RTX 4080 Super: 16GB VRAM for Local AI

Decision snapshot

Where RTX 4080 Super fits in a shortlist

Profile role

A high-power 16GB Ada profile for creator and workstation planning.

Reason to consider

It offers a different power and core specification class from lower 16GB cards while retaining the same 16GB capacity ceiling.

Main constraint

Its higher product tier must not be confused with additional VRAM. Memory-heavy workloads still face the same 16GB capacity boundary.

Planning specifications with source-aware confidence labels
Vendor	NVIDIA
Architecture	Ada Lovelace
VRAM	16 GB
Memory type	GDDR6X
Memory bus	256 bit
Memory bandwidth	736.3 GB/s
Memory speed	Needs verification Needs verification from official vendor or trusted manufacturer documentation.
CUDA cores	10240
Base clock	2.29 GHz
Boost clock	2.55 GHz
TGP	320 W
Board power	Needs verification Needs verification from official vendor or trusted manufacturer documentation.
Power consumption	320 W
Power connectors	1 x 16-pin
PSU guidance	Needs verification Needs verification from official vendor or trusted manufacturer documentation.
Launch year	2024

Interpretation

Compare it with other 16GB GPUs only after confirming the workload fits inside that tier.
Use the specification table to evaluate power and memory bandwidth differences without converting them into unsupported speed claims.
Move to a 24GB profile or cloud test when the estimate is already near 16GB.

Compare path

16GB - Ada Lovelace

Same 16GB Ada tier when capacity is equal but power and source-backed specifications differ.

16GB - Blackwell

Same 16GB capacity in the Blackwell high-power path.

24GB - Ada Lovelace

24GB step-up when the estimate is too close to the 16GB ceiling.

Profile note: Reference specs are official; memory bandwidth and connector are cross-checked from database coverage.

Next step