NVIDIA GTX 1080 - 8GB usable

8GB Pascal with a little more bandwidth than the 1070 Ti and the same limits. Fine for 7B at Q4; anything larger disappoints.

Specifications

BrandNVIDIA
ModelGTX 1080
Usable VRAM8GB
ArchitecturePascal
CUDA / Stream Processors2,560
Memory Bandwidth320 GB/s
TDP180W
FP32 TFLOPS8.9

Current Offers

Used from $99New from $185

Prices last updated:

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Lowest tracked offers by retailer

US · USD · Weekly since Aug 2026 · Shipping may be extra

  • eBay $99 at 90-day high
  • Amazon $157 current
  • Newegg (no current offer)
$0$100$200$300$400Aug 21Sep 8Sep 27Oct 15Nov 3Newegg $369Amazon $157eBay $99
About these prices

Each line is the lowest offer we tracked from that retailer at weekly snapshots, ending at today's offer. The condition can vary between snapshots (new, used, or unrecorded for older ones). eBay prices exclude shipping. Tax is excluded. Amazon shows a current price only.

Weekly offers table
Lowest tracked offer per retailer · US · USD
DateeBayAmazonNewegg
Today, Nov 3, 2026 $99.00$156.99–
Oct 30, 2026 $93.00––
Oct 23, 2026 $85.00––
Oct 9, 2026 $65.00––
Oct 2, 2026 $59.97–$369.00
Sep 25, 2026 $59.97–$369.00
Sep 18, 2026 $59.97–$369.00
Sep 11, 2026 $52.47–$369.00
Sep 4, 2026 $52.47–$369.00
Sep 1, 2026 ––$369.00
Aug 28, 2026 ––$369.00
Aug 21, 2026 ––$369.00

For AI / LLM Use

Limited VRAM restricts you to 7B quantized models. Slower generation, usable but not snappy. Older architecture may have limited software support (check CUDA compatibility).

What Models Can It Run?

  • 7B Q6_K, 14B Q3_K (tight)
  • 7B Q4_K_M only

Estimated Performance

Generation: ~24 tokens/sec

Prefill: ~159 tokens/sec

Recommended Quantisations

  • Q4_K_M for 7B models
  • Q3_K for larger experiments

Pros & Cons

Pros

  • Consumer card: easy to install, display output

Cons

  • Only 8GB usable VRAM: limited to small models
  • Moderate memory bandwidth: not the fastest for inference
  • Older Pascal architecture: verify current CUDA support

Community Verdict

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