GPU Resource Calculator

Estimate GPU requirements for inference workloads

1. Latency Requirements

Desired Overall Latency Range (ms)

100 – 250

2. Throughput Requirements

Peak Requests Per Second (RPS) Expected peak requests per second

Average Tokens Per Request Average number of tokens generated per request

Maximum Tokens Per Request Maximum number of tokens that can be generated per request

Traffic Pattern

3. Model Parameters

Model Type Select the type of model you're deploying

Model Size (Billions of Parameters) e.g., 7 for 7B model, 70 for 70B model

Precision Numerical precision for model weights

TTS Model Size Select TTS model size category

TTS Precision Precision affects audio quality

LLM Component Size Text processing component

SNAC Component Size Audio generation component

LLM Precision Text component precision

SNAC Precision Audio component precision

Vision Model Size Select vision model size category

Vision Precision Precision affects image processing quality

Multimodal Model Size Select multimodal model size category

Multimodal Precision Precision affects text and vision processing

Need help with complex deployments, cost optimization, or performance tuning (TTFT, inter-token latency, throughput)? Let's discuss your requirements.

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Frequently Asked Questions

How accurate is this GPU calculator?

This calculator provides estimates based on typical GPU performance characteristics. Real-world performance may vary based on your specific software stack, model architecture, and deployment environment. Always test with your actual workload before making hardware decisions.

Which cloud providers are supported?

The calculator supports AWS, Google Cloud Platform (GCP), and Microsoft Azure with their latest GPU instances including T4, A10G, V100, A100, and H100 GPUs.

What model types can I calculate for?

The calculator supports Large Language Models (LLM), Text-to-Speech (TTS), Vision Models, Multimodal Models, and TTS with LLM + SNAC configurations.

How do I optimize GPU costs?

Consider using spot instances for non-critical workloads, reserved instances for predictable workloads, and auto-scaling based on traffic patterns. The calculator shows cost comparisons across different pricing models.