Performance Rating
The Radeon RX 6600 LE is a graphics card by AMD, launched on December 8th, 2023. Built on the 7 nm process, and based on the Navi 23 graphics processor, in its Navi 23 XL variant, the card supports DirectX 12 Ultimate. This ensures that all modern games will run on Radeon RX 6600 LE. Additionally, the DirectX 12 Ultimate capability guarantees support for hardware-raytracing, variable-rate shading and more, in upcoming video games. The Navi 23 graphics processor is an average sized chip with a die area of 237 mm² and 11,060 million transistors. Unlike the fully unlocked Radeon RX 6600 XT, which uses the same GPU but has all 2048 shaders enabled, AMD has disabled some shading units on the Radeon RX 6600 LE to reach the product's target shader count. It features 1792 shading units, 112 texture mapping units, and 64 ROPs. The card also has 28 raytracing acceleration cores. AMD has paired 8 GB GDDR6 memory with the Radeon RX 6600 LE, which are connected using a 128-bit memory interface. The GPU is operating at a frequency of 1626 MHz, which can be boosted up to 2495 MHz, memory is running at 1750 MHz (14 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
