Quadro RTX A6000 NVIDIA high-performance professional graphics GPU built for advanced visualization, AI workloads, and large-scale computational tasks across engineering, media, healthcare, and scientific applications

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2025/12/12 6
Quadro RTX A6000 NVIDIA high-performance professional graphics GPU built for advanced visualization, AI workloads, and large-scale computational tasks across engineering, media, healthcare, and scientific applications


• Large 48 GB ECC GDDR6 memory with high bandwidth for massive datasets.
• Advanced GPU compute via CUDA cores, Tensor Cores, and RT Cores.
• Real-time hardware ray tracing with optimized AI acceleration.
• Professional driver and software support with ISV certification.
• Workstation-class reliability for continuous operation in demanding systems.


CATALOG
QUADRO RTX A6000 PARAMETRIC INFO
QUADRO RTX A6000 PACKAGE INFO
QUADRO RTX A6000 APPLICATIONS


PARAMETRIC INFO
GPU Architecture
NVIDIA Ampere (2nd-gen RT Cores, 3rd-gen Tensor Cores)
CUDA Cores
Extremely high count (official NVIDIA datasheet: ~10,752)
Tensor Cores
3rd or 4th gen with FP16/FP8 support for AI/Deep Learning
RT Cores
2nd gen hardware ray tracing acceleration
GPU Memory
48 GB GDDR6** with ECC (Error-Correcting Code)
Memory Interface
384-bit
PCI Express Interface
PCIe 4.0 x16
Max Power Consumption
Typically ~300 W range (varies by board partner)


PACKAGE INFO
• Form Factor: Full-length, dual-slot professional GPU card suitable for 4U/desktop workstations.
• Cooling: Typically active (blower or dual fan) cooling solution designed for workstation chassis airflow and heat dissipation.
• Power Connectors: Standard high-capacity PCIe power connectors (e.g., 8-pin/16-pin combos) depending on board partner implementation.
• Memory & Reliability: ECC-enabled memory buffer with large capacity for data integrity in demanding workloads.
• Compatibility: Supported by PCIe 4.0 ×16 slots in workstations and servers.


APPLICATIONS
• 3D Modeling & Visualization: Large scenes, real-time ray tracing, photorealistic rendering for architecture, product design, and VFX.
• Simulation & Engineering: CFD, FEA, physics simulation, and CAD workloads requiring high FP64/FP32 compute.
• AI / Machine Learning / Deep Learning: Training and inference acceleration with Tensor Cores and mixed precision support.
• Media & Entertainment: 8K video editing, compositing, animation, and motion graphics workflows.
• Scientific Computing & Data Science: GPU-accelerated research, data analysis, and high-performance computing workflows.
• Virtual Workstations & Remote GPU: vGPU solutions for distributed design, CAD, visualization, and enterprise cloud workloads.
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