L40G

Data Center GPU

Ada Lovelace NVIDIA L-Series Data Center GDDR6 2022 NVIDIA

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At a Glance

Entry Type: Data Center GPU
Architecture: Ada Lovelace
Series: NVIDIA L-Series
GPU Die: AD102
Launch Date: 2022-10-13
CUDA Cores: 18,176
TMUs: 568
ROPs: 192
Memory: 24 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 L40G
GPU Codename	AD102
Architecture	Ada Lovelace
Launch Date	2022-10-13
Market Segment Notes	Data Center in NVIDIA L-Series
Core Specs
GPU Die	AD102
Process Node	TSMC 5 nm
Transistor Count	76.3 billion
Die Size	609 mm²
CUDA Cores	18176
SM Count	142
TMUs	568
ROPs	192
AI Units / Tensor Cores	568
RT Units / RT Cores	142
Base Clock	1,005 MHz
Boost Clock	2,475 MHz
Pixel Fillrate	475.2 GP/s
Texture Fillrate	1405.8 GT/s
FP32 Throughput	89.97 TFLOPS
FP16 Throughput	89.97 TFLOPS
FP64 Throughput	1.41 TFLOPS
Memory
Memory Size	24 GB
Memory Type	GDDR6
Memory Bus Width	384-bit
Memory Clock	2,250 MHz
Memory Bandwidth	864 GB/s
L2 Cache	48 MB
L1 Cache	128 KB
Board and Display
TDP / TBP	300 W
Recommended PSU	700 W
Power Connectors	1x 16-pin
Interface	PCIe 4.0 x16
Display Outputs	1x HDMI 2.1, 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	8.9
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

L40G is an NVIDIA GPU entry in the NVIDIA L-Series family. It is listed with Ada Lovelace architecture and AD102 silicon.

Key reference data: 18,176 CUDA cores/shaders, 24 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

L40G is a NVIDIA L-Series accelerator from the Ada Lovelace 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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