: mistralai/mixtral-8x7b-instruct-v0.1
| Type: FreeText | Yes |
messages.role | Role of the entity in conversation | Type: Categorical
Allowed values: system, user, assistant | Yes |
max_tokens | Number of tokens that can be generated in the model's response
| Default value: 1024
Type: Integer
Minimum: 0
Maximum: 4096 | No |
Resources
Support
Vendor support
Free support via NVIDIA NIM Developer Forum: https://forums.developer.nvidia.com/c/ai-data-science/nvidia-nim/ Global enterprise support is included with an NVIDIA AI Enterprise subscription: https://www.nvidia.com/en-us/data-center/products/ai-enterprise-suite/support/ For additional support information please contact NVIDIA: https://www.nvidia.com/en-us/data-center/lp/aws-marketplace-offer https://forums.developer.nvidia.com/c/ai-data-science/nvidia-nim/678
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.
Similar products
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