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Torque
End-to-End Infrastructure Optimization

AI Copilot
Let AI handle the heavy lifting to optimize your cloud infrastructure

Cloud Curate
Auto-generate Infrastructure as Code directly from your cloud accounts.

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Integrations
Plug environments into your developer tools

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CloudShell
Infrastructure Automation for Hybrid Workloads

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Infrastructure as Code
AI orchestration & simplified provisioning for IaC

Terraform
Automate how you create, delivery, & maintain Terraform resources

OpenTofu
Make your OpenTofu resources easier to run and maintain

Helm
Scale your Helm Charts securely

GPU Stacks
Scalable, managed GPUs for AI solutions

NVIDIA AI Enterprise
Ease-of-use for orchestrating AI resources

Multi-Cloud / Hybrid Cloud
Unlock velocity & optimize usage across clouds

Kubernetes
Simplify Kubernetes to democratize access
Use Cases
Roles
Common roles we support

DevOps Agent
Accelerate DevOps with AI agents to perform routine tasks

SRE Agent
Improve uptime with Agentic AI to help SREs move faster

FinOps Agent
Eliminate wasted cloud costs proactively

Data Science Agent
Streamline delivery of AI applications with AI for data science teams

Use Cases
Problems our products solve

Developer Experience
Self-service access to a simple infrastructure provisioning experience

Software Demo & Training Environments
Accelerate delivery of mission-critical, non-production software environments

Agentic AI
Streamline the delivery of your agentic AI tech stack

Day-2 Operations
Enhance application performance with automated actions on live environments.

Cloud Cost Optimization
Identify, eliminate, and prevent your wasted cloud costs proactively
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Intro to Quali Torque
Intro to platform engineering with Torque

AI Infrastructure Orchestration
How to use AI to orchestrate IaC into environment templates

Cloud Cost Optimization
Identifying & preventing wasted costs

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RECENT BLOG POST
10 Mar, 2026
Torque as an AI Infrastructure Assistant: Supporting SREs in Practice
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Torque
End-to-End Infrastructure Optimization
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Infrastructure Automation for Hybrid Workloads
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