Performance Rating
The GeForce RTX 4050 Mobile is a mobile graphics chip by NVIDIA, launched on January 3rd, 2023. Built on the 5 nm process, and based on the AD107 graphics processor, in its GN21-X2 variant, the chip supports DirectX 12 Ultimate. This ensures that all modern games will run on GeForce RTX 4050 Mobile. Additionally, the DirectX 12 Ultimate capability guarantees support for hardware-raytracing, variable-rate shading and more, in upcoming video games. The AD107 graphics processor is an average sized chip with a die area of 159 mm² and 18,900 million transistors. Unlike the fully unlocked GeForce RTX 4060, which uses the same GPU but has all 3072 shaders enabled, NVIDIA has disabled some shading units on the GeForce RTX 4050 Mobile to reach the product's target shader count. It features 2560 shading units, 80 texture mapping units, and 48 ROPs. Also included are 80 tensor cores which help improve the speed of machine learning applications. The card also has 20 raytracing acceleration cores. NVIDIA has paired 6 GB GDDR6 memory with the GeForce RTX 4050 Mobile, which are connected using a 96-bit memory interface. The GPU is operating at a frequency of 1455 MHz, which can be boosted up to 1755 MHz, memory is running at 2000 MHz (16 Gbps effective).
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
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
