Size the Day!

Enter your LLM parameters below to get tailored hardware recommendations for optimal performance.

LLM Sizing Parameters

Choose from popular Hugging Face models.

Maximum acceptable response time in milliseconds.

The number of inputs processed in one batch.

The number of concurrent requests the system needs to handle.

Select the desired floating point or binary precision. FP8 requires compatible hardware.

Select the primary deep learning framework you plan to use.

Mention any other relevant factors influencing hardware needs (quantization, libraries, etc.).