Open-Weight LLM Resource & Deployment Estimator

Model & Execution Config

Model Parameter Scale: 70 Billion

Weight Precision: INT8 (1 byte/param)

Execution Mode: Inference

Target GPU Hardware: NVIDIA H100 SXM (80GB)

Context Window (Tokens): 4,096

Concurrency / Batch Size: 8

KV Cache Precision: FP16 (2 bytes)

Total VRAM Required
0 GB
Breakdown dynamically calculated

Min GPUs Required

1 Node

0 GB total VRAM available

Estimated Latency

0 ms/tok

0 tok/s system throughput

Est. Monthly Cloud Cost

$0 / mo

$0.00 / hr per node

VRAM Footprint Breakdown vs Single Node Capacity

0% Allocation

Model Weights (0 GB)

KV Cache (0 GB)

Activations (0 GB)

Gradients & Optimizer (0 GB)

Infrastructure Deployment Blueprint

# Generating spec...