Performance Rating
The GeForce RTX 2080 SUPER is an enthusiast-class graphics card by NVIDIA, launched on July 23rd, 2019. Built on the 12 nm process, and based on the TU104 graphics processor, in its TU104-450-A1 variant, the card supports DirectX 12 Ultimate. This ensures that all modern games will run on GeForce RTX 2080 SUPER. Additionally, the DirectX 12 Ultimate capability guarantees support for hardware-raytracing, variable-rate shading and more, in upcoming video games. The TU104 graphics processor is a large chip with a die area of 545 mm² and 13,600 million transistors. It features 3072 shading units, 192 texture mapping units, and 64 ROPs. Also included are 384 tensor cores which help improve the speed of machine learning applications. The card also has 48 raytracing acceleration cores. NVIDIA has paired 8 GB GDDR6 memory with the GeForce RTX 2080 SUPER, which are connected using a 256-bit memory interface. The GPU is operating at a frequency of 1650 MHz, which can be boosted up to 1815 MHz, memory is running at 1937 MHz (15.5 Gbps effective).
Contents:
Memory ML Performance Compute Power Architecture & Compatibility ML Software Support Clocks & Performance Power Consumption Rendering NVENC / NVDEC 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
NVENC / NVDEC
NVENC Generation
NVENC Chips
Max Encoding Sessions
Encoding (NVENC)
Additional
Slots
Release Date
Display Outputs
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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.
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