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GPUs tracked57Price history49 daysPrice points (24h)39,704 pointsBiggest 24h dropRadeon RX 7900 XTX-3.8%Biggest 24h riseCMP 170HX 40GB+19.8%Updated
$ USD

A100 40GB PCIe Price & Used Prices: Which Local LLMs Can It Run?

The A100 40GB PCIe is NVIDIA's 2020 data center card, running any model up to 35B at 8-bit. Used ones may be SXM4 modules on adapter boards.

eBay

A100 40GB PCIe price history

Current$7,7500.00%
eBay
Price updated
$11,055$9,384$7,712$6,040$4,369
Low $6,500High $10,100
Sep 5Sep 28Oct 21

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.

Full A100 40GB PCIe specifications

  • Memory40 GB · HBM2
  • Bandwidth1,555 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
250 W
Power connector
8-pin EPS
Slots
2
Length
267 mm
Type
Data center
Launch date
Jun 22, 2020

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What LLMs can a single A100 40GB PCIe run?

A single A100 40GB fits every model up to 35B at 8-bit, Qwen3.8 27B at about 39 tokens/s with 190K of context. 70B-class won't fit even at 4-bit.

ModelSizeRuns?Speed t/sMax context
Qwen3.5 9B9.7B5.7 GBRuns158.9256K
Gemma 4 12B12B7.1 GBRuns132.5256K
Gemma 4 26B A4B25.2B (3.8B active)16.9 GBRuns143256K
Qwen3.6 27B27.8B16.8 GBRuns63.6256K
Qwen3.8 27B27.8B16.5 GBRuns64.7256K
GLM 4.7 Flash30B (3B active)18.3 GBRuns155.8198K
Gemma 4 31B30.7B18.3 GBRuns57.6256K
Qwen3.6 35B A3B36B (3B active)22.1 GBRuns158.3256K

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 40GB PCIe cards run?

Two A100 40GB cards run 70B-class dense models and gpt-oss 120B at 8-bit; 2026's large MoE models need four. NVLink joins only pairs.

ModelSizeCardsTotal priceTotal VRAMSpeed t/sTotal power
Qwen3.8 Flash Next176B (6B active)111.3 GB4 cards$31,000160 GB121.71,000 W
DeepSeek V4 Flash284B (13B active)155.1 GB8 cards$62,000320 GB93.22,000 W
Hy3295B (21B active)182.2 GB8 cards$62,000320 GB502,000 W
GLM 5.3 Flash320B (18B active)199.7 GB8 cards$62,000320 GB702,000 W

Full calculation rules are on the Methodology page.

Who it suits

Good fit

  1. You want 30B-class models at 8-bit

    24GB cards can only run these models at 4-bit, while this card can step up to 8-bit

  2. You plan to use an inference engine like vLLM

    Software support for the Ampere generation is complete, and speedups such as FlashAttention 2 all work

  3. Several people will share one card

    MIG can split it into two 20GB slices, each running a 4-bit 27B

Not a good fit

  1. Running a 70B-class model on one card

    Llama 3.3 70B needs 46.3 GB even at 4-bit with only 8K of context, so it doesn't fit

  2. Counting on FP8 for speed

    This generation of chips has no FP8 compute units, so FP8 models load but don't run any faster

  3. Fitting it into a regular desktop

    The card has no fan and relies on server airflow for cooling, and it has no video output

Before you buy

  1. Watch out for converted SXM4 cards

    On the used market, some sellers mount server-only SXM4 modules on third-party adapter boards and sell them as PCIe cards, often with “SXM4 converted” in the listing title. Cooling, power delivery and stability on these cards depend entirely on how well the adapter board is built, and there is no factory warranty. To tell them apart, install the card and check the model name in nvidia-smi: the factory PCIe version shows “A100-PCIE-40GB”, while an SXM4 module shows “A100-SXM4-40GB”. In lspci, the device IDs are 20F1 and 20B0 respectively.

  2. Power needs an adapter cable, and cooling is up to you

    The power input is an 8-pin CPU connector (EPS), which has a different plug from the 8-pin PCIe connector graphics cards usually use. With a regular power supply, you need an adapter cable that combines two PCIe 8-pin leads into one CPU 8-pin. The card has no fan, just a very dense heatsink designed to be cooled by powerful server fans. In a regular case, you need to add a high-static-pressure fan or switch to a water block, because ordinary case fans can't push air through it.

  3. When MIG is useful

    MIG is the A100's partitioning feature: it splits one card into several “mini GPUs” whose memory and compute don't affect each other, which suits several people sharing a card. Practical splits are two 20GB slices, each running a 4-bit 27B, or three 10GB slices, each running a 4-bit 12B. Splitting all the way to seven slices leaves only 5GB each, enough only for small models like Gemma 4 E4B at 2-bit. If one person is running one model, you won't need it.

Compared with similar GPUs

A100 40GB PCIe vs A100 80GB PCIe, CMP 170HX 40GB, and L40S: price, VRAM, bandwidth, compute and local LLM speed compared.

SpecA100 40GB PCIeA100 80GB PCIeCMP 170HX 40GBL40S
Memory
40 GB
80 GB100% more
40 GBSame
48 GB20% more
Bandwidth
1,555 GB/s
1,935 GB/s24% higher
1,560 GB/sSame
864 GB/s44% lower
BF16 / FP16 compute
312 TFLOPS
312 TFLOPSSame
202 TFLOPS35% lower
362 TFLOPS16% higher
INT8 compute
624 TOPS
624 TOPSSame
404 TOPS35% lower
733 TOPS17% higher
Qwen3.8 27B speed (2-bit)
101.6 t/s
122.2 t/s20% faster
101.9 t/sSame
60.3 t/s41% slower
Largest dense model (4-bit)
65B
136B109% more
65BSame
79B22% more
Power
250 W
300 W20% higher
250 WSame
350 W40% higher
GPU interconnect
NVLink 600 GB/s
NVLink 600 GB/s
Not supported
Not supported
Interface
PCIe 4.0 x16
PCIe 4.0 x16
PCIe 2.0 x4
PCIe 4.0 x16
Released
2020-06
2021-06
2021-09
2023-08
eBay median

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Other markets

Amazon.jp · Japan
N/A
No listings
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Xianyu · Mainland China
$4,932
5 listings
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