AMD MI100 - 32GB usable

Specifications

BrandAMD
ModelMI100
Usable VRAM32GB
ArchitectureCDNA
CUDA / Stream Processors7,680
Memory Bandwidth1229 GB/s
TDP300W
FP32 TFLOPS23.1

Current Offers

Used from $1,299

Prices last updated:

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Lowest tracked offers by retailer

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

  • eBay $1,299 at 90-day high
  • Newegg (no current offer)
$500$1,000$1,500$2,000$2,500May 8Jun 21Aug 5Sep 19Nov 3Newegg $1,330eBay $1,299
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
DateeBayNewegg
Today, Nov 3, 2026 $1,299.00–
Oct 30, 2026 $1,199.99–
Oct 23, 2026 $1,199.99–
Oct 9, 2026 $1,299.00$1,329.99
Oct 2, 2026 $899.00$1,329.99
Sep 25, 2026 $879.99$1,329.99
Sep 18, 2026 $879.99$2,499.00
Sep 11, 2026 $879.99$2,499.00
Sep 4, 2026 $879.99$2,499.00
Sep 1, 2026 –$2,499.00
Aug 28, 2026 $879.99$2,499.00
Aug 21, 2026 $882.00$2,499.00
Aug 14, 2026 $999.00$1,329.99
Aug 7, 2026 $999.00$1,329.99
Jul 31, 2026 $950.00$1,329.99
Jul 24, 2026 $999.00$1,329.99
Jul 17, 2026 $999.00$1,329.99
Jul 10, 2026 $999.00$1,329.99
Jul 3, 2026 $999.00$1,329.99
Jun 26, 2026 $999.00$1,329.99
Jun 19, 2026 $999.00$1,329.99
Jun 12, 2026 $999.00$1,329.99
Jun 5, 2026 $999.00$1,329.99
May 29, 2026 $999.00$1,329.99
May 22, 2026 $989.99$1,329.99
May 15, 2026 $999.00$1,329.99
May 8, 2026 $999.00$1,329.99

For AI / LLM Use

Solid choice for 30B models and comfortable 14B inference. Very fast generation speed. Datacenter card with no display output, may need aftermarket cooling.

What Models Can It Run?

  • 30B Q6_K, 70B Q2_K
  • 30B Q4_K_M, 14B full precision, 70B Q2 (tight)
  • 14B Q6_K, 30B Q3_K (tight)
  • 14B Q4_K_M, 7B full precision
  • 7B Q6_K, 14B Q3_K (tight)
  • 7B Q4_K_M only

Estimated Performance

Generation: ~92 tokens/sec

Prefill: ~413 tokens/sec

Recommended Quantisations

  • Q4_K_M recommended for 30B models
  • Q6_K or Q8 for 14B and below
  • Full precision for 7B

Pros & Cons

Pros

  • 32GB usable VRAM: handles large models
  • High memory bandwidth for fast generation
  • CDNA architecture: supported by current ROCm stacks

Cons

  • 300W TDP: high power draw
  • ROCm and CUDA-first framework compatibility should be checked before purchase
  • No display output: headless only
  • May need aftermarket cooling solution

Community Verdict

No community reviews yet for the MI100. Know a good review? Let us know.