Performance Rating
The GeForce 9700M GTS was a mobile graphics chip by NVIDIA, launched on July 29th, 2008. Built on the 65 nm process, and based on the G94 graphics processor, in its NB9E-GS variant, the chip 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 G94 graphics processor is an average sized chip with a die area of 240 mm² and 505 million transistors. Unlike the fully unlocked GeForce 9600 GT, which uses the same GPU but has all 64 shaders enabled, NVIDIA has disabled some shading units on the GeForce 9700M GTS to reach the product's target shader count. It features 48 shading units, 24 texture mapping units, and 16 ROPs. NVIDIA has paired 512 MB GDDR3 memory with the GeForce 9700M GTS, which are connected using a 256-bit memory interface. The GPU is operating at a frequency of 530 MHz, memory is running at 800 MHz.
Contents:
Memory ML Performance Compute Power Architecture & Compatibility ML Software Support Clocks & Performance Power Consumption Rendering AdditionalMemory
Memory Size
Memory Type
Memory Bandwidth
Memory Bus Width
ML Performance
FP16 (Half Precision)
BF16 (Brain Float)
TF32 (TensorFloat)
Compute Power
FP32 (Single Precision)
FP64 (Double Precision)
CUDA Cores
RT Cores
Architecture & Compatibility
GPU Architecture
SM (Streaming Multiprocessor)
PCIe Version
ML Software Support
CUDA Version
Clocks & Performance
Base Clock
Boost Clock
Memory Clock
Power Consumption
TDP/TGP
Recommended PSU
Power Connector
Additional
Slots
Release Date
Display Outputs
Recommendations
Эта видеокарта NVIDIA GeForce 9700M GTS хорошо подходит для офисных задач и простой графики в играх. Она не предназначена для сложных вычислений, машинного обучения или мощного рендеринга из-за ограниченных ресурсов. Архитектура Tesla также не оптимизирована для этих задач.
Renting is cheaper than buying
H100 80Gb SXM (80GB)
NVIDIA
Флагманская GPU на архитектуре Hopper с 80 ГБ памяти HBM3 в форм-факторе SXM. Создана для обучения и инференса больших языковых моделей, HPC задач. Поддерживает FP64, FP32, TF32, FP16, BF16, FP8 и INT8 вычисления с Tensor Cores 4-го поколения.
from 299.11 RUB/hour
