← Back to GPUs
NVIDIA GeForce RTX 4060 Ti 8GB

NVIDIA · RTX 40

NVIDIA GeForce RTX 4060 Ti 8GB

$370$399 MSRP

The RTX 4060 Ti 8GB offers good 1080p/1440p gaming performance with current-gen Ada Lovelace features including DLSS 3. However, the 8GB VRAM is a significant limitation in 2026 for both demanding games and AI workloads. The 16GB variant costs only -80 more and doubles the VRAM — making it a far better choice for anyone considering AI use. The 8GB model is gaming-only.

Best For1080p/1440p gaming only
VerdictSpend the extra -80 for the 16GB version — 8GB is not enough in 2026.
AI
3/10
Gaming
7/10

Specifications

VRAM8GB GDDR6
Memory Bandwidth288 GB/s
CUDA Cores4,352
Boost Clock2535 MHz
TDP160W
Power Connector1x 8-pin
Length240mm
Form FactorDual Slot
Release Year2023

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 288 GB/s memory bandwidth — not hardware benchmarks. Methodology · What is Q4/Q8?

Llama 3.1 8B8B
Q8~21-26 tok/sUsable
Qwen 2.5 14B14B
Offload~1-3 tok/sVery slow
Mistral 7B7B
Q8~24-30 tok/sUsable

Pros

  • +Good 1080p/1440p card
  • +Low power
  • +DLSS 3 support

Cons

  • -Only 8GB VRAM
  • -128-bit bus
  • -Poor value vs 4060 Ti 16GB
gamingbudget

Where to Buy

Best Buy→Newegg→

Will It Run?

Llama 3.1 8B8B
Q8
Qwen 2.5 14B14B
Offload
Mistral 7B7B
Q8
FLUX.1 Dev12B
Offload
Stable Diffusion XL6.6B
Q8
Stable Diffusion 3.5 Large8B
Q4
CogVideoX-5B5B
Q4
Mochi 110B
Offload
Compare with Other GPUsBuild a PC with This GPUQuantization Guide