Compare / GPU
COMPARE COMPUTE.
Choose up to three GPUs. Suitability depends on the workload — use the reference model to see how each one fits.
Compare / Up to 3 GPUs
3 selected
Precision
Workload
Model fit uses an estimated 158.0 GB at 8K context, batch 1. Blue marks the strongest value in a row — suitability depends on your workload, so there is no universal “best GPU”.
| Spec | AMDMI300X | NVIDIARTX 4090 | NVIDIAH100 SXM |
|---|---|---|---|
| VRAM | 192 GB | 24 GB | 80 GB |
| Memory type | HBM3 | GDDR6X | HBM3 |
| Memory bandwidth | 5.3 TB/s | 1.01 TB/s | 3.35 TB/s |
| GPU class | Datacenter | Consumer | Datacenter |
| Architecture | CDNA 3 | Ada Lovelace | Hopper |
| Workload type | InferenceFine-tuningTraining | InferenceFine-tuningTraining | InferenceFine-tuningTraining |
| Model fit · Llama 70B FP16 | 1 × MI300X34.0 GB headroom | 8 × RTX 409034.0 GB headroom | 4 × H100 SXM162.0 GB headroom |
| Power | 750 W | 450 W | 700 W |
| Interconnect | Infinity Fabric | PCIe 4.0 | NVLink 4 · 900 GB/s |
| Typical use | High-capacity inference and training on ROCm | Developer workstation inference and small-model fine-tuning | Large-scale training and high-throughput serving |
AMD
MI300X- VRAM
- 192 GB
- Memory type
- HBM3
- Memory bandwidth
- 5.3 TB/s
- GPU class
- Datacenter
- Architecture
- CDNA 3
- Workload type
- InferenceFine-tuningTraining
- Model fit · Llama 70B FP16
- 1 × MI300X34.0 GB headroom
- Power
- 750 W
- Interconnect
- Infinity Fabric
- Typical use
- High-capacity inference and training on ROCm
NVIDIA
RTX 4090- VRAM
- 24 GB
- Memory type
- GDDR6X
- Memory bandwidth
- 1.01 TB/s
- GPU class
- Consumer
- Architecture
- Ada Lovelace
- Workload type
- InferenceFine-tuningTraining
- Model fit · Llama 70B FP16
- 8 × RTX 409034.0 GB headroom
- Power
- 450 W
- Interconnect
- PCIe 4.0
- Typical use
- Developer workstation inference and small-model fine-tuning
NVIDIA
H100 SXM- VRAM
- 80 GB
- Memory type
- HBM3
- Memory bandwidth
- 3.35 TB/s
- GPU class
- Datacenter
- Architecture
- Hopper
- Workload type
- InferenceFine-tuningTraining
- Model fit · Llama 70B FP16
- 4 × H100 SXM162.0 GB headroom
- Power
- 700 W
- Interconnect
- NVLink 4 · 900 GB/s
- Typical use
- Large-scale training and high-throughput serving