๐Ÿ“š More on this topic: Used RTX 3090 Buying Guide ยท GPU Buying Guide ยท Best GPU Under $300 ยท Best GPU Under $500

Used GPUs are the best value for local AI. Cards that cost $1,500+ at launch now sell for $700. The catch: you need to know which cards are worth buying, what fair prices look like, and how to avoid scams.

This guide covers every used GPU worth considering for local AI in 2026, with current market prices and buying advice.


Why Buy Used for Local AI?

The math is simple:

CardNew Price (if available)Used PriceSavings
RTX 3090$1,400+$700-85040-50%
RTX 3080$700+$350-400~50%
RTX 3060 12GB$280-330$170-22030-40%

For AI workloads, a used RTX 3090 at $750 beats a new RTX 4070 Ti Super at $800 because VRAM matters more than architecture generation. You’re buying the memory, not the gaming performance.

Used GPU Risks

Real risks:

  • Dead on arrival (DOA) โ€” card doesn’t work at all
  • Failing VRAM โ€” artifacts, crashes under load
  • Damaged PCB โ€” previous owner abuse
  • Fake cards โ€” counterfeit GPUs with wrong specs

Overblown risks:

  • “Mining cards are bad” โ€” properly maintained mining cards often have better thermal paste than gaming cards
  • “Old cards die soon” โ€” silicon doesn’t wear out from use; heat damage is the real concern

The Used GPU Tier List for AI

S-Tier: Best Value

GPUVRAMUsed PriceWhy
RTX 309024GB$700-850Best VRAM/dollar for 24GB
RTX 3060 12GB12GB$170-220Budget king, 14B capable

A-Tier: Good Options

GPUVRAMUsed PriceWhy
RTX 3080 10GB10GB$350-400Fast, but VRAM-limited
RTX 3080 Ti12GB$450-5503080 speed + 12GB VRAM
RTX A400016GB$400-500Workstation, quieter, 16GB

B-Tier: Situational

GPUVRAMUsed PriceWhy
RTX 30708GB$220-280Only if under $200
RX 6800 XT16GB$300-380AMD’s 16GB option
Tesla P4024GB$200-250Cheap 24GB, no display out

Avoid for AI

GPUVRAMWhy Skip
RTX 3070 Ti8GBSame VRAM as 3070, higher price
RTX 3060 Ti8GB8GB VRAM, worse than 3060 12GB
RTX 2080 Ti11GBOlder, not much cheaper than 3080
GTX 1080 Ti11GBToo old, poor software support

RTX 3090 โ€” The Used AI Champion

The RTX 3090 is the best used GPU for local AI. Period. Nothing else offers 24GB VRAM at this price point.

SpecRTX 3090
VRAM24GB GDDR6X
Memory Bandwidth936 GB/s
CUDA Cores10,496
TDP350W
Used Price$700-850

What You Can Run

ModelPerformance
Llama 3.1 8B Q4~87-111 tok/s
Qwen 2.5 14B Q4~45-55 tok/s
Qwen 2.5 32B Q4~35-42 tok/s
DeepSeek R1 Distill 32B Q4~35-40 tok/s
Llama 3.3 70B Q3~12-18 tok/s (offload)
Mixtral 8x7B Q4~25-30 tok/s
Flux (FP16)Full quality

Fair Prices (February 2026)

ConditionPrice Range
Excellent (like new, box)$850-950
Good (clean, tested)$750-850
Fair (works, cosmetic wear)$650-750
Questionable (untested, “sold as is”)Avoid

What to Look For

Good signs:

  • Founders Edition or reputable AIB (EVGA, ASUS, MSI)
  • Clear photos of actual card
  • Seller mentions testing under load
  • Original box and accessories

Red flags:

  • “Sold as is, no returns”
  • Multiple identical cards (mining farm liquidation)
  • Price significantly below market
  • New seller account with no history

For complete 3090 buying guidance, see our Used RTX 3090 Buying Guide.


RTX 3080 10GB โ€” Speed Over VRAM

The RTX 3080 10GB delivers excellent performance for 7B-8B models but the 10GB VRAM limits larger workloads.

SpecRTX 3080 10GB
VRAM10GB GDDR6X
Memory Bandwidth760 GB/s
CUDA Cores8704
TDP320W
Used Price$350-400

What You Can Run

ModelPerformance
Llama 3.1 8B Q4~70-85 tok/s
Qwen 2.5 14B Q4~35-42 tok/s (tight)
Mistral 7B Q4~75-90 tok/s
32B modelsWon’t fit

Fair Prices

ConditionPrice Range
Excellent$400-450
Good$350-400
Fair$300-350

Buy If:

  • You primarily run 7B-8B models
  • Speed matters more than model size
  • Budget is $400 or less
  • You’re okay with 10GB VRAM ceiling

RTX 3080 Ti โ€” The Balanced Option

The RTX 3080 Ti adds 2GB VRAM over the 3080, hitting 12GB. That extra memory opens up 14B models with more headroom.

SpecRTX 3080 Ti
VRAM12GB GDDR6X
Memory Bandwidth912 GB/s
CUDA Cores10,240
TDP350W
Used Price$450-550

Why Consider It

The 3080 Ti sits in an awkward middle ground:

  • Faster than 3060 12GB (same VRAM)
  • Slower than 3090 (half the VRAM)
  • More VRAM than 3080 10GB

Buy if: You find one under $500 and want 12GB with fast bandwidth.

Skip if: You can stretch to $700+ for a 3090.


RTX 3060 12GB โ€” Budget King

The RTX 3060 12GB offers 12GB VRAM for under $200 used. It’s slower than everything else on this list, but the price-per-VRAM is unmatched.

