GPU Comparison Engine
Select any two GPUs for a side-by-side evaluation of VRAM capacity, memory bandwidth, TFLOPS throughput, and current spot pricing 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 per 1M Tokens = (Hourly GPU Cost) / (Tokens/Second × 1,000,000) Lower values indicate better economics. Throughput Index = Effective Tokens/Second (vLLM FP8, Llama 70B) Measured end-to-end output throughput including KV-cache retrieval. Example: H100 SXM5 at $1.89/hr delivers ~120 tok/s → $1.89 / (120 × 1M) = $0.000158 per 1M tokens
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 | NVIDIA H100 SXM5 | 80 GB | FP8 | NVIDIA H200 SXM5 or NVIDIA B200 Blackwell |
| 30B LLM Inference | NVIDIA L40S | 48 GB | FP8 | NVIDIA A100 80GB SXM4 |
| 7B LLM Inference | NVIDIA GeForce RTX 4090 | 24 GB | FP16 | NVIDIA GeForce RTX 4090 |
| Fine-Tuning (LoRA) | NVIDIA A100 80GB SXM4 | 80 GB | FP16 | NVIDIA H100 SXM5 |
| Pre-Training | NVIDIA B200 Blackwell | 192 GB | FP8 | NVIDIA B200 Blackwell |
| Vision Model (72B) | NVIDIA H200 SXM5 | 141 GB | FP8 | NVIDIA B200 Blackwell |
Compare for a Workload
Configure a workload to see how each selected GPU performs. Calculations are deterministic estimates based on architectural specifications.
Configure workload parameters above and click "Calculate VRAM Requirement" to see results.
Workload Suitability Profiles
Interconnect and RDMA availability for distributed workloads
Memory bandwidth and tensor-core throughput trade-offs
Storage volume costs and SLA guarantees for persistent APIs
Interruptible risk profile vs dedicated enterprise reliability
Consumer-grade pricing vs enterprise-grade reliability
192GB Blackwell vs 141GB HBM3e memory subsystems
Spot pricing savings vs guaranteed uptime SLAs
Preemption risk and egress bandwidth charges per workload
All GPU Comparisons
Browse all verified head-to-head comparisons between cloud providers, hardware configurations, and LLM APIs.
Bare-Metal Root Access vs Serverless Containers
Managed Cloud Pods vs Decentralized Spot Marketplace
On-Demand Flexibility vs Enterprise Multi-Node Contracts
Pre-Installed ML Stack vs Micro-Instance Agility
Regulated Private Cloud vs European Sovereign Compute
Single-Operator Hardware vs Hybrid Marketplace
The $6.88/hr Hyperscaler Premium
Hyperscaler TPU/GPU Fleet vs Dedicated AI Cloud
Memory Bandwidth & 70B Model Serving Shootout
FP4 Throughput & Liquid-Cooled Infrastructure
Enterprise Deployment Cost Analysis
HBM3e Capacity vs FP4 Compute
Enterprise Server vs Consumer Workstation
Consumer Flagship vs Enterprise Ada for Inference
NVIDIA CUDA Dominance vs AMD Memory Capacity
Hyperscaler Networking Comparison
Enterprise vs Ultra-Low Latency LLM APIs
Specs, Pricing & Verdict (2026)
Specs, Pricing & Verdict (2026)
Specs, Pricing & Verdict (2026)
Specs, Pricing & Verdict (2026)
Specs, Pricing & Verdict (2026)