This is a repackaged open source software product with optional support from Meetrix.io.
At Meetrix, we have preconfigured an OpenAI API compatible AMI package for Mistral AI 7B as a Multi Model LLM Bundle for x86, which is a compact powerhouse of AI capabilities that can seamlessly switch between different models based on your requirements. This Amazon Machine Image is very easily deployable without devops hassle. Surpassing Llama 2 13B across all benchmarks, Mistral 7B consists of natural coding abilities and an impressive 8k sequence length. With the SSL auto generation and preconfigured OpenAI API integration, our Mistral AI 7B AMI is the perfect alternative for costly solutions such as GPT-4 or Bard.
Introducing Mistral AI 7B Multi Model LLM Bundle AMI: This is a repackaged open source software product with optional support from Meetrix.io. We keep costs low with pay-as-you-go pricing, while offering access to expert assistance.
This a groundbreaking AI model excelling in adaptability across various applications. Surpassing competitors like Llama 2 13B, Mistral AI 7B sets new benchmarks with exceptional performance, natural coding, and an unmatched 8k sequence length.
Our Mistral AI 7B AMI excels in seamless integration with the AWS ecosystem, offering a hassle-free deployment experience. Designed for simplicity and accessibility, even for those lacking technical expertise, it ensures anyone can harness the power of Mistral AI effortlessly.
We offer unparalleled support to our subscribers. You can find a product video and a developer guide with examples under 'Additional Resources' below.
Why Choose Mistral AI by Meetrix:
OpenAI API Compatibility: Pre-configured API compatible with OpenAI, providing an intuitive and consistent experience for users.
Future-Ready ARM64 Architecture: Prepared for the future with support for ARM64 architecture, known for its efficiency and power.
User-Friendly Deployment and Scalability: Emphasizes ease of AWS deployment, facilitating scalability for startups and enterprises.
Cost Efficiency with Pay-per-Hour Pricing: Pay only for the time you use the product, ensuring cost efficiency.
Proven Reliability: Benefit from our extensively tested and trusted solution.
User-Centric Data Control: Complete control over data with support for GDPR and ISO27001 compliance.
To sum it up, the Mistral AI AMI product isn't just about advanced AI capabilities; it's about making those capabilities accessible, adaptable, and forward-compatible. Dive into the next era of AI with Mistral AI on AWS.
Highlights
OpenAI API Compatibility: Meetrix AMI unlocks the potential of integration with Mistral AI Instruct v0.2 and OpenAI. We combine the strengths of two industry leaders for an intuitive AI experience. Stay at the forefront of AI technology with this powerful collaboration.
x86 Architecture: Power Tomorrow, Today with Mistral AI's Optimized AMI. Seamlessly scalable, globally deployable, and performance-driven, our solution sets the pace for innovation.
Globally Deployable Easily: Experience hassle-free deployment with our user-friendly AMI. Whether you're beginning your AI journey or expanding an established enterprise, our solution ensures smooth integration, optimizing your AI ventures effortlessly.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
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. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
You pay by the hour for the software running on your chosen EC2 GPU instance. All seven options use the g4dn instance family, so pricing scales with the instance size you select. The g4dn.xlarge and g4dn.2xlarge cover smaller configurations, while g4dn.4xlarge, g4dn.8xlarge, g4dn.12xlarge, and g4dn.16xlarge offer progressively more compute. The g4dn.metal option runs on bare-metal hardware. There is no upfront commitment; billing is usage-based per hour. You pick one instance size based on your workload and pay only for the hours you run it.
Top-of-mind questions for buyers
What am I actually paying for on each g4dn instance size?
You pay an hourly software charge for the Mistral 7B AMI running on that instance. Each g4dn size gives you more vCPUs, memory, and GPU capacity. The g4dn.metal option runs directly on physical hardware. You choose one size to match your workload's compute needs.
Am I charged when the instance is stopped or paused?
Hourly software charges apply only while the instance runs. If you stop the instance, the software metering stops too. You can restart it later from the EC2 console. Note that stopped instances may still incur underlying AWS storage fees for attached volumes, separate from the software charge.
Do I commit upfront, or do I pay only for what I use?
There is no upfront commitment. Billing is usage-based per hour on the instance you launch through the CloudFormation template. You pay for the hours the instance runs and can shut it down or remove the deployment at any time. This suits variable or short-term workloads.
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Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Mistral is capable of generating text, answering questions, generating content, and performing a range of text-related tasks in response to the provided prompts
CloudFormation Template (CFT)
AWS CloudFormation templates are JSON or YAML-formatted text files that simplify provisioning and management on AWS. The templates describe the service or application architecture you want to deploy, and AWS CloudFormation uses those templates to provision and configure the required services (such as Amazon EC2 instances or Amazon RDS DB instances). The deployed application and associated resources are called a "stack."
Version release notes
First Release
Additional details
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Template components
CloudFormation template
Usage instructions
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Please wait for a few minutes while the processing takes place. Once it's completed, click on "Continue to Configuration".
IAM Role is set up and configured with the necessary permissions to assume the role for the Mistral service. The IAM Policy is created and responsible for accessing Route53 and creating Letsencrypt SSL certificates. Apart from that volume permissions also given for changing volume type of instance.
Access the application via a browser at http://<your domain name>/docs or http://<Public IPv4 address>/docs.
Product will try to create SSL certificates when its deploying to account if domain hosted on route53. If the automatic SSL creation unsuccesful then you have to point domain name into server ip, ssh into server and run /root/certificate_generate_standalone.sh. Admin email is also using for generate SSL certificates.
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.
This product has charges associated with it for seller support. Run & Manage latest LLMs locally, privately, securely and cost-effectively without any vendor lock-in.
This VM solution comes pre-loaded with LLaMA, Mistral, Gemma, DeepSeek, & Qwen models along with Open-WebUI as an intuitive UI to interact with the LLMs and Ollama to install new models as needed.
This deployment package enables seamless hosting of the mistralai/Mistral-7B-Instruct-v0.3 language model on Intel® Xeon® processors using the VLLM CPU-optimized Docker image. Designed for efficient inference on CPU-only environments, this solution leverages vLLM lightweight architecture to deliver fast and scalable performance without requiring GPU acceleration. Ideal for enterprise-grade NLP tasks, it offers a cost-effective and accessible way to run large language models on Intel-powered infrastructure.
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