Performance Rating
The Radeon RX 7950 XT was a graphics card by AMD, that was never released. Built on the 5 nm process, and based on the Navi 31 graphics processor, in its Navi 31 XT+ variant, the card supports DirectX 12 Ultimate. This ensures that all modern games will run on Radeon RX 7950 XT. Additionally, the DirectX 12 Ultimate capability guarantees support for hardware-raytracing, variable-rate shading and more, in upcoming video games. The Navi 31 graphics processor is a large chip with a die area of 529 mm² and 57,700 million transistors. Unlike the fully unlocked Radeon RX 7900 XTX, which uses the same GPU but has all 6144 shaders enabled, AMD has disabled some shading units on the Radeon RX 7950 XT to reach the product's target shader count. It features 5376 shading units, 336 texture mapping units, and 192 ROPs. The card also has 84 raytracing acceleration cores. AMD has paired 20 GB GDDR6 memory with the Radeon RX 7950 XT, which are connected using a 320-bit memory interface. The GPU is operating at a frequency of 2000 MHz, which can be boosted up to 3000 MHz, memory is running at 2500 MHz (20 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
Recommended PSU
Power Connector
TDP/TGP
Rendering
Texture Units (TMU)
ROP
L2 Cache
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
