The A100 PCIe 80GB offers Ampere performance in a PCIe form factor with 80GB HBM2e memory. Enables enterprise deployment without specialized SXM baseboard infrastructure.
VRAM
80 GB
Memory
HBM2e
Bandwidth
1,935 GB/s
FP16
312 TF
TDP
300 W
PCIe 80GB
Estimates based on INT8 quantization. Actual fit depends on framework and batch size.
The manufacturer's other cards in the catalog, largest memory first, with bandwidth and power where published.
Answered from the entry's own figures: memory, which models fit, bandwidth, power and the card's class.
NVIDIA A100 PCIe 80GB has 80 GB of HBM2e at 1,935 GB/s. At INT8 a model's weights take about one byte per parameter, so the card holds roughly a 64B-parameter model with room for context; larger models need several cards or a lower precision.
From the catalog's estimates at INT8, Kimi Linear 48B A3B Base, Llama 3_3 Nemotron Super 49B V1, Gemma 4 31B IT and Llama Nemotron Embed Vl 1B V2 fit on a single NVIDIA A100 PCIe 80GB with their default context. The list on this page shows the estimated memory each takes; the capacity planner sizes any model against this card for your own context length, batch size and request rate.
1,935 GB/s. Bandwidth bounds how fast a model generates tokens, because every token reads the whole set of weights and the KV cache from memory; at this rate a 64B model at INT8 could be read on the order of 30 times a second on one card, before batching and framework efficiency.
NVIDIA A100 PCIe 80GB has a TDP of 300 W, with a maximum of 300 W, in the PCIe form factor. Budget the TDP per card plus host overhead when sizing a server's power and cooling.
NVIDIA A100 PCIe 80GB is a datacenter accelerator, meant for servers and multi-GPU serving, built on the Ampere architecture and released in 2021. It supports a multi-GPU interconnect at 600 GB/s, so a model larger than one card can be split across several.
Specifications from the manufacturer's published material; a figure that is not published is shown as such, and a derived one is explained in the notes.
Added Jan 25, 2026 · Last updated Jan 25, 2026
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