AI TOOL PROFILE
qbo: Bare Metal GPU Cloud Platform
- Software Development
- Cloud Infrastructure
- AI labs
- Enterprise software companies
- Government agencies
- ML engineers
- Technical operations managers
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
At a glance
- Best for
- AI labs, Enterprise software companies, Government agencies, ML engineers, Technical operations managers
- Key use cases
- AI/ML Training and Inference, Edge Computing, High-Performance Workstations, SaaS Infrastructure Optimization
- Integrations
- NVIDIA Container Toolkit, NVIDIA GPU Operator, Kubeflow, Docker, Kubernetes
- Official website
- Visit qbo official website
How AI is used
qbo is a GPU cloud and container infrastructure platform designed to provide bare-metal performance by removing the virtualization layer typically found in hyperscale clouds. It supports the deployment of orchestrated GPUs and Kubernetes using a pure container approach.
The software is intended for AI labs, enterprises, and government agencies that require high-performance computing for AI/ML training and inference. It supports deployments across on-premises data centers, public clouds, and air-gapped environments.
Using Kubernetes-in-Docker (KinD) and Docker-in-Docker technology, the platform integrates infrastructure dependencies such as DNS, load balancing, and firewalls into a single environment to support the management of GPU-accelerated workloads.
Buyers should confirm hardware compatibility, though the tool is designed to run on x86 or ARM servers using Linux. It is primarily suited for technical teams with experience in Kubernetes and container orchestration.
Key Features
Bare-metal GPU Access
Provides direct hardware access without a virtualization layer to support high-I/O and AI/ML workloads.
qbo Kubernetes Engine (QKE)
A Kubernetes environment based on KinD (Kubernetes in Docker) and optimized with the NVIDIA GPU Operator.
qbo Container Engine (QCE)
Uses Docker-in-Docker and the NVIDIA Container Toolkit to manage compute instances.
Integrated Infrastructure
Includes built-in DNS, load balancing, firewall, authentication, and ACME.
Hardware Agnostic Deployment
Designed to run on x86 or ARM servers requiring a Linux operating system.
qbo AsyncAPI
An event-driven architecture designed for dynamic compute provisioning and real time API communication.
Use Cases
AI/ML Training and Inference
Running distributed GPU infrastructure for training models and performing low-latency inference.
Edge Computing
Deploying AI-powered threat detection or analytics in edge locations or disconnected environments.
High-Performance Workstations
Providing GPU-accelerated environments for CUDA development, 3D design, and video editing.
SaaS Infrastructure Optimization
Migrating workloads from hyperscalers to bare-metal environments to help reduce total cost of ownership.
Integrations
- NVIDIA Container Toolkit
- NVIDIA GPU Operator
- Kubeflow
- Docker
- Kubernetes
FAQ
What is qbo and who is it for?
- qbo is a GPU cloud platform that provides bare-metal performance for AI/ML workloads. It is designed for AI labs, enterprises, and government agencies.
Does qbo require specific hardware?
- qbo is designed to run on x86 or ARM servers running Linux; no specialized hardware or virtualization layer is required.
How does qbo handle Kubernetes orchestration?
- It uses the qbo Kubernetes Engine (QKE), which is powered by KinD (Kubernetes in Docker) and optimized with the NVIDIA GPU Operator.
Source category: Software Development
Source subcategory: Cloud Infrastructure
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