Performance Rating
The RTX A1000 is a professional graphics card by NVIDIA, launched on April 16th, 2024. Built on the 8 nm process, and based on the GA107 graphics processor, the card supports DirectX 12 Ultimate. The GA107 graphics processor is an average sized chip with a die area of 200 mm² and 8,700 million transistors. Unlike the fully unlocked GeForce RTX 3050 8 GB GA107, which uses the same GPU but has all 2560 shaders enabled, NVIDIA has disabled some shading units on the RTX A1000 to reach the product's target shader count. It features 2304 shading units, 72 texture mapping units, and 32 ROPs. Also included are 72 tensor cores which help improve the speed of machine learning applications. The card also has 18 raytracing acceleration cores. NVIDIA has paired 8 GB GDDR6 memory with the RTX A1000, which are connected using a 128-bit memory interface. The GPU is operating at a frequency of 727 MHz, which can be boosted up to 1462 MHz, memory is running at 1500 MHz (12 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)
NVDEC Generation
NVDEC Chips
Decoding (NVDEC)
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
