Nvidia RTX 4500 Ada
Compact Ada Lovelace professional GPU for AI and 3D workflows.
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Frequently Asked Questions
Why choose the RTX 4500 Ada?
24GB GDDR6 with Ada Lovelace FP8 Tensor Cores. Compact professional GPU for AI development and rendering.
When is the RTX 4500 Ada not a good fit?
Workstation pricing. For inference, the L4 offers similar capabilities at much lower cost.
Are RTX 4500 Ada prices going up or down?
On-demand pricing has remained stable, averaging around $0.18/hr per GPU.
What size AI models can the RTX 4500 Ada run?
With 24GB of VRAM, the RTX 4500 Ada can typically run 7B to 13B models in FP16, or larger models in 4-bit quantized form.
How much VRAM does the RTX 4500 Ada have?
The RTX 4500 Ada has 24GB of VRAM. Multi-GPU setups increase total memory, but that memory is not automatically pooled across GPUs.
What is the RTX 4500 Ada's memory bandwidth?
The RTX 4500 Ada has 432 GB/s of memory bandwidth. Higher bandwidth helps with faster data transfer between GPU memory and compute cores.
What data types does the RTX 4500 Ada support?
The RTX 4500 Ada supports 6 precision formats. Training: BF16, FP16, TF32, FP32. Inference: FP8, INT8.
Does the RTX 4500 Ada support NVLink?
No. The RTX 4500 Ada 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
| GPU Memory | 24GB GDDR6 |
| Memory Interface | 192-bit |
| Memory Bandwidth | 432 GB/s |
| CUDA Cores | 7,680 |
| Tensor Cores | 240 |
| RT Cores | 60 |
| Single-Precision Performance | 39.6 TFLOPS |
| RT Core Performance | 91.6 TFLOPS |
| Tensor Performance | 634.0 TFLOPS |
| System Interface | PCIe 4.0 x16 |
| Power Consumption | Total board power: 210 W |
| Thermal Solution | Active |
| Form Factor | 4.4" H x 10.5" L, dual slot |
| Display Connectors | 4x DisplayPort 1.4a |
| Max Simultaneous Displays | 4x 4096 x 2160 @ 120 Hz |
| Encode/Decode Engines | 2x encode, 2x decode (with AV1 support) |
| VR Ready | Yes |
| Graphics APIs | DirectX 12, OpenGL 4.6, Vulkan 1.3 |
| Compute APIs | CUDA 12.2, OpenCL 3.0, DirectCompute |
| NVIDIA NVLink | No |
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