How much VRAM does the NVIDIA RTX 4500 Ada have?

The NVIDIA RTX 4500 Ada has 24 GB of GDDR6 with 432 GB/s memory bandwidth.

What is the NVIDIA RTX 4500 Ada best for?

With 24 GB of VRAM, the NVIDIA RTX 4500 Ada is well-suited for running 7B–32B models at Q4 with room for context, making it a great all-rounder for local LLM inference.

What LLMs can the NVIDIA RTX 4500 Ada run locally?

The NVIDIA RTX 4500 Ada can run 42 of the 70 open-weight models tracked by CanItRun natively in VRAM at 8k context. Top options include: Llama 3.1 8B Instruct at BF16, Llama 3.2 3B Instruct at FP32, Llama 3.2 1B Instruct at FP32.

Can the NVIDIA RTX 4500 Ada run Llama 3.3 70B Instruct?

The NVIDIA RTX 4500 Ada can run Llama 3.3 70B Instruct with CPU offload at NVFP4 quantization, but inference will be slower than native VRAM execution.

Can the NVIDIA RTX 4500 Ada run Qwen 3.6 27B?

Yes. The NVIDIA RTX 4500 Ada runs Qwen 3.6 27B natively in VRAM at NVFP4 quantization, achieving approximately 32 tokens per second.

Can the NVIDIA RTX 4500 Ada run Llama 3.1 8B Instruct?

Yes. The NVIDIA RTX 4500 Ada runs Llama 3.1 8B Instruct natively in VRAM at BF16 quantization, achieving approximately 27 tokens per second.

NVIDIA RTX 4500 Ada

The NVIDIA RTX 4500 Ada has 24 GB VRAM and 432 GB/s memory bandwidth. It can run 42 of our 70 tracked models natively in VRAM at 8k context.

The NVIDIA RTX 4500 Ada is the mid-range Ada Lovelace workstation GPU with 24GB ECC GDDR6 on a 192-bit bus at 432 GB/s. With 7,680 CUDA cores it balances professional reliability with meaningful LLM inference headroom — fitting 13B models at Q8_0 and 22B–27B models at Q4_K_M entirely in VRAM. The dual-slot blower cooler allows dense multi-card workstation configurations without sacrificing airflow.

The NVIDIA RTX 4500 Ada is a professional workstation NVIDIA GPU based on the Ada Lovelace architecture. Released in 2023. It features 24 GB of GDDR6 at 432 GB/s memory bandwidth. Full llama.cpp and Ollama support out of the box. CUDA 12.x recommended; driver ≥ 525 required.

For local LLM inference, this GPU runs 42 of the 70 models we track natively in VRAM at 8K context. The largest model it handles in VRAM is Mixtral 8x7B Instruct v0.1 (112 t/s at Q2_K). It comfortably runs models up to ~27-32B parameters at Q4. Larger models need CPU offload or multi-GPU. On Qwen 3.6 27B, it achieves approximately 32 tokens per second at NVFP4 quantization. An additional 11 models fit with CPU offload — slower but usable.

NVIDIA's CUDA ecosystem provides broad out-of-the-box support across llama.cpp, Ollama, vLLM, and TensorRT-LLM. Among workstation GPUs, it sits above Intel Arc Pro B60 24GB and Apple M2 Max (32GB) in performance, but below Intel Arc Pro B70 24GB.

Vendor	NVIDIA
Architecture	Ada Lovelace
VRAM	24 GB
Memory type	GDDR6
Memory bandwidth	432 GB/s
Compute backend	CUDA
Tier	Workstation
Released	2023
Models (native)	42 / 70
Models (offload)	11 / 70

Software: Full llama.cpp and Ollama support out of the box. CUDA 12.x recommended; driver ≥ 525 required.

Models this GPU runs natively in VRAM (42)

Models that fit with CPU offload (11)

These use system RAM for layers that don't fit in VRAM — expect much slower inference.

Too large for this GPU (17)

Frequently asked questions

How much VRAM does the NVIDIA RTX 4500 Ada have?: The NVIDIA RTX 4500 Ada has 24 GB of GDDR6 with 432 GB/s memory bandwidth.
What is the NVIDIA RTX 4500 Ada best for?: With 24 GB of VRAM, the NVIDIA RTX 4500 Ada is well-suited for running 7B–32B models at Q4 with room for context, making it a great all-rounder for local LLM inference.
What LLMs can the NVIDIA RTX 4500 Ada run locally?: The NVIDIA RTX 4500 Ada can run 42 of the 70 open-weight models tracked by CanItRun natively in VRAM at 8k context. Top options include: Llama 3.1 8B Instruct at BF16, Llama 3.2 3B Instruct at FP32, Llama 3.2 1B Instruct at FP32.
Can the NVIDIA RTX 4500 Ada run Llama 3.3 70B Instruct?: The NVIDIA RTX 4500 Ada can run Llama 3.3 70B Instruct with CPU offload at NVFP4 quantization, but inference will be slower than native VRAM execution.
Can the NVIDIA RTX 4500 Ada run Qwen 3.6 27B?: Yes. The NVIDIA RTX 4500 Ada runs Qwen 3.6 27B natively in VRAM at NVFP4 quantization, achieving approximately 32 tokens per second.
Can the NVIDIA RTX 4500 Ada run Llama 3.1 8B Instruct?: Yes. The NVIDIA RTX 4500 Ada runs Llama 3.1 8B Instruct natively in VRAM at BF16 quantization, achieving approximately 27 tokens per second.