Hardware Detail GPUCurrent

NVIDIA RTX 5080 16GB

NVIDIA RTX 5080 16GB profile for local AI model planning.

NVIDIANVIDIA RTX 502025-0116GB VRAM
AI Memory
16GB VRAM
Runtime headroom is estimated.
LLM Score
88
server
Power
285W
Average AI load
Value Score
8.1
Planner signal

Task Fit

Vision89

Strong fit for vision workloads in the current planner.

Image generation89

Strong fit for image generation workloads in the current planner.

Chat80

Usable for chat, with tradeoffs around speed, memory, or runtime maturity.

Code78

Usable for code, with tradeoffs around speed, memory, or runtime maturity.

RAG78

Usable for rag, with tradeoffs around speed, memory, or runtime maturity.

Agent75

Usable for agent, with tradeoffs around speed, memory, or runtime maturity.

Video generation74

Usable for video generation, with tradeoffs around speed, memory, or runtime maturity.

Embedding62

Usable for embedding, with tradeoffs around speed, memory, or runtime maturity.

Voice59

Not a primary fit for voice in the current hardware pool.

Runtime Support

ollamaExcellent
llama.cppExcellent
LM StudioExcellent
vllmExcellent
sglanggood
ComfyUIExcellent
diffusersExcellent

Specs

CPU cores—
GPU cores—
System RAM—
Unified memory—
VRAM16GB
Usable model memory16GB
CUDASupported
MetalNo
ROCmNo

Cost and Ops

Hardware price$999
Build cost$1,100
UPS / accessories$200
5-year estimate$3,098
Expected lifespan6 years
Residual value18%
Build requiredYes

Models This Hardware Can Run

Estimated from default model artifacts, VRAM, unified memory, and recommended RAM.

38 compatible defaults
DeepSeek-R1-Distill 32B
Compatible

DeepSeek · Q4_K_M

48GB recommended
Phi-4 14B
Compatible

Microsoft · Q4_K_M

24GB recommended
GLM 4.7 Flash
Compatible

Z.ai · Q4_K_M

32GB recommended
MiniMax M2.7
Compatible

MiniMax · FP8

32GB recommended
Gemma 4 31B It QAT W4a16 Ct
Compatible

Google · Q4_0

32GB recommended
Gemma 4 12B It QAT W4a16 Ct
Tight

Google · Q4_0

16GB recommended
Gemma 4 E4B It QAT Q4 0 GGUF
Compatible

Google · Q4_0

12GB recommended
FLUX.2 Klein 4B
Compatible

Black Forest Labs · FP16

40GB recommended
Wan2.2 TI2V 5B
Compatible

Alibaba · FP16

40GB recommended

Best For

fast 14Bimage genCUDA workflows

NVIDIA RTX 5080 16GB profile for local AI model planning.

Source Confidence

SpecsEstimated
PriceEstimated
PowerEstimated
PerformanceEstimated
Updated2026-06-18

Similar Hardware

NVIDIA RTX 5090 32GB
NVIDIA · 32GB VRAM · $4,788 / 5y

NVIDIA RTX 5090 32GB profile for local AI model planning.

NVIDIA RTX 5070 Ti 16GB
NVIDIA · 16GB VRAM · $2,590 / 5y

NVIDIA RTX 5070 Ti 16GB profile for local AI model planning.

NVIDIA RTX 4090 24GB
NVIDIA · 24GB VRAM · $4,002 / 5y

NVIDIA RTX 4090 24GB profile for local AI model planning.