SpecRTX 3060 12GB
VRAM12GB GDDR6
Memory Bandwidth360 GB/s
CUDA Cores3584
TDP170W
Used Price$170-220

What You Can Run

ModelPerformance
Llama 3.1 8B Q4~38-42 tok/s
Qwen 2.5 14B Q4~18-22 tok/s
Mistral 7B Q4~40-45 tok/s
SDXL~12-15 sec

Fair Prices

ConditionPrice Range
Excellent$200-240
Good$170-200
Fair$140-170

Why It Wins on Value

CardVRAMPrice$/GB
RTX 3060 12GB12GB$185$15.42
RTX 3080 10GB10GB$375$37.50
RTX 309024GB$775$32.29

The 3060 12GB has the best VRAM-per-dollar of any card on the market.


AMD Options โ€” Worth Considering

AMD GPUs use ROCm instead of CUDA. Support has improved, but expect more setup hassle.

RX 6800 XT โ€” 16GB for Cheap

SpecRX 6800 XT
VRAM16GB GDDR6
Memory Bandwidth512 GB/s
Stream Processors4608
TDP300W
Used Price$300-380

16GB VRAM for ~$350 is compelling. The catch:

# ROCm setup may require
HSA_OVERRIDE_GFX_VERSION=10.3.0 ollama serve

Buy if: You’re comfortable with Linux and ROCm troubleshooting, and want 16GB cheaply.

RX 6900 XT โ€” More Power

SpecRX 6900 XT
VRAM16GB GDDR6
Memory Bandwidth512 GB/s
Stream Processors5120
Used Price$350-450

Faster than 6800 XT, same VRAM. Worth the premium if you find one at a good price.


Tesla P40 โ€” The Weird Budget Option

The Tesla P40 is a datacenter card with 24GB VRAM for ~$200. It’s not for everyone.

SpecTesla P40
VRAM24GB GDDR5X
Memory Bandwidth346 GB/s
CUDA Cores3840
TDP250W
Used Price$180-250

Caveats

  • No display output (headless only)
  • Passive cooling (needs case airflow or aftermarket cooler)
  • Older Pascal architecture
  • Slower than RTX 30-series

When It Makes Sense

  • You have a second GPU for display
  • Your case has good airflow
  • 24GB VRAM at $200 outweighs the hassle
  • You’re okay with slower inference

Skip if: You want a simple setup or don’t have airflow for passive cooling.


Where to Buy Used GPUs

eBay โ€” Safest Option

Pros:

  • 30-day Money Back Guarantee
  • Buyer protection on all purchases
  • Easy returns for “not as described”

Tips:

  • Filter for sellers with 99%+ feedback
  • Look for actual photos, not stock images
  • Check shipping cost (some sellers pad it)
  • “Buy It Now” is safer than auctions for returns

Current prices (February 2026):

r/hardwareswap โ€” Best Prices

Pros:

  • 10-20% cheaper than eBay
  • Direct communication with seller
  • Confirmed trades system

Rules:

  • ONLY use PayPal Goods & Services
  • Check the Universal Scammer List
  • Verify timestamps in photos
  • Never pay via Friends & Family, Venmo, or Zelle

Facebook Marketplace โ€” Local Deals

Pros:

  • No shipping cost
  • Can inspect before buying
  • Often cheapest prices

Risks:

  • No buyer protection
  • Can’t test under load before paying
  • Scams are common

Tips:

  • Meet in public places
  • Bring a laptop to verify the card works
  • Cash only after inspecting

Amazon โ€” Used/Renewed

Amazon Renewed GPUs offer:

  • 90-day return window
  • Some buyer protection
  • Often overpriced vs eBay

Worth checking, but usually 10-20% more expensive than eBay.


Testing a Used GPU

Within the Return Window

Run these tests before the return period expires:

1. Verify specs in GPU-Z

  • Confirm VRAM amount
  • Check GPU model matches listing
  • Look for “fake” GPU warnings

2. Thermal stress test

# Run FurMark for 30+ minutes
# Monitor temps โ€” GPU should stay under 85ยฐC

3. Memory test

# Windows: Run OCCT with VRAM test
# Linux: Run memtestcl

4. AI workload test

# Install Ollama and run a model
ollama run llama3.1:8b
# Chat for 10+ minutes, watch for crashes

Red Flags During Testing

  • Artifacts or visual glitches under load
  • Random crashes during inference
  • Memory errors in OCCT/memtestcl
  • Temps over 90ยฐC (may indicate bad thermal paste)

Pricing Quick Reference (February 2026)

GPUVRAMFair PriceGreat PriceOverpriced
RTX 309024GB$750-850Under $700Over $900
RTX 3090 Ti24GB$850-1000Under $800Over $1100
RTX 3080 Ti12GB$450-550Under $450Over $600
RTX 3080 10GB10GB$350-400Under $350Over $450
RTX 30708GB$220-280Under $200Over $300
RTX 3060 12GB12GB$170-220Under $170Over $250
RX 6800 XT16GB$300-380Under $300Over $400
Tesla P4024GB$180-250Under $180Over $280

The Bottom Line

For serious local AI: Buy a used RTX 3090 ($700-850). Nothing else offers 24GB VRAM at this price. Test thoroughly within the return window.

On a budget: Buy a used RTX 3060 12GB ($170-220). It handles 14B models and costs less than a nice dinner for two.

For speed at 7B-8B: Buy a used RTX 3080 ($350-400). Fastest in this price range, but 10GB limits model options.

Avoid: RTX 3070, 3060 Ti, and anything with only 8GB VRAM. The VRAM ceiling makes them poor choices for AI in 2026.

Buy from eBay for buyer protection. Test immediately. Return if anything seems wrong. The used GPU market is excellent value โ€” you just need to buy smart.