Performance Rating
The Radeon RX 6750 GRE 10 GB is a performance-segment graphics card by AMD, launched on October 17th, 2023. Built on the 7 nm process, and based on the Navi 22 graphics processor, in its Navi 22 XTL variant, the card supports DirectX 12 Ultimate. This ensures that all modern games will run on Radeon RX 6750 GRE 10 GB. Additionally, the DirectX 12 Ultimate capability guarantees support for hardware-raytracing, variable-rate shading and more, in upcoming video games. The Navi 22 graphics processor is a large chip with a die area of 335 mm² and 17,200 million transistors. Unlike the fully unlocked Radeon RX 6700 XT, which uses the same GPU but has all 2560 shaders enabled, AMD has disabled some shading units on the Radeon RX 6750 GRE 10 GB to reach the product's target shader count. It features 2304 shading units, 144 texture mapping units, and 64 ROPs. The card also has 36 raytracing acceleration cores. AMD has paired 10 GB GDDR6 memory with the Radeon RX 6750 GRE 10 GB, which are connected using a 160-bit memory interface. The GPU is operating at a frequency of 1941 MHz, which can be boosted up to 2450 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
