Hardware Sizing & Memory Planning

VRAM & Memory Footprint Calculator

Calculate exact GPU memory requirements for model weights, KV cache at scale, and activation overhead. Matches your workload footprint against data center silicon and cloud instance families.

Model Architecture & Precision

Select a target model preset or specify custom architecture parameters.

Model ArchitecturePreset: Llama 3.1 70B

Weight Quantization / Precision

KV Cache Precision

Workload Concurrency & Context

Adjust request context length and concurrent batch size.

Context Length per Request (32,768 tokens)

Concurrent Requests / Batch Size (16)

Activation & Allocation Buffer (20%)

Total Required VRAM

176.4GB

Model Weights

65.75 GB

KV Cache (16 x 32k)

80 GB

Activations & CUDA Context

30.65 GB

Recommended Hardware

Optimal silicon & multi-GPU placements for this workload footprint.

4xL4 / L40S (Ada Lovelace)

192 GB (92% VRAM)

Available on:AWS G6 AWS G6e Google G2

1xCloud TPU v7 (Ironwood)

192 GB (92% VRAM)

Available on:Google Cloud TPU v7 (Ironwood)

2xTrainium2

192 GB (92% VRAM)

Available on:AWS Trn2

2xBlueField DPU (BlueField-3 / BlueField-4)

256 GB (69% VRAM)

1xInstinct MI300X / MI325X

256 GB (69% VRAM)

2xGaudi 3

256 GB (69% VRAM)

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