Vga Nvidia Quadro RTX8000 Passive 48GB GDDR6

Vga Nvidia Quadro RTX8000 Passive 48GB GDDR6

Turing GPU

4,608 NVIDIA CUDA Cores

576 NVIDIA Tensor Cores

72 NVIDIA RT Cores

48GB GDDR6 Memory

Up to 624GB/s Memory Bandwidth

80T RTX-OPS

10 Giga Rays/s Rays Cast

14.9 TFLOPS FP32 Performance

29.9 TFLOPS FP16 Performance

238.9 TOPS INT8 Performance

119.4 TFLOPS of Tensor Operation

Max. Power Consumption: 250W

NVLink Interconnect: 100GB/s

Thermal Solution: Passive Heatsink

Support Quadro vDWS

Max. Virtual Display Head Resolution: 4096 x 2160

Thông số chi tiết Card Vga Nvidia Quadro RTX8000 Passive 48GB GDDR6

 FP16 matrix multiply with FP16 or FP32 accumulate

Supported Platforms

• Microsoft Windows Server 2019
• Microsoft Windows Server 2016
• Microsoft Windows Server 2012 R2 (64-bit)
• Microsoft Windows Server 2008 R2 (64-bit)
• Microsoft Windows 10 (64-bit)
• Microsoft Windows 8 and 8.1 (64-bit)
• Microsoft Windows 7 (64-bit)
• Linux^® - Full OpenGL implementation, complete with NVIDIA and ARB extensions (64-bit)

3D Graphics Architecture

• Scalable geometry architecture
• Hardware tessellation engine
• NVIDIA^® GigaThread™ engine with 7 async copy engines
• Shader Model 5.1 (OpenGL 4.5 and DirectX 12)
• Up to 32K x 32K texture and render processing
• Transparent multisampling and super sampling
• 16x angle independent anisotropic filtering
• 32-bit per-component floating point texture filtering and blending
• 64x full scene antialiasing (FSAA)/128x FSAA in SLI Mode
• Decode acceleration for MPEG-2, MPEG-4 Part 2 Advanced Simple Profile, H.264, HEVC, MVC, VC1, DivX (version 3.11 and later), and Flash (10.1 and later)
• Dedicated H.264 & HEVC Encoder
• Blu-ray dual-stream hardware acceleration (supporting HD picture-in-picture playback)
• NVIDIA GPU Boost (Automatically improves GPU engine throughput to maximize application performance)

NVIDIA CUDA Parallel Processing Architecture

• New RT (Ray Tracing) Core per SM
• Turing SM Architecture (streaming multi-processor design that delivers greater processing efficiency)
• Dynamic Parallelism (GPU dynamically spawns new threads without going back to the CPU)
• Mixed-precision (1-, 4-, 8-, 16-, 32- and 64-bit) computing
• API support includes：
  - CUDA C, CUDA C++, DirectCompute 5.0, OpenCL, Java, Python and Fortran
• Error correction codes (ECC) on graphics memory
• Configurable up to 96 KB of RAM (dedicated shared memory size per SM)