Intel Arc A770 8GB - 8GB usable

The same GPU as the 16GB A770 with half the memory, which is the part that matters here. Take the 16GB version unless the gap is large.

Specifications

BrandIntel
ModelArc A770 8GB
Usable VRAM8GB
ArchitectureXe-HPG
CUDA / Stream Processors4,096
Memory Bandwidth512 GB/s
TDP225W
FP32 TFLOPS19.7

Current Offers

Used from $270New from $359

Prices last updated:

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Lowest tracked offers by retailer

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

  • eBay $270 near 90-day high
  • Amazon $270 current
  • Newegg (no current offer)
$175$200$225$250$275$300$325Aug 21Sep 8Sep 27Oct 15Nov 3Newegg $319eBay $270Amazon $270
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 $269.99$269.99–
Oct 30, 2026 $280.00––
Oct 23, 2026 $280.00––
Oct 9, 2026 $219.99––
Oct 2, 2026 $229.99–$319.00
Sep 25, 2026 $239.99–$319.00
Sep 18, 2026 $239.99–$199.99
Sep 11, 2026 $239.99–$319.00
Sep 4, 2026 $239.99–$199.99
Sep 1, 2026 $239.99–$199.99
Aug 28, 2026 $239.99–$199.99
Aug 21, 2026 $239.99–$199.99

For AI / LLM Use

Limited VRAM restricts you to 7B quantized models. Expect a smaller selection of supported local-AI builds than on NVIDIA.

What Models Can It Run?

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

Estimated Performance

Generation: ~38 tokens/sec

Prefill: ~352 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
  • Smaller local-AI software ecosystem than NVIDIA or AMD

Community Verdict

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