NVIDIA GPU CLOUD PLATFORM UPDATE. NVIDIA 서완석이사

Transcription

1 NVIDIA GPU CLOUD PLATFORM UPDATE NVIDIA 서완석이사

2 THEIR OPPORTUNITIES & CHALLENGES More complex designs Larger data (4K & beyond) New Cloud workflows Follow-the-Sun design teams BYOD & Mobile capