NVIDIA GeForce GT 130 OEM

NVIDIA GeForce GT 130 OEM — 512 Гб DDR2, 48 ядер, GPI 0.6

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Performance Rating

The GeForce GT 130 OEM was a graphics card by NVIDIA, launched on March 10th, 2009. Built on the 55 nm process, and based on the G94B graphics processor, the card supports DirectX 11.1. Even though it supports DirectX 11, the feature level is only 10_0, which can be problematic with many DirectX 11 & DirectX 12 titles. The G94B graphics processor is an average sized chip with a die area of 196 mm² and 505 million transistors. Unlike the fully unlocked GeForce 9600 GT Rev. 2, which uses the same GPU but has all 64 shaders enabled, NVIDIA has disabled some shading units on the GeForce GT 130 OEM to reach the product's target shader count. It features 48 shading units, 24 texture mapping units, and 12 ROPs. NVIDIA has paired 512 MB DDR2 memory with the GeForce GT 130 OEM, which are connected using a 192-bit memory interface. The GPU is operating at a frequency of 500 MHz, memory is running at 500 MHz.

A100 A100
H200 H200
MI325X MI325X

NVIDIA GeForce GT 130 OEM

0.6

NVIDIA GeForce GT 130 OEM

0.6

Memory

Memory Size

512 MB

Memory Type

Memory Bandwidth

24.00 GB/s

Memory Bus Width

192 бит

ML Performance

FP16 (Half Precision)

No TFLOPS

BF16 (Brain Float)

No TFLOPS
311.84 TFLOPS
(NVIDIA A800 SXM4 80 GB)

TF32 (TensorFloat)

Compute Power

FP32 (Single Precision)

0.12 TFLOPS

FP64 (Double Precision)

No TFLOPS

CUDA Cores

Architecture & Compatibility

GPU Architecture

SM (Streaming Multiprocessor)

PCIe Version

PCIe 2.0 x16

ML Software Support

CUDA Version

Clocks & Performance

Base Clock

Memory Clock

Power Consumption

Recommended PSU

Power Connector

1x 6-pin

TDP/TGP

75 W
unknown
(NVIDIA CMP 70HX)

Rendering

Texture Units (TMU)

L2 Cache

48 KB

Additional

Slots

Single-slot
SXM Module
(NVIDIA B300)

Release Date

March 10, 2009
March 12, 2026
(Intel Arc B770)

Display Outputs

2x DVI
1x S-Video
Portable Device Dependent
(NVIDIA GeForce RTX 5090 Mobile)

Recommendations

Эта видеокарта не рекомендуется для гейминга или тяжелой работы с машинным обучением и AI. Она больше подходит для визуализации и простых задач, требующих небольшого объема памяти и низкого энергопотребления, таких как базовая обработка изображений или простые расчеты.

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