WORKLOAD TRADE-OFF MATRIX

GPU Comparison Engine

Name: GPU Comparison Matrix — Live Cloud Pricing Data
Creator: OpenGPU Radar

Select any two GPUs for a side-by-side evaluation of specs, live pricing, and cost-efficiency ratios across workload profiles.

Methodology: How GPU Comparison Works

OpenGPU Radar compares GPU instances across four dimensions: Price, Performance, Memory, and Availability. Pricing data is aggregated from Spheron, RunPod, Vast.ai, and Lambda Labs APIs, refreshed every 6 hours.

Cost Efficiency Ratio = (Baseline Spot Price) / (GPU Spot Price)\n" "A ratio > 1.0 means the GPU is cheaper than the baseline.\n\n" "Performance Index = (FP8 TFLOPS) × (Memory Bandwidth GB/s) / 1000\n" "Higher scores indicate better compute throughput per dollar.\n\n" "Example: H100 SXM5 has FP8 = 1,979 TFLOPS, BW = 3.35 TB/s\n" "Performance Index = 1979 × 3350 / 1000 ≈ 6,630"

Price Data Source

Cloud Provider APIs

Refresh Rate

Every 6 hours

Baseline GPU

RTX 4090 ($0.34/hr)

Benchmarks

vLLM FP8 inference

Hardware Requirements by Workload

Minimum VRAM and GPU specs required for each workload category. Determined via entity-graph VRAM calculations.

Workload	Min GPU	Min VRAM	Precision	Recommended GPU
70B LLM Inference	H100 SXM5	80 GB	FP8	H200 or B200
30B LLM Inference	L40S	48 GB	FP8	A100 80GB
7B LLM Inference	RTX 4090	24 GB	FP16	RTX 4090
Fine-Tuning (LoRA)	A100 80GB	80 GB	FP16	H100 × 2
Pre-Training	B200	192 GB	FP8	B200 × 8
Vision Model (72B)	H200	141 GB	FP8	B200