Is the NVIDIA GeForce RTX 5080 good for local AI?

The NVIDIA GeForce RTX 5080 is a solid choice for local AI. With 16GB of GDDR7 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 5080?

The NVIDIA GeForce RTX 5080 has 960 GB/s of memory bandwidth, which governs inference speed (tokens per second) when running local LLMs.

Pricing & Availability

Current Estimate

$1,349.99

SOLD OUT

Last Verified: 2026-05-04

What Can It Run?

See all compatible Ollama models →

NVIDIAProsumer

Name: NVIDIA GeForce RTX 5080
Brand: NVIDIA
SKU: B0DTYJQQD2
Price: 1349.99 USD
Availability: OutOfStock

The Blackwell prosumer sweet spot. GDDR7 bandwidth delivers exceptional tokens-per-second for 30B+ parameter models in a single-GPU configuration.

Specification	Value	AI Impact
VRAM Capacity	16 GB GDDR7	Determines maximum model size (parameters).
Memory Bandwidth	960 GB/s	Governs tokens per second (inference speed).
AI Performance	1801 TOPs	Raw throughput for FP8/INT8 matrix operations.
Power Draw (TDP)	360 W	Thermal design & PSU overhead requirements.
VRAM Type	GDDR7	Memory generation affects bandwidth ceiling.

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

Savings Analysis

Currently $184.01 below the 90-day peak.

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