This is a single-click AMI package of DeepSeek-Coder-33B, which is among DeepSeek Coder series of large code language models, pre-trained on 2 trillion tokens of 87% code and 13% natural language text. DeepSeek Coder models are trained with a 16,000 token window size and an extra fill-in-the-blank task to enable project-level code completion and infilling. DeepSeek Coder achieves state-of-the-art performance on various code generation benchmarks compared to other open-source code models.
Massive Training Data: Trained from scratch fon 2T tokens, including 87% code and 13% linguistic data in both English and Chinese languages.
Highly Flexible & Scalable: Enabling users to choose the setup most suitable for their requirements.
Superior Model Performance: State-of-the-art performance among publicly available code models on HumanEval, MultiPL-E, MBPP, DS-1000, and APPS benchmarks.
Advanced Code Completion Capabilities: A window size of 16K and a fill-in-the-blank task, supporting project-level code completion and infilling tasks.
Key Features:
Ready-to-Deploy: Unlike the raw DeepSeek models, the AMI version facilitates an immediate launch, eliminating intricate setup processes.
API Integration: Integrated with a robust API, it ensures a seamless interface with a myriad of applications, amplifying flexibility.
Highlights
Easy Integration: Designed for interoperability, this AMI effortlessly aligns with the OpenAI landscape and offers seamless API connections, ensuring smooth operations across diverse platforms.
Effortless Deployment: Designed for ease-of-use, this AMI provides users with a hassle-free setup experience, ensuring quick implementation without the complexities.
Pay-as-You-Go Flexibility: Enjoy cost efficiency with a pay-as-you-go pricing model.
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 EC2 instance running this pre-configured code model. Two instance options are available, both billed per hour of use. The g5g.16xlarge runs on a sized GPU instance, while the g5g.metal runs on a bare metal instance. Your cost scales with how many hours each instance stays running. You choose the instance type during setup and can stop the instance to pause charges. No upfront commitment applies; billing follows actual usage time.
Top-of-mind questions for buyers
What hardware difference separates the g5g.16xlarge and g5g.metal options?
The g5g.16xlarge is a sized GPU instance that shares physical hardware behind AWS virtualization. The g5g.metal gives you a bare metal instance with dedicated physical hardware and no hypervisor layer. Both run the same pre-configured code model and bill per hour of running time.
Am I charged when the instance is stopped or paused?
Hourly software charges apply only while the instance runs. You can stop the instance to pause these charges and restart it later. A stopped instance may still accrue underlying AWS storage fees, but the hourly software metering counts running time only.
Do I need enough AWS capacity before launching these instances?
Yes. You need enough vCPU limit to launch a g5g type instance, plus an active AWS account with permissions for EC2 and CloudFormation. If you hit a vCPU quota error during launch, you must request a limit increase before the stack can create.
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Deepseek coder is capable of generating text, answering questions, generating content, and performing a range of text-related tasks in response to the provided prompts. Specially for programming languages and computer science related questions.
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
Usage instructions
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 Deepseekcoder 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 setup SSL based on provided domain name, 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 is a repackaged open source software product wherein additional charges apply for Code Creator EC2 ready Appwrite packaging, preconfigured Docker microservices deployment, backend development environment integration, Ubuntu configuration, and AWS Marketplace AMI engineering. Appwrite is an end to end backend server for Web, Mobile, Native, or Backend apps packaged as a set of Docker microservices. Appwrite abstracts the complexity and repetitiveness required to build a modern backend API from scratch and allows you to build secure apps faster.
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