AI Hardware Estimator

Figure out what it takes to actually run a multi-agent AI system: VRAM, GPUs, CPU, RAM, storage, and the gotchas that come with your security requirements.

Workload

Number of agents running on the system 5 Model class per agent Quantization (precision the model runs in) Context window per agent Deployment mode

Shared model (batched) One instance per agent

Capabilities

RAG + local vector database Speech-to-text (Whisper) Text-to-speech Vision / image input Image generation (SDXL) Fine-tuning (LoRA)

Requirements

Required security level

24/7 production uptime required

Estimated requirements

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VRAM (total)

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System RAM

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CPU cores / threads

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NVMe storage

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GPU recommendation

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Power

CPU class—

Inference stack—

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Estimated hardware budget

Show the math

AI Hardware Estimator

Workload

Capabilities

Requirements

Estimated requirements

Critical notes