The 8 GB card, rated at 160 W against the 16 GB version's 165 W. Compute is identical; the memory size and that 5 W are the only differences NVIDIA publishes.

NVIDIA GeForce RTX 4060 Ti 8GB

Ada Lovelace PCIe 2023 4nm Spec confidence: Official
FP8 (dense)
88
TFLOPS
FP32
22
TFLOPS
VRAM
8 GB
GDDR6
TDP
160 W
137.9 TFLOPS/kW

Overview

The 8 GB GeForce RTX 4060 Ti is the original May 2023 card, with the same 4,352 CUDA cores, 136 fourth-generation Tensor cores and 128-bit GDDR6 bus as the 16 GB version that followed in July. It reaches the same 22.1 TFLOPS of FP32 and 88.3 TFLOPS of dense FP8, and the same 32 MB L2 cache. Eight gigabytes is the practical limit on what it can do for AI: small quantised models and image work fit, anything at 13B or above does not. It draws 160 W and runs from a 550 W supply, which keeps it viable in ordinary desktops.

Performance

Peak theoretical throughput by precision type

PrecisionDense2:4 Sparse
FP64
64-bit floating point
0.3TFLOPS Structured sparsity is a tensor-core feature; this vector precision has no sparse form
FP32
32-bit floating point
22TFLOPS Structured sparsity is a tensor-core feature; this vector precision has no sparse form
TF32
TensorFloat-32
22TFLOPS The part supports 2:4 sparsity, but the vendor publishes no sparse figure for this precision
BF16
Brain Float 16
44TFLOPS The part supports 2:4 sparsity, but the vendor publishes no sparse figure for this precision
FP16
16-bit floating point
44TFLOPS The part supports 2:4 sparsity, but the vendor publishes no sparse figure for this precision
FP8
8-bit floating point
88TFLOPS 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
177TOPS The part supports 2:4 sparsity, but the vendor publishes no sparse figure for this precision

The GeForce RTX 4060 Ti 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 Ti 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

160 W

Max Power

160 W

CUDA Cores

4,352

Spec Confidence

Official

Full Specifications

Compute Engine
CUDA Cores 4,352
Tensor Cores 136 (4th Gen)
Streaming Multiprocessors 34
Base Clock 2.31 GHz
Boost Clock 2.54 GHz
Memory
VRAM 8 GB
Memory Type GDDR6
Bandwidth No verified data available
Interface Width 128-bit
Interconnect & I/O
PCIe 4.0
Cache
L2 Cache 32 MB
Power & Thermal
TDP 160 W
Max Board Power 160 W
Cooling Active
Enterprise Features
Sparsity Yes
Physical & Media
Card Length 244 mm
Width 2-slot
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

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Frequently Asked Questions

How many TFLOPS does the NVIDIA GeForce RTX 4060 Ti have?

The NVIDIA GeForce RTX 4060 Ti delivers 22 TFLOPS FP32, 44 TFLOPS FP16 and 88 TFLOPS FP8 at peak.

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

The NVIDIA GeForce RTX 4060 Ti has a TDP (Thermal Design Power) rating of 160 watts.

How much memory does the NVIDIA GeForce RTX 4060 Ti have?

The NVIDIA GeForce RTX 4060 Ti 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 Ti based on?

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

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