pods
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action or later. Please see Debugging in WordPress for more information. (This message was added in version 6.7.0.) in /home/taknetsg/public_html/wp-includes/functions.php on line 6121Accelerate graphics workflows with the latest CUDA® cores for up to 2.5X single-precision floating-point (FP32) performance compared to the previous generation.
Produce more visually accurate renders faster with hardware-accelerated motion blur and up to 2X faster ray-tracing performance than the previous generation.
Boost AI and data science model training with up to 10X faster training performance compared to the previous generation with hardware-support for structural sparsity.
Repurpose your personal workstation into multiple high-performance virtual workstations with support for NVIDIA RTX Virtual Workstation (vWS) software.
Scale memory and performance across multiple GPUs with NVIDIA® NVLink™ to tackle larger datasets, models, and scenes.
Improve data-transfer speeds from CPU memory for data-intensive tasks with support for PCI Express Gen 4.
Leverage a dual-slot, power efficient design that’s 2.5X more power efficient than the previous generation and crafted to fit a wide range of workstations.
GPU Memory | 48GB GDDR6 |
Memory interface | 384-bit |
Memory bandwidth | 767 GB/s |
Error correction code (ECC) | Yes |
NVIDIA Ampere Lovelace architecture-based CUDA Cores | 10,752 |
NVIDIA third-generation Tensor Cores | 336 |
NVIDIA second-generation RT Cores | 84 |
Single-precision performance | 38.7 TFLOPS |
RT Core performance | 75.6 TFLOPS |
Tensor performance | 309.7TFLOPS |
NVIDIA NVLink | Connects two NVIDIA RTX A6000 GPUs |
NVIDIA NVLink Bandwidth | 112.5 GB/s (bidirectional) |
System interface | PCI Express 4.0 x16 |
Power consumption | Total board power: 300 W |
Thermal solution | Active |
Form factor | 4.4” H x 10.5” L, dual slot, full height |
Display connectors | 4x DisplayPort 1.4a |
Max simultaneous displays |
> 4x 4096 x 2160 @ 120 Hz
> 4x 5120 x 2880 @ 60 Hz
> 2x 7680 x 4320 @ 60 Hz |
Power connector | 1x 8-pin CPU |
Encode/decode engines | 1x encode, 2x decode (+AV1 decode) |
VR ready | Yes |
vGPU software support |
NVIDIA vPC/vApps
NVIDIA RTX Virtual Workstation
, NVIDIA Virtual Compute Server |
vGPU profiles supported | 1 GB, 2 GB, 3 GB, 4 GB, 6 GB, 8 GB, 12 GB, 16 GB, 24 GB, 48 GB |
Graphics APIs | DirectX 12.07, Shader Model 5.17, OpenGL 4.68, Vulkan 1.18 |
Compute APIs | CUDA, DirectCompute, OpenCL™ |
Speak with an expert to learn more.
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