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$ USD

A100 80GB PCIe Price, VRAM & Local LLMs

With 80GB of VRAM, the NVIDIA A100 80GB PCIe (2021) holds gpt-oss 120B on a single card and runs 30B-class models at 8-bit with long context. It has no fan of its own, so it only works in a case that pushes air straight through it.

eBay

A100 80GB PCIe price history

Current$18,9990.00%
eBay
Price updated
$24,199$20,349$16,499$12,649$8,799
Low $10,999High $21,999
Sep 22Oct 18Nov 14

As an eBay Partner, VRAMGlass may be compensated if you buy through the eBay links on this page. The price you pay stays the same.

A100 80GB PCIe VRAM & full specs

  • Memory80 GB · HBM2e
  • Bandwidth1,935 GB/s
  • FP16 / BF16312 TFLOPS
  • INT8624 TOPS
Bus width
5,120-bit
Architecture
Ampere (GA100)
Cores
6,912
Tensor cores
432
Ecosystem
CUDA
Interface
PCIe 4.0 x16
NVLink
600 GB/s
Power
300 W
Power connector
8-pin EPS
Slots
2
Length
267 mm
Type
Data center
Launch date
Jun 28, 2021

Best A100 80GB PCIe deals

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What LLMs can a single A100 80GB PCIe run?

One A100 80GB tops out at gpt-oss 120B at 4-bit; up to 35B, use 8-bit, Qwen3.8 27B at about 47 tokens/s. No FP8 speedup, so in vLLM pick INT4 models.

ModelSizeRuns?Speed t/sMax context
Gemma 4 26B A4B25.2B (3.8B active)16.9 GBRuns152.8256K
Qwen3.6 27B27.8B16.8 GBRuns77.5256K
Qwen3.8 27B27.8B16.5 GBRuns78.7256K
GLM 4.7 Flash30B (3B active)18.3 GBRuns164.5198K
Gemma 4 31B30.7B18.3 GBRuns70.2256K
Qwen3.6 35B A3B36B (3B active)22.1 GBRuns166.7256K

RunsFits fully in VRAM; speed is estimated from VRAM bandwidth.

Needs RAM offloadMoE only: expert weights sit in system RAM, so speed is estimated from 70 GB/s RAM bandwidth.

Too bigWon’t fit on one card at this quantization, even with RAM offload.

Full calculation rules are on the Methodology page.

What LLMs can multiple A100 80GB PCIe cards run?

Two A100 80GB cards (160GB) run Qwen3.8 Flash Next at 4-bit at about 130 tokens/s; DeepSeek V4 Flash takes four. NVLink is supported.

ModelSizeCardsTotal priceTotal VRAMSpeed t/sTotal power
Qwen3.8 Flash Next176B (6B active)111.3 GB2 cards$37,998160 GB132.9600 W
DeepSeek V4 Flash284B (13B active)155.1 GB4 cards$75,996320 GB104.71,200 W
Hy3295B (21B active)182.2 GB4 cards$75,996320 GB58.91,200 W
GLM 5.3 Flash320B (18B active)199.7 GB4 cards$75,996320 GB80.71,200 W
GLM 5.3744B (40B active)467.3 GB8 cards$151,992640 GB44.22,400 W
Hy4 preview770B (49B active)467.3 GB8 cards$151,992640 GB38.92,400 W
Muse Spark Open816B (42B active)505.5 GB8 cards$151,992640 GB43.32,400 W
DeepSeek V4.1 Flash763B (8 / 16B active)510.3 GB8 cardsEngram in RAM$151,992640 GB71.72,400 W
Kimi K2.61,000B (32B active)583.7 GB8 cards$151,992640 GB55.42,400 W
Kimi K2.7 Code1,000B (32B active)583.7 GB8 cards$151,992640 GB55.42,400 W
Mistral Large 41,000B (52B active)604.8 GB8 cards$151,992640 GB37.52,400 W

Rows marked “Engram in RAM” need about 203 GB of extra system RAM. Full calculation rules are on the Methodology page.

Who it suits

Good fit

  1. Running 70B- to 120B-class models on one card

    gpt-oss 120B at 4-bit and Llama 3.3 70B at 8-bit both fit, with no need to split them across cards

  2. You want 30B-class models at 8-bit with long context

    Qwen3.8 27B at 8-bit can use the full 256K, at about 47 tokens/s

  3. You may add a second card later

    Two cards paired with an NVLink bridge give you 160 GB, enough for Qwen3.8 Flash Next at 4-bit

  4. You need to share it among several people

    MIG splits it into two 40GB slices, so each person can run an 8-bit 27B

Not a good fit

  1. You need speed on long documents or with many concurrent users

    It has less than half the H100's compute, and no FP8

  2. You want to drop it into a regular workstation and go

    The card has no fan, so all 300W of heat has to be carried away by case airflow

Before you buy

  1. Tell the factory PCIe version from SXM4 conversions

    On the used market, some sellers fit server SXM4 modules onto adapter boards and sell them as PCIe cards. Listing titles often say “SXM4 converted”, and even the sellers admit the firmware still identifies the card as the SXM version. Converted cards work, but cooling, power delivery and stability depend on whoever made the adapter board, and there is no factory warranty. Run nvidia-smi once the card arrives: the factory PCIe version shows “A100 80GB PCIe”, while a converted card shows “A100-SXM4-80GB” (lspci device IDs 20B5 and 20B2 respectively).

  2. All 300W leaves through airflow

    The card has no fan, so all 300W of heat has to be carried off by the heatsink and case airflow, 50W more than the 40GB version. In a workstation, either add an air shroud with a high-static-pressure fan or switch to a water block. Power comes in through one 8-pin CPU (EPS) connector, so a regular power supply needs a PCIe-to-CPU 8-pin adapter cable.

  3. Splitting it among users with MIG

    MIG splits one card into several mini GPUs that don't interfere with each other, and every slice on the 80GB version is twice the size of the 40GB version's. Splitting all the way to seven slices gives 10GB each, enough for Gemma 4 12B at 4-bit; splitting into two 40GB slices lets each run Qwen3.8 27B at 8-bit (29 GB).

  4. FP8 models run, but no faster

    Ampere doesn't support FP8 compute. FP8 models still load in vLLM: the weights are stored in FP8 and converted to FP16/BF16 for computation, so you save VRAM but gain no speed. For throughput, look for INT4 versions such as AWQ or GPTQ; if you have enough VRAM, you can also just use the original BF16 weights.

Compared with similar GPUs

A100 80GB PCIe vs H100 PCIe and RTX PRO 6000: price, VRAM, bandwidth, compute and local LLM speed compared.

SpecA100 80GB PCIeH100 PCIeRTX PRO 6000
Memory
80 GB
80 GBSame
96 GB20% more
Bandwidth
1,935 GB/s
2,000 GB/s3% higher
1,792 GB/s7% lower
BF16 / FP16 compute
312 TFLOPS
756 TFLOPS142% higher
500 TFLOPS60% higher
INT8 compute
624 TOPS
1,513 TOPS142% higher
1,000 TOPS60% higher
Qwen3.8 27B speed (2-bit)
122.2 t/s
125.6 t/sSame
114.6 t/s6% slower
Largest dense model (4-bit)
136B
136BSame
165B21% more
Power
300 W
350 W17% higher
600 W100% higher
GPU interconnect
NVLink 600 GB/s
NVLink 600 GB/s
Not supported
Interface
PCIe 4.0 x16
PCIe 5.0 x16
PCIe 5.0 x16
Released
2021-06
2022-03
2025-03
eBay median

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A100 80GB PCIe rental price per hour

On-demand rental of the A100 80GB PCIe starts at $0.94 per hour (Vast.ai), about $229/month at 8 hours a day. Buying one (eBay median asking price $18,999) pays off in about 14.7 years, 7.3 years or 2.4 years at 4, 8 or 24 hours a day.

OptionPrice4 h/day8 h/day24 h/dayView
Vast.aiRentUpdated 29 min. ago$0.94/hr$114/mo$229/mo$686/moRent
RunPodRentUpdated 29 min. ago$1.19/hr$145/mo$290/mo$869/moRent
eBayUpdated 3 hr. ago$18,999Payback ~14.7 yrsPower $7/moPayback ~7.3 yrsPower $13/moPayback ~2.4 yrsPower $39/moBuy

Break-even uses the US residential average ($0.18/kWh) and 300 W rated power, excluding resale value and the rest of the build.

Rental links are referral links: we may receive a commission or credit if you sign up through them. As an eBay Partner, VRAMGlass may be compensated if you buy through the eBay links on this page. The price you pay stays the same.

Other markets

Amazon.jp · Japan
N/A
No listings
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Xianyu · Mainland China
$16,156
5 listings
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