GPU Comparison for AI Workloads
The hardware that runs models. Datacenter cards dominate training; consumer cards win for many small-model and dev workloads.
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| GPU | VRAM (GB) | FP16 TFLOPS | NVLink | Typical Model Fit | Typical Use | Approx Price (USD) |
|---|---|---|---|---|---|---|
| NVIDIA H100 80GB SXM | 80 | 989 | yes | 70B at 4-bit on one card; 70B at FP16 across 2; train 7B-13B comfortably | Datacenter training and high-volume inference | $30,000+ |
| NVIDIA H200 141GB | 141 | 989 | yes | 70B at FP16 on one card; 405B at 4-bit across 4 | Memory-bound inference for long context and large models | $35,000+ _status as of 2026-06, verify before citing_ |
| NVIDIA B200 192GB | 192 | 2,250 _unverified_ | yes | 405B at 4-bit on 2 cards; 70B at FP16 with room to spare | Frontier training and inference; shipping in volume through 2026 _status as of 2026-06, verify before citing_ | $40,000+ _unverified_ |
| NVIDIA A100 80GB SXM | 80 | 312 | yes | 70B at 4-bit; 13B at FP16 | Workhorse for training and inference; widely available on spot markets | $10,000-$15,000 |
| NVIDIA A100 40GB | 40 | 312 | yes | 13B at FP16; 30B at 4-bit | Older training and mid-size inference; common in academic clusters | $8,000-$12,000 |
| NVIDIA L40S | 48 | 362 | no | 13B-30B at FP16; 70B at 4-bit | Inference-first datacenter card; cheaper than H100 for serving small/mid models | $8,000-$11,000 |
| NVIDIA RTX 6000 Ada | 48 | 364 | no | 30B at FP16; 70B at 4-bit | Workstation training and dev; quiet enough for an office | $7,000-$8,500 |
| NVIDIA RTX 5090 | 32 | 419 _unverified_ | no | 13B at FP16; 70B at 4-bit (tight) | High-end consumer dev box; supply constrained through 2026 _status as of 2026-06, verify before citing_ | $2,000-$2,500 |
| NVIDIA RTX 4090 | 24 | 165 | no | 7B at FP16; 30B at 4-bit | Consumer dev workhorse; popular for fine-tuning small models | $1,800-$2,200 |
| NVIDIA RTX 3090 | 24 | 71 | yes | 7B at FP16; 30B at 4-bit | Used-market budget option; NVLink lets you pair two for 48GB | $700-$900 (used) |
| AMD MI300X | 192 | 1,307 | no (Infinity Fabric) | 70B at FP16 on one card; 405B at 4-bit on 2 | ROCm-based training and inference; main NVIDIA alternative at scale | $15,000-$20,000 _unverified_ |