Is the NVIDIA GeForce RTX 4080 Super good for local AI?

The NVIDIA GeForce RTX 4080 Super is a solid choice for local AI. With 16GB of GDDR6X VRAM, it is ideal for 8B–30B models at Q4_K_M quantization via Ollama.

What is the memory bandwidth of the NVIDIA GeForce RTX 4080 Super?

The NVIDIA GeForce RTX 4080 Super has 736 GB/s of memory bandwidth, which governs inference speed (tokens per second) when running local LLMs.

Pricing & Availability

Current Estimate

$7.98

IN STOCK

Check Price on Amazon

Last Verified: 2026-08-02

🤖

What Can It Run?

See all compatible Ollama models →

NVIDIAProsumer

NVIDIA GeForce RTX 4080 Super

Reliable 16GB VRAM performer. Great for high-speed inference on mid-sized language models and large-scale image generation.

Technical Datasheet

Specification	Value	AI Impact
VRAM Capacity	16 GB GDDR6X	Determines maximum model size (parameters).
Memory Bandwidth	736 GB/s	Governs tokens per second (inference speed).
AI Performance	836 TOPs	Raw throughput for FP8/INT8 matrix operations.
Power Draw (TDP)	320 W	Thermal design & PSU overhead requirements.
VRAM Type	GDDR6X	Memory generation affects bandwidth ceiling.

AI Model Compatibility

Llama 3.1 8B (Q4_K_M)

✓ PERFECT — Lightning Fast

Mistral NeMo 12B (Q4_K_M)

✓ COMPATIBLE — Smooth

DeepSeek R1 32B (Q4_K_M)

⚠ TIGHT — Lower quant needed

Llama 3.3 70B (Q4_K_M)

✗ Needs multi-GPU or CPU offload

See all 16GB-compatible models →

Price History

Savings Analysis

Currently $975.01 below the 90-day peak.

Market Alert

HISTORIC LOW PRICE

As an Amazon Associate, I earn from qualifying purchases.