Performance Rating
The Arc A350 is a graphics card by Intel, launched in 2022. Built on the 6 nm process, and based on the DG2-128 graphics processor, in its ACM-G11 variant, the card supports DirectX 12 Ultimate. This ensures that all modern games will run on Arc A350. Additionally, the DirectX 12 Ultimate capability guarantees support for hardware-raytracing, variable-rate shading and more, in upcoming video games. The DG2-128 graphics processor is an average sized chip with a die area of 157 mm² and 7,200 million transistors. Unlike the fully unlocked Arc A380, which uses the same GPU but has all 1024 shaders enabled, Intel has disabled some shading units on the Arc A350 to reach the product's target shader count. It features 768 shading units, 48 texture mapping units, and 24 ROPs. Also included are 96 tensor cores which help improve the speed of machine learning applications. The card also has 6 raytracing acceleration cores. Intel has paired 4 GB GDDR6 memory with the Arc A350, which are connected using a 64-bit memory interface. The GPU is operating at a frequency of 2000 MHz, which can be boosted up to 2000 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 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
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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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