RTX 5000 Mobile Ada Generation

Ada LovelaceNVIDIA RTX Ada SeriesLaptopGDDR62023Notebook OEM

Key Metrics

Architecture
Ada Lovelace
Launch Date
2023-03-21
CUDA Cores
9,728
Memory
16 GB GDDR6
Memory Bandwidth
576 GB/s
TDP/TBP
175 W
Interface
PCIe 4.0 x16
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Why It Mattered

RTX 5000 Mobile Ada Generation matters as a mobile NVIDIA RTX Ada Series implementation from the Ada Lovelace generation around 2023. 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.

Related GPUs

Back to NVIDIA RTX Ada Series

Previous in series: RTX 5000 Max-Q Ada GenerationNext in series: RTX 5880 Ada Generation
Sources

Sources reviewed: 2026-08-14

This entry is still being source-checked.

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.

Primary / manufacturer sources

  1. NVIDIA Professional Graphics Solutions mobile line cardOfficial NVIDIA laptop-GPU table explicitly listing GPU memory, memory interface, and maximum TGP ranges for the selected Ada Generation modelsOpen source
  2. NVIDIA Newsroom: NVIDIA Redefines Workstations to Power New Era of AI, Design, Industrial MetaverseDated March 21, 2023; NVIDIA explicitly announces RTX 2000, 3000, 3500, 4000, and 5000 Ada Generation laptop GPUsOpen source

Independent reference sources

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

Derived datasets and spec dumps

  1. 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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