News/Info NVIDIA Unveils RTX A6000 Ampere Professional Graphics Card

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NVIDIA Unveils RTX A6000 Ampere Professional Graphics Card
by Как увидеть ссылки? | How to see hidden links? on: 10/05/2020 03:15 PM
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NVIDA just launched the RTX A6000, based on Ampere and a Professional Graphics Card series which holds 48GB of GPU memory. Double-speed processing for single-precision floating point (FP32) operations and improved power efficiency provide significant performance improvements.
With this release, NVIDIA is saying goodby to the Quadro brand it seems. The card is based on an 8 nm "GA102" GPU, the same as the GeForce RTX 3080 holds, but configured differently with for example that enormous 48 GB of GDDR6 memory along with ECC support. The new cards for workstations and servers have the GPU fully enabled, which is good for 10,752 Cuda cores. The GPUs for gamers have a partially disabled GPU, with 10,496 and 8704 cores for the RTX 3090 and 3080 respectively.

Second-Generation RT Cores
With up to 2X the throughput over the previous generation and the ability to concurrently run ray tracing with either shading or denoising capabilities, second-generation RT Cores deliver massive speedups for workloads like photorealistic rendering of movie content, architectural design evaluations, and virtual prototyping of product designs. This technology also speeds up the rendering of ray-traced motion blur for faster results with greater visual accuracy.

Third-Generation Tensor Cores
New Tensor Float 32 (TF32) precision provides up to 5X the training throughput over the previous generation to accelerate AI and data science model training without requiring any code changes. Hardware support for structural sparsity doubles the throughput for inferencing. Tensor Cores also bring AI to graphics with capabilities like DLSS, AI denoising, and enhanced editing for select applications.

48 Gigabytes (GB) of GPU Memory
Ultra-fast GDDR6 memory, scalable up to 96 GB with NVLink, gives data scientists, engineers, and creative professionals the large memory necessary to work with massive datasets and workloads like data science and simulation.

Virtualization-Ready
Support for NVIDIA virtual GPU (vGPU) software allows a personal workstation to be repurposed into multiple high-performance virtual workstation instances  enabling remote users, to share resources to drive high-end design, AI, and compute workloads.*

PCI Express Gen 4
Support for PCI Express Gen 4 provides double the bandwidth of PCIe Gen 3, improving data-transfer speeds from CPU memory for data-intensive tasks like AI and data science.

Power Efficiency
Featuring a dual-slot, power efficient design, the RTX A6000 is up to 2X more power efficient than Turing GPUs and crafted to fit into a wide range of workstations from worldwide OEM vendors.



Nvidia video cards for workstations and data centers
RTX A6000A40RTX 8000GV100
Cuda cores107521075246085120
Tensor scores336336576640
Boostclock??1770MHz~ 1450MHz
Memory speed16Gbps GDDR614.5Gbps GDDR614Gbps GDDR61.7Gbps HBM2
Memory bus384-bit384-bit384-bit4096-bit
Vram48GB48GB48GB32GB
EccPartly (dram)Partly (dram)Partly (dram)Fully
Half Precision??32.6 TFLOPS29.6 TFLOPS
Single Precision??16.3 TFLOPS14.8 TFLOPS
Tensor Performance??130.5 TFLOPS118.5 TFLOPs(FP16)
TDP300W300W295W250W
CoolingActivePassiveActiveActive
NVLink1x NVLink3112.5GB / sec1x NVLink3112.5GB / sec1x NVLInk250GB / sec2x NVLInk2100GB / sec
GPUGA102GA102TU102GV100
ArchitectureAmpereAmpereTuringVolta
Manufacturing ProcessSamsung 8nmSamsung 8nmTSMC 12nm FFNTSMC 12nm FFN
Launch Price??$ 10,000$ 9,000
Launch Date12/2020Q1 2021Q4 2018March 2018
Table AnandTech.

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