Key Specifications
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Frequently Asked Questions
Why choose the GT 730?
2GB DDR3/GDDR5. Basic display adapter at minimal cost.
When is the GT 730 not a good fit?
No meaningful compute capability. Only viable as a basic display adapter.
Are GT 730 prices going up or down?
On-demand pricing has decreased by about 6% since May 2025, dropping from $0.07 to $0.06/hr per GPU.
What size AI models can the GT 730 run?
With 2GB of VRAM, the GT 730 is mainly limited to small quantized models and lightweight GPU workloads.
How much VRAM does the GT 730 have?
The GT 730 has 2GB of VRAM. Multi-GPU setups increase total memory, but that memory is not automatically pooled across GPUs.
What is the GT 730's memory bandwidth?
The GT 730 has 29 GB/s of memory bandwidth. Higher bandwidth helps with faster data transfer between GPU memory and compute cores.
What data types does the GT 730 support?
The GT 730 supports 1 precision formats. Training: FP32.
Does the GT 730 support NVLink?
No. The GT 730 is a PCIe-only GPU with no NVLink, so it is better suited to single-GPU inference and smaller-scale workloads than large distributed training jobs.
Technical Specifications
| Feature | Specification |
|---|---|
| GPU Microarchitecture | Kepler |
| CUDA Cores | 384 |
| TDP | 23W |
| Memory Bus Width | 64 bit |
| Memory Clock Speed | 1600 MHz |
| Memory Bandwidth | 28.8 GB/s |
| Memory | 2GB DDR3 |
| System Interface | PCI Express Gen 2 x 16 |
| GPU Clock speed | 902 MHz |
| CUDA Compute Capability | 3.5 |
| FP32 (float) | 692.7 GFLOPS |
| FP64 (double) | 28.86 GFLOPS |
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