RTX A2000 Max-Q 8 GB

Laptop GPU

Ampere NVIDIA RTX A Series Laptop Desktop GDDR6 2021 Notebook OEM

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At a Glance

Entry Type: Laptop GPU
Architecture: Ampere
Series: NVIDIA RTX A Series
GPU Die: GA107
Launch Date: 2021-04-12
CUDA Cores: 2,560
TMUs: 80
ROPs: 48
Memory: 8 GB GDDR6
Bus Width: 128-bit
TDP/TBP: 95 W
Interface: PCIe 4.0 x16
Data Confidence: Partial

GPU Specs

Identity
Entry Type	Laptop GPU
Official Name	NVIDIA RTX A2000 Max-Q 8 GB
GPU Codename	GA107
Architecture	Ampere
Launch Date	2021-04-12
Market Segment Notes	Laptop in NVIDIA RTX A Series
Core Specs
GPU Die	GA107
Chip Variant / Package	FCBGA-1358
Process Node	Samsung 8 nm
Transistor Count	8.7 billion
Die Size	200 mm²
CUDA Cores	2560
SM Count	20
TMUs	80
ROPs	48
AI Units / Tensor Cores	80
RT Units / RT Cores	20
Base Clock	607 MHz
Boost Clock	1,177 MHz
Pixel Fillrate	56.5 GP/s
Texture Fillrate	94.16 GT/s
FP32 Throughput	6.03 TFLOPS
FP16 Throughput	6.03 TFLOPS
FP64 Throughput	0.09 TFLOPS
Memory
Memory Size	8 GB
Memory Type	GDDR6
Memory Bus Width	128-bit
Memory Clock	1,375 MHz
Memory Bandwidth	176 GB/s
L2 Cache	2 MB
L1 Cache	128 KB
Board and Display
TDP / TBP	95 W
Power Connectors	None
Interface	PCIe 4.0 x16
Slot Width	IGP
Board Partner Model	Reference or OEM specification
Reference Design	OEM 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

RTX A2000 Max-Q 8 GB is an NVIDIA GPU entry in the NVIDIA RTX A Series family. It is listed with Ampere architecture and GA107 silicon.

Key reference data: 2,560 CUDA cores/shaders, 8 GB GDDR6 memory, 128-bit memory bus, 95 W board power class.

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

Why It Mattered

RTX A2000 Max-Q 8 GB matters as a mobile NVIDIA RTX A Series implementation from the Ampere generation around 2021. 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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