A40 PCIe

Data Center GPU

Ampere NVIDIA A-Series Data Center Server GDDR6 2020 NVIDIA

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At a Glance

Entry Type: Data Center GPU
Architecture: Ampere
Series: NVIDIA A-Series
GPU Die: GA102
Launch Date: 2020-10-05
CUDA Cores: 10,752
TMUs: 336
ROPs: 112
Memory: 48 GB GDDR6
Bus Width: 384-bit
TDP/TBP: 300 W
Rec. PSU: 700 W
Interface: PCIe 4.0 x16
Data Confidence: Partial

GPU Specs

Identity
Entry Type	Data Center GPU
Official Name	NVIDIA A40 PCIe
GPU Codename	GA102
Architecture	Ampere
Launch Date	2020-10-05
Market Segment Notes	Data Center in NVIDIA A-Series
Core Specs
GPU Die	GA102
Chip Variant / Package	BGA-3328
Process Node	Samsung 8 nm
Transistor Count	28.3 billion
Die Size	628 mm²
CUDA Cores	10752
SM Count	84
TMUs	336
ROPs	112
AI Units / Tensor Cores	336
RT Units / RT Cores	84
Base Clock	1,305 MHz
Boost Clock	1,740 MHz
Pixel Fillrate	194.9 GP/s
Texture Fillrate	584.6 GT/s
FP32 Throughput	37.42 TFLOPS
FP16 Throughput	37.42 TFLOPS
FP64 Throughput	0.58 TFLOPS
Memory
Memory Size	48 GB
Memory Type	GDDR6
Memory Bus Width	384-bit
Memory Clock	1,812 MHz
Memory Bandwidth	695.8 GB/s
L2 Cache	6 MB
L1 Cache	128 KB
Board and Display
TDP / TBP	300 W
Recommended PSU	700 W
Power Connectors	8-pin EPS
Interface	PCIe 4.0 x16
Display Outputs	3x DisplayPort 1.4a
Slot Width	Dual-slot, 267 mm length
Card Length	267 mm
Board Partner Model	Reference or OEM specification
Reference Design	NVIDIA reference design
Software
CUDA Compute Capability	8.6
Shader Model	6.8
DirectX Support	DirectX 12.2
Vulkan Support	Vulkan 1.4
OpenGL Support	OpenGL 4.6
OpenCL Support	OpenCL 3.0
Driver Branch Notes	Driver support depends on architecture, operating system, and current NVIDIA driver branch.
Windows Support Notes	Check the current NVIDIA driver branch and OEM support policy for this exact GPU.
Linux Support Notes	Check the current NVIDIA Linux driver branch, distribution packages, and kernel compatibility for this exact GPU.

Overview

A40 PCIe is an NVIDIA GPU entry in the NVIDIA A-Series family. It is listed with Ampere architecture and GA102 silicon.

Key reference data: 10,752 CUDA cores/shaders, 48 GB GDDR6 memory, 384-bit memory bus, 300 W board power class.

Server accelerators should be checked against platform compatibility, cooling, power delivery, firmware, and driver or CUDA support.

Why It Mattered

A40 PCIe is a NVIDIA A-Series accelerator from the Ampere generation. Its historical context is data-center deployment rather than gaming, so form factor, memory capacity, interconnect, virtualization features, and server compatibility are the details that make this entry useful.

Collector Notes

For archival use, record the accelerator form factor, memory capacity, board part number, firmware or VBIOS, cooling type, bracket, interconnect support, power connectors, and the server or workstation it came from.

Used-Market Caution

Before buying used, confirm PCIe versus SXM or OAM form factor, passive airflow needs, auxiliary power, HBM size, firmware locks, ECC or retired-page errors, seller proof from nvidia-smi under load, and whether any vGPU or enterprise licensing is required.

Known Issues

Known issues pending source review.

SourcesPartial

Sources reviewed: 2026-06-20

This entry is still being source-checked.

Specifications are currently based on reference/spec-dump sources. Historical notes require additional source review.

Data confidence and source status

Partial entry. Core specifications may be present, but history, variant notes, known issues, and source review may be incomplete.

Verified: core specifications and historical notes have been reviewed against listed sources.
Partial: core specifications may be present, but history, variant notes, known issues, and source review may be incomplete.
Imported: spec-only imported entry pending editorial source review.
Needs source review: narrative notes are incomplete until reviewed.

Independent reference sources

TechPowerUp GPU SpecsModel-level specification reference for this GPU entryOpen source

Derived datasets and spec dumps

RightNow GPU DatabaseOpen data inventory used for bulk normalization and cross-checking Derived/spec-dump source. Treat as a reference dataset, not independent historical verification.Open source

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Overview

Why It Mattered

Collector Notes

Used-Market Caution

Known Issues

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Independent reference sources

Derived datasets and spec dumps