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Deploy Models with Ease

* Launch models directly from your browser
* No DevOps or CLI setup required
* Expose model endpoints instantly

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Value:
* Go from training to production faster
* Focus on outcomes, not infrastructure

Quantize Models to Save Costs
  • Reduce model size without sacrificing performance
  • Run efficiently on smaller, low-power hardware
  • Simplify deployment across diverse environments
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Value

  • Lower infrastructure and inference costs
  • Expand reach to edge and resource-constrained devices
Get Smart Hardware Recommendations

* Analyze model specs and runtime settings automatically
* Calculate minimum VRAM and resource needs
* Recommend compatible machines based on availability

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Value:
* Prevent deployment failures due to under-provisioning
* Deploy efficiently without guesswork or over-allocation

Monitor Model Runtime in Real Time

* Capture health, load, and performance metrics with Prometheus
* Use prebuilt Grafana dashboards for instant insights
* Track resource usage and model behavior continuously

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Value:
* Identify issues before they impact performance
* Optimize runtime efficiency with actionable visibility

Scale Models Dynamically
    * Automatically adjust model instances based on current load
    * Schedule scaling rules to match usage patterns
    * Ensure smooth performance during peak and idle times

Value:
* Accelerate deployment with minimal setup
* Maintain consistent performance under varying demand

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Get Started Today with Protean AI

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Frequently Asked Questions

Your common doubts, answered clearly — so you can focus on deploying, scaling, and owning your AI journey with Protean.

Protean supports over 100 popular model architectures—including models from Hugging Face and fine-tuned ones.

No. Protean eliminates the need for CLI, scripts, or infrastructure setup. You can launch models, configure runtimes, and expose endpoints directly from your browser.

Protean analyzes your model’s specs—like precision, parallelism, and context size—and recommends compatible nodes based on available CPU, GPU, or NPU capacity.

Protean supports CPUs and GPUs/NPUs from NVIDIA, AMD, and Intel—balancing high-performance with cost-efficiency.

You can quantize models to shrink size without losing accuracy, enabling them to run on smaller, lower-cost devices—perfect for scaling or running at the edge.

Yes. Protean supports both manual scaling and auto-scaling based on real-time scheduled rules—ensuring consistent performance during spikes and savings during idle periods.

Protean provides built-in Prometheus metrics and pre-integrated Grafana dashboards. Monitor usage, throughput, CPU/GPU stats, and more—live.

Protean includes high availability with redundancy and auto-recovery. Failed nodes trigger model recovery on healthy ones automatically.

In most cases, you can deploy your trained model and expose a live API within minutes—without any infra setup or runtime tinkering.

Yes. Protean allows deployment of quantized models and adapters created during fine-tuning. Just provide the repo ID, set runtime, and go—no manual conversion needed.

The Preferred way to build and distribute Sovereign AI Solutions

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