Quadro M4000M

Laptop GPU

Maxwell 2.0 Quadro Laptop Desktop GDDR5 2015 Notebook OEM

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At a Glance

Entry Type: Laptop GPU
Architecture: Maxwell 2.0
Series: Quadro
GPU Die: GM204
Launch Date: 2015-08-18
CUDA Cores: 1,280
TMUs: 80
ROPs: 64
Memory: 4 GB GDDR5
Bus Width: 256-bit
TDP/TBP: 100 W
Interface: PCIe 3.0 x16
Data Confidence: Partial

GPU Specs

Identity
Entry Type	Laptop GPU
Official Name	NVIDIA Quadro M4000M
GPU Codename	GM204
Architecture	Maxwell 2.0
Launch Date	2015-08-18
Market Segment Notes	Laptop in Quadro
Core Specs
GPU Die	GM204
Chip Variant / Package	BGA-1745
Process Node	TSMC 28 nm
Transistor Count	5.2 billion
Die Size	398 mm²
CUDA Cores	1280
SM Count	10
TMUs	80
ROPs	64
Base Clock	975 MHz
Boost Clock	1,013 MHz
Pixel Fillrate	64.83 GP/s
Texture Fillrate	81.04 GT/s
FP32 Throughput	2.59 TFLOPS
FP64 Throughput	0.08 TFLOPS
Memory
Memory Size	4 GB
Memory Type	GDDR5
Memory Bus Width	256-bit
Memory Clock	1,253 MHz
Memory Bandwidth	160.4 GB/s
L2 Cache	2 MB
L1 Cache	48 KB
Board and Display
TDP / TBP	100 W
Power Connectors	None
Interface	PCIe 3.0 x16
Slot Width	MXM Module
Board Partner Model	Reference or OEM specification
Reference Design	OEM design
Software
CUDA Compute Capability	5.2
Shader Model	6.8
DirectX Support	DirectX 12.1
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

Quadro M4000M is an NVIDIA GPU entry in the Quadro family. It is listed with Maxwell 2.0 architecture and GM204 silicon.

Key reference data: 1,280 CUDA cores/shaders, 4 GB GDDR5 memory, 256-bit memory bus, 100 W board power class.

Laptop implementations can vary by OEM power limit, cooling, memory configuration, and driver package.

Why It Mattered

Quadro M4000M matters as a mobile Quadro implementation from the Maxwell 2.0 generation around 2015. Laptop GPU names often hide large differences in power limits, cooling, memory, and OEM firmware, so tracking the exact variant explains why similarly named systems can perform differently.

Collector Notes

For archival use, record the exact laptop or module model, OEM subsystem ID, TGP or power profile, memory size and type, VBIOS, cooling design, display mux or Optimus behavior, and driver package used by the system vendor.

Used-Market Caution

Do not buy a laptop by GPU name alone. Confirm the exact laptop model, TGP, memory configuration, charger, cooling condition, display mux, BIOS support, driver branch, battery health, and whether the GPU is soldered or part of a replaceable module.

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