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NVIDIA GeForce RTX 3070 Ti

NVIDIA · RTX 30

NVIDIA GeForce RTX 3070 Ti

$300$599 MSRP

The RTX 3070 Ti is a solid used gaming card with GDDR6X memory for extra bandwidth. However, at only 8GB VRAM, it's severely limited for AI — barely enough for 7B models at Q4. For the same used price, the RTX 3060 12GB offers more VRAM (which matters more for AI than raw speed). Best for pure gaming on a budget.

Best ForBudget used gaming — faster than 3060 but less VRAM
VerdictGood used gaming card, but 8GB is not enough for AI in 2026.
AI
3/10
Gaming
6/10

Specifications

VRAM8GB GDDR6X
Memory Bandwidth608 GB/s
CUDA Cores6,144
Boost Clock1770 MHz
TDP290W
Power Connector2x 8-pin
Length267mm
Form FactorDual Slot
Release Year2021

AI Capabilities

Entry Level8GB VRAM

Limited to small models with heavy quantization. Fine for experimenting.

Can run (Q4 quantized)

Llama 3.1 8BMistral 7BStable Diffusion XLStable Diffusion 3.5 LargeCogVideoX-5BLTX VideoStable Video DiffusionAlphaFold 2ESM-2 3BscGPTRFdiffusionFine-tune Llama 8BTrain SDXL LoRA

Tight fit (may need CPU offload)

Qwen 2.5 14B (9GB Q4)FLUX.1 Dev (10GB Q4)Mochi 1 (10GB Q4)Wan Video 14B (11GB Q4)ESMFold (ESM-2 15B) (10GB Q4)

Recommended system RAM for AI: 16GB+ (2x GPU VRAM for model overflow)

Performance Estimates

Estimated tokens/sec for LLM inference based on 608 GB/s memory bandwidth — not hardware benchmarks. Methodology · What is Q4/Q8?

Llama 3.1 8B8B
Q8~39-49 tok/sFast
Qwen 2.5 14B14B
Offload~1-3 tok/sVery slow
Mistral 7B7B
Q8~45-55 tok/sFast

Pros

  • +Fast for 1080p/1440p gaming
  • +GDDR6X bandwidth
  • +Cheap used

Cons

  • -Only 8GB VRAM
  • -Not viable for AI
  • -High power draw for the performance
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