THE 1108.4 TFLOPS HEADLINE IS SPARSE FP8, ON NVIDIA'S OWN FOOTNOTE. The datasheet prints "Tensor performance 1108.4 TFLOPS" against footnote 4, which reads in full: "Effective FP8 teraFLOPS (TFLOPS) using sparsity." Dense FP8 is therefore 554.2, and that is what the FP8 row stores, with 1108.4 in peak_tflops_sparse. This is the same treatment the nvidia-rtx-6000-ada-48gb row gives its 1457.0, and the two are consistent with each other: both cards put their sparse FP8 rate at almost exactly sixteen times their published FP32, 1108.4 over 69.3 and 1457.0 over 91.1. NO NVIDIA-HOSTED COPY OF THE DATASHEET IS REACHABLE: resources.nvidia.com puts it behind a gated form that redirects to the site root, and no /content/dam/ path for it resolves, so the source registered here is a verbatim OEM mirror of NVIDIA document 3156635 (Feb24), carrying the NVIDIA header, copyright and footnotes unchanged. launch_year 2024 rests on NVIDIA-dated artefacts only: the product page's earliest capture is 2024-01-05 with assets stamped 2024-01-04, and the datasheet is stamped Feb24. Third-party reporting places the announcement in late December 2023, and NVIDIA published no press release or blog post for this card at all, so no 2023 date is asserted here. REFUSED: base and boost clocks, which NVIDIA does not publish for this SKU; FP64, TF32, BF16, FP16 and INT8, for which it publishes no figure.

NVIDIA RTX 5880 Ada 48GB

Ada Lovelace PCIe 2024 4nm Spec confidence: Official
FP8 (dense)
554
TFLOPS
FP32
69
TFLOPS
Memory
48 GB
GDDR6
Bandwidth
960 GB/s
memory
TDP
285 W
243.2 FP32 dense TFLOPS/kW of TDP
Download datasheet

Overview

The RTX 5880 Ada Generation is the cut-down AD102 workstation card NVIDIA introduced for markets where the RTX 6000 Ada cannot be sold. It keeps the things that make the 6000 useful, 48 GB of ECC GDDR6 on a 384-bit bus at 960 GB/s in a 285 W dual-slot card, and trims the compute: 14,080 CUDA cores and 440 fourth-generation Tensor Cores against the 6000's 18,176 and 568, for 69.3 TFLOPS FP32 and 554.2 TFLOPS of dense FP8 tensor throughput. That works out to roughly three-quarters of the RTX 6000 Ada's arithmetic at the same memory capacity and bandwidth, which is the trade that matters for local inference, where a model either fits in the frame buffer or it does not. It has no NVLink, like every Ada card, so it scales out over PCIe Gen 4 rather than pairing. NVIDIA publishes only two throughput figures for it, single-precision and a sparse FP8 tensor number, so the rows below are deliberately short.

Performance

Peak theoretical throughput by precision type

PrecisionDense2:4 Sparse
FP64
No verified data available Structured sparsity is a tensor-core feature; this vector precision has no sparse form
FP32
32-bit floating point
69TFLOPS Structured sparsity is a tensor-core feature; this vector precision has no sparse form
TF32
No verified data available The part supports 2:4 sparsity, but the vendor publishes no sparse figure for this precision
BF16
No verified data available The part supports 2:4 sparsity, but the vendor publishes no sparse figure for this precision
FP16
No verified data available The part supports 2:4 sparsity, but the vendor publishes no sparse figure for this precision
FP8
8-bit floating point
554TFLOPS 1,108TFLOPS
FP6
No verified data available The part supports 2:4 sparsity, but the vendor publishes no sparse figure for this precision
FP4
No verified data available The part supports 2:4 sparsity, but the vendor publishes no sparse figure for this precision
INT8
No verified data available The part supports 2:4 sparsity, but the vendor publishes no sparse figure for this precision

Specifications

Architecture

Ada Lovelace

Form Factor

PCIe

Launch Year

2024

Process Node

4nm

Memory

48 GB GDDR6

Bandwidth

960 GB/s

TDP

285 W

Max power

285 W

CUDA Cores

14,080

Spec Confidence

Official

Full Specifications

Compute Engine
CUDA Cores 14,080
Tensor Cores 440 (4th Gen)
Streaming Multiprocessors 110
Memory
Memory 48 GB
Memory Type GDDR6
Bandwidth 960 GB/s
Interface Width 384-bit
Memory Clock 20 GT/s
Interconnect & I/O
PCIe 4.0 x16
Power & Thermal
TDP 285 W
Max power 285 W
Cooling Active
Enterprise Features
ECC Memory Yes
Sparsity Yes
Compute APIs CUDA 11.6, OpenCL 3.0, DirectCompute
Physical & Media
Width 2-slot
General
Form Factor PCIe
Architecture Ada Lovelace
Process Node 4nm
Launch Year 2024

Datasheet & Resources

Data Provenance

Every figure traced to a source

Primary Source

Publisher
NVIDIA
Published
2024-02-01

Data Quality

Spec confidence
Official
Clock basis
Boost
Core precisions with figures
2 of 9
Normalization
All values in TFLOPS

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Frequently Asked Questions

How many TFLOPS does the NVIDIA RTX 5880 Ada have?

The NVIDIA RTX 5880 Ada delivers 69 TFLOPS FP32 and 554 TFLOPS FP8 at peak. Flopper does not currently have a verified FP16 throughput figure for it.

What is the power consumption of the NVIDIA RTX 5880 Ada?

The NVIDIA RTX 5880 Ada has a TDP (Thermal Design Power) rating of 285 watts.

How much memory does the NVIDIA RTX 5880 Ada have?

The NVIDIA RTX 5880 Ada is equipped with 48 GB of memory with 960 GB/s of memory bandwidth.

What architecture is the NVIDIA RTX 5880 Ada based on?

The NVIDIA RTX 5880 Ada is based on the Ada Lovelace architecture, launched in 2024.

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