Sold by: OptickÂ
Deployed on AWS
AWS Free Tier
Optick Instant AI Ready VS Code Server is a turnkey, cloud based IDE preconfigured with multi model AI support; empower your team to code smarter using GPT4, CodeLlama, and any LLM of your choice, directly in the browser.
Overview
Unlock next level developer productivity with Optick Instant AI Ready VS Code Server. This AMI delivers a fully managed, zero touch cloud IDE that integrates seamlessly with leading AI models, GPT4, CodeLlama, Copilot, and more; so you can generate, refactor, and debug code with contextual intelligence at every keystroke.
Multi Model Flexibility: Choose from an ecosystem of LLM providers; OpenAI, Hugging Face, Ollama, and private endpoints; via a simple Provider of LLM dropdown.
Plug and Play AI Extensions: Pre-installed OpenAI Chat, GitHub Copilot, and LLM Provider extensions let you switch models on the fly without redeploying your instance.
Browser Native VS Code: Leverage code-servers secure, high performance environment for VS Code in your browser; no local installs, no client side dependencies.
Enterprise Ready Security: Hardened Ubuntu 24.04 LTS, built in TLS support, SSH key authentication, and easy HTTPS enablement protect your code and data.
Scalable and Cost-Effective: Spin up instances in minutes, scale on demand, and eliminate per token egress fees by hosting private models or using your own API keys.
Highlights
- Accelerated Development: Jumpstart projects with AI powered scaffolding, syntax corrections, and one-click code generation.
- Accelerated Development: Jumpstart projects with AI powered scaffolding, syntax corrections, and one click code generation.
- Seamless Collaboration: Share workspaces and AI sessions across teams for real time peer review and pair-programming.
Details
Sold by
Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
Deployed on AWS
Unlock automation with AI agent solutions
Fast-track AI initiatives with agents, tools, and solutions from AWS Partners.
Features and programs
Financing for AWS Marketplace purchases
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
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 | Cost/hour |
|---|---|
t3.medium Recommended | $0.025 |
t2.micro AWS Free Tier | $0.025 |
t3.micro AWS Free Tier | $0.025 |
t3.small | $0.025 |
c5.2xlarge | $0.025 |
c5.4xlarge | $0.025 |
c5.xlarge | $0.025 |
t3.xlarge | $0.025 |
t2.xlarge | $0.025 |
t2.small | $0.025 |
Vendor refund policy
We do not currently support refunds, but you can cancel at any time.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA)Â .
Content disclaimer
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.
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
n/a
Additional details
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.
Similar products
Claude Instant (Amazon Bedrock Edition)
By Anthropic
Claude Instant is our faster, cheaper yet still very capable model, which can handle a range of tasks including casual dialogue, text analysis, summarization, and document comprehension.
This product has fees associated with the provision and deployment of the application and AMI support. This OpenProject server, is ready for instant deployment, hosted on an Ubuntu remote system, serves as a robust platform for project management and team collaboration.
Apache Superset: Instant Deployment packaged by Code Creator
By Code Creator
This product has a fee associated with the provision and deployment of the application and AMI support. Apache Superset is a modern, open source data exploration and visualization platform designed to handle data at scale. It offers a rich set of features for creating interactive dashboards, visualizing complex data, and performing in depth data analysis, making it an ideal choice for data driven organizations.
Claude Instant (100K) (Amazon Bedrock Edition)
By Anthropic
Claude Instant is our faster, cheaper yet still very capable model, which can handle a range of tasks including casual dialogue, text analysis, summarization, and document comprehension. Supports context lengths up to 100,000 tokens (or up to hundreds of pages).
DBLab SE - instant cloning and database branching for PostgreSQL
By DBLab by Postgres.AI
DBLab Standard Edition (DBLab SE) delivers fast, cost-effective database cloning, enabling agile teams to create instant, full-size production clones for development, testing, and staging, all managed like code, integrated into CI/CD pipelines, and optimized with transparent pricing.
Customer reviews
No customer reviews yet
Be the first to review this product . We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.