NVIDIA Quadro RTX 8000 48GB GDDR6 Turing Ray Tracing Workstation Graphic Card for Education ONLY
48GB PNY NVIDIA Quadro RTX 8000, 4608 CUDA/576 Tensor, 72 RT Cores, GDDR6, 16.3 TFLOPS FP32, VirtualLink, Education ONLY
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This PNY Quadro RTX card is available for educational institutions ONLY. If you are educational institution interested in this product, please contact the SCAN Managed Account Team by telephone to discuss your requirements. If you do not meet the requirement of being an educational institution & are still interested in purchasing the Quadro RTX graphics card, PLEASE CLICK HERE FOR THE REGULAR RETAIL CARD.
The World’s First Ray Tracing GPU
NVIDIA® Quadro RTX™ 8000, powered by the NVIDIA Turing™ architecture and the NVIDIA RTX™ platform, combines unparalleled performance and memory capacity to deliver the world’s most powerful graphics card solution for professional workflows. Creative and technical professionals can now wield the power of hardware-accelerated ray tracing, AI and advanced shading to boost productivity and create amazing content faster than ever before.
The Quadro RTX 8000 features 72 RT cores for real-time ray tracing and 576 Tensor Cores for AI enhanced workflows, resulting in over 130 TFLOPS of deep learning performance. With 48 GB of GDDR6 memory, scalable to 96 GB with NVIDIA NVLink technology, the Quadro RTX 8000 is designed to work with the most memory intensive workloads like creating the most complex models, building massive architectural datasets, visualizing immense data science workloads, working with 8K movie content in real time, and speeding up high resolution final frame rendering. VirtualLink® provides connectivity to next-generation, high-resolution VR HMDs to let you view your work in the most compelling virtual environments. The NVIDIA Quadro RTX 8000 redefines what’s possible.
Incredible Application Performance
• Experience fast, interactive, professional application performance
• Latest NVIDIA Turing GPU architecture and ultra-fast graphics memory
New RT Cores for Realtime Ray Tracing
• 72 RT Cores accelerate photorealistic ray-traced rendering
• NVIDIA RTX technology brings realtime rendering to professionals
Tensor Cores Accelerate AI Workflows
• 576 Tensor Cores power AI development and training
• Incredible inferencing performance is ideal for “at the edge” deployment
Next Generation VR Support
• VirtualLink simplifies HMD cabling
• Advanced rendering and shading features for immersive VR
Quadro RTX NVLink
• Scales memory and performance for the largest visual computing workloads
• Faster than PCIe-based solutions and offers flexible configurations
• Tensor Cores: 576
• RT Cores: 84T
• Interface: PCIe 3.0 x16.
• Memory: 48GB GDDR6.
• Memory Bandwidth: Up to 672 GB/s.
• Power Consumption: 295W.
• Thermal Solution: Ultra-quiet active fansink.
|Graphics Chipset||Quadro RTX 8000|
|Manufacturing process||12 nm|
|GPU Name||1x TU102GL|
|Cores & Clocks|
|NVIDIA CUDA Cores||4608|
|Core Clock||1350 MHz|
|Video Memory (VRAM)|
|Memory Size||48 GB|
|Memory Clock||1750 MHz|
|Memory Bit Rate||384 Bit|
|Memory Bandwidth||672 GB/s|
|I/O & Connectivity|
|Interface||PCIe 3.0 (x16)|
|Multi GPU Support||2-Way NVLink|
|NVLink Support||Upto 2x Quadro RTX 8000 GPUs via NVLink|
|Total NVLink Bandwidth||100 GB/s|
|Microsoft DirectX Support|
|Multi Monitor Support||4 Displays|
|H.264 1080p30 Streams||N/A|
|Maximum Digital Resolution||7680x4320 @ 60Hz (8K UHD)|
|Maximum VGA Resolution||N/A|
|Supported Graphics APIs||
|Supported Compute APIs||CUDA|
|Single Precision (FP32) Processing||Yes|
|Single Precision (FP32) Performance||16.3 teraFLOPS|
|Double Precision (FP64) Processing||Yes|
|Double Precision (FP64) Performance||0.509 teraFLOPS|
|Deep Learning (Tensor) Performance|
|NVIDIA Tensor Cores||576|
|Integer Operations (INT8)|
|NVIDIA RT Cores||72|
|Rays Cast||10 Giga Rays/Sec|
|Power & Thermals|
|Graphics Card Power Connectors||1 x 8-pin PCIe|
|Board Power||295 W|
|Minimum Recommended PSU|
|Maximum GPU Temperature|
|Form Factor||Dual Slot|
|Low Profile Compatible||No|
|Low Profile Support||N/A|
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