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LEADTEK NVIDIA QUADRO RTX6000 PASSIVE (TURING GPU,4608 CUDA CORES,24GB GDDR6)

Mã sản phẩm: Leadtek-RTX6000-Passive

GPU Architecture	Turing
CUDA Parallel Processing cores	4608
NVIDIA Tensor Cores	576
NVIDIA RT Cores	72
Frame Buffer Memory	24 GB GDDR6
RTX-OPS	80T
Rays Cast	10 Giga Rays/Sec
Peak Single Precision (FP32) Performance	14.9 TFLOPS
Peak Half Precision (FP16) Performance	29.9 TFLOPS
Peak Integer Operation (INT8) Performance	238.9 TOPS
Deep Learning TeraFLOPS1	119.4 Tensor TFLOPS
Memory Interface	384-bit
Memory Bandwidth	624 GB/s
Max Power Consumption	250 W
Graphics Bus	PCI Express 3.0 x16
Form Factor	4.4” H x 10.5” L Dual Slot
Product Weight	1200 g
Thermal Solution	Passive
NVLink Interconnect	100 GB/s

1 FP16 matrix multiply with FP16 or FP32 accumulate

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)

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)

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)