An AI Infrastructure Now Within Reach
Introducing the QAI
Democratizing the AI Cluster for All
Powerful, Affordable and Scalable AI Cluster with Customizable Options for your business.
Hyperscalers have made it harder for smaller organizations to have their own private AI cluster. It is about time for you to take charge of your organization's data and operate your own AI infrastructure.
With QAI, Quantea is bringing private AI to every business.
Affordability
Starting at just a fraction of the cost of similar clusters makes the QAI accessible to a wide range of businesses.
Customizability
Flexible hardware and software options to choose from. Choose the GPUs, operating systems, and storage size that best fit your workload.
Scalability
Start with a 4-node cluster to keep initial investments low, then expand to 100+ nodes as your business grows.
Data Privacy
Be able to leverage the power of AI without having to give up on your organization's proprietary and confidential data.
QAI is the clear winner for every business
When it comes to capabilities and features that matter for businesses, QAI is the clear winner when it comes to building your own private AI.
Quantea
Fully Integrated Cluster Solution-
Affordable AI Capabilities
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Fully Integrated, Pre-configured
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Integrated IDS & Network Monitoring
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Easy to scale without expertise
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QInsight Software Included
NVIDIA
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High Upfront Costs
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Requires additional setup
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Requires additional solutions
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Complex and expensive scaling
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No built-in analysis tools
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Expensive for long-term usage
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Requires cloud management
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Security tools add complexity
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Scalable but at a high cost
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General network analysis tools
AWS
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High hourly costs
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Requires cloud configuration
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Paid security add-ons
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Scalable but at high recurring costs
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Requires custom built tools
QAI Cluster Metrics
Purpose-built Network and Security Analysis for AI Clusters
With QI, actively monitor metrics that are crucial in affecting the AI inference cluster:
- Inference latency: request-response and completion times
- Throughput: requests per second and data volume
- Network packet loss: packet loss and jitter
- Load balancing: traffic distribution and congestion forecast
- Failure rates: error responses and retries
- Unusual traffic patterns
- Congestion and latency spikes
- Service availability: node uptime and service outages
Non-Intrusive AI Inference Monitoring
Installation does not introduce an additional point of failure.
100% accurate copy of network traffic.
Ensure observability even when network is not operating optimally.
Create redundant observation points without compromise.
Deep Automation Capabilities
End-to-end automation of all observability and analysis functions.
Faster response times with less manual involvement.
“Around-the-clock” coverage and actionability.
Integration with existing workflows and tools.
Network Visibility is Greater with Quantea
Free Evaluation
Consultation and Recommendation
Inquiries / Live Demo