Hardware Detail GPUPrevious gen

NVIDIA RTX 4070 Ti SUPER 16GB

NVIDIA RTX 4070 Ti SUPER 16GB profile for local AI model planning.

NVIDIANVIDIA RTX 402024-0116GB VRAM

AI Memory

16GB VRAM

Runtime headroom is estimated.

LLM Score

prosumer

Power

220W

Average AI load

Value Score

7.5

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$799

Build cost$1,000

UPS / accessories$180

5-year estimate$2,570

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

DeepSeek · Q4_K_M

Microsoft · Q4_K_M

Z.ai · Q4_K_M

MiniMax · FP8

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

Google · Q4_0

Black Forest Labs · FP16

Alibaba · FP16

Best For

mid-range 14B1080p gaming + AI

NVIDIA RTX 4070 Ti SUPER 16GB profile for local AI model planning.

Source Confidence

SpecsEstimated

PriceEstimated

PowerEstimated

PerformanceEstimated

Updated2026-06-18

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