At 115 W this is the lowest-power desktop card in the RTX 40 range, and many models run from a single 8-pin or even a 6-pin connector.

NVIDIA GeForce RTX 4060 8GB

Ada Lovelace PCIe 2023 4nm Spec confidence: Official
FP8 (dense)
60
TFLOPS
FP32
15
TFLOPS
VRAM
8 GB
GDDR6
TDP
115 W
131.4 TFLOPS/kW

Overview

The GeForce RTX 4060 is the smallest desktop Ada part, built on AD107 with 3,072 CUDA cores, 96 fourth-generation Tensor cores and 8 GB of GDDR6 on a 128-bit bus. It reaches 15.1 TFLOPS of FP32 and 60.5 TFLOPS of dense FP8. Its real distinction is power: 115 W total graphics power, low enough to drop into an office desktop without touching the supply, and low enough that a pair of them costs less to run than one larger card. For AI it is an entry-level device suited to small quantised models, image generation at modest resolutions and learning the tooling, and its 8 GB is the ceiling on everything else.

Performance

Peak theoretical throughput by precision type

PrecisionDense2:4 Sparse
FP64
64-bit floating point
0.2TFLOPS Structured sparsity is a tensor-core feature; this vector precision has no sparse form
FP32
32-bit floating point
15TFLOPS Structured sparsity is a tensor-core feature; this vector precision has no sparse form
TF32
TensorFloat-32
15TFLOPS The part supports 2:4 sparsity, but the vendor publishes no sparse figure for this precision
BF16
Brain Float 16
30TFLOPS The part supports 2:4 sparsity, but the vendor publishes no sparse figure for this precision
FP16
16-bit floating point
30TFLOPS The part supports 2:4 sparsity, but the vendor publishes no sparse figure for this precision
FP8
8-bit floating point
60TFLOPS The part supports 2:4 sparsity, but the vendor publishes no sparse figure for this precision
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
8-bit integer
121TOPS The part supports 2:4 sparsity, but the vendor publishes no sparse figure for this precision

The GeForce RTX 4060 8GB in the GPU landscape

Peak FP16 TFLOPS (dense) against TDP, single-GPU parts tracked by Flopper

06001,2001,8002,4003,0000 W250 W500 W750 W1000 W1250 W1500 WInstinct MI355XGeForce RTX 4060 8GB

Higher and further left is better: more half-precision throughput for less power.

Specifications

Architecture

Ada Lovelace

Form Factor

PCIe

Launch Year

2023

Process Node

4nm

Memory

8 GB GDDR6

Bandwidth

No verified data available

TDP

115 W

Max Power

115 W

CUDA Cores

3,072

Spec Confidence

Official

Full Specifications

Compute Engine
CUDA Cores 3,072
Tensor Cores 96 (4th Gen)
Streaming Multiprocessors 24
Base Clock 1.83 GHz
Boost Clock 2.46 GHz
Memory
VRAM 8 GB
Memory Type GDDR6
Bandwidth No verified data available
Interface Width 128-bit
Interconnect & I/O
PCIe 4.0
Power & Thermal
TDP 115 W
Max Board Power 115 W
Cooling Active
Enterprise Features
Sparsity Yes
General
Form Factor PCIe
Architecture Ada Lovelace
Process Node 4nm
Launch Year 2023

Datasheet & Resources

Data Provenance

Every figure traced to a source

Primary Source

Publisher
NVIDIA
Published
2023-05-18

Data Quality

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

Rent this GPU

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Frequently Asked Questions

How many TFLOPS does the NVIDIA GeForce RTX 4060 have?

The NVIDIA GeForce RTX 4060 delivers 15 TFLOPS FP32, 30 TFLOPS FP16 and 60 TFLOPS FP8 at peak.

What is the power consumption of the NVIDIA GeForce RTX 4060?

The NVIDIA GeForce RTX 4060 has a TDP (Thermal Design Power) rating of 115 watts.

How much memory does the NVIDIA GeForce RTX 4060 have?

The NVIDIA GeForce RTX 4060 is equipped with 8 GB of VRAM. Flopper does not currently have a verified memory bandwidth figure for it.

What architecture is the NVIDIA GeForce RTX 4060 based on?

The NVIDIA GeForce RTX 4060 is based on the Ada Lovelace architecture, launched in 2023.

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