CoreNova Intelligence

Products & services

The CoreNova Hardened AMI security-baseline series is publicly available on AWS Marketplace (Amazon Linux 2023, Ubuntu 22.04, and GPU Base); specs and pricing are defined on each Listing.

Available now

Hardened AMI spec comparison

Ubuntu 22.04 LTS Hardened GPU AMI CUDA Ready - CoreNova

OS
Ubuntu 22.04 LTS · GPU
Firewall
UFW
GPU / CUDA
NVIDIA · CUDA 12.4
Pricing
0.05/hr · 7-day trial

Purchase & deploy

Choose a Listing in the table above, or browse all products on the seller profile.

Open seller profile

Procurement & onboarding (overview)

  1. 1

    Choose a product & commercial model

    Select subscription, usage-based pricing, or AMI purchase—then complete your enterprise procurement steps.

  2. 2

    Entitle & deploy

    Authorize in your AWS account and deploy into VPC/EC2 and supporting resources.

  3. 3

    Operationalize with governance

    Align IAM, networking, and auditing with your security and operations standards.

Using an AMI on EC2 (illustrative)

After purchase or subscription, launch EC2 instances from the image and follow the product’s initialization guide. Steps vary by Listing.

EC2 Launch Wizard
          AWS Console
  → EC2
    → Launch instance
      → Application and OS Images (AMI)
        → Amazon Linux 2023 Hardened AMI - CoreNova
        → Ubuntu 22.04 LTS Hardened AMI - CoreNova
        → Ubuntu 22.04 LTS Hardened GPU AMI CUDA Ready - CoreNova
        

Planned

More capabilities (planned)

The following capabilities are on our roadmap; delivery and Listings will be confirmed at launch.

01 AI agent automation
Problem
You need agents integrated with systems, processes, and permission boundaries.
Delivery
Delivered as Marketplace software/image offerings (per Listing).
Audience
Enterprise teams automating internal workflows and operations.
02 One-click OSS AI deployment images
Problem
OSS stacks are dependency-heavy; manual installs are slow and brittle.
Delivery
Preconfigured AMIs/images for fast, consistent EC2 launches.
Audience
ML platform, engineering, and research teams.
03 Preconfigured Linux development environments
Problem
Inconsistent dev environments increase integration risk and debugging cost.
Delivery
Standard Linux toolchain/runtime baselines, extensible via images.
Audience
R&D and platform engineering teams.
04 AI inference & AIOps tooling
Problem
Inference and operational actions need an observable, orchestratable execution surface.
Delivery
Tooling combinations delivered on cloud and via images (per Listing).
Audience
Organizations shipping inference and automated operations.
05 Developer-focused cloud deployment
Problem
The path from code to runnable environments is too long for fast iteration.
Delivery
Developer-oriented deployment aligned with Marketplace commercial models.
Audience
Developers and DevOps teams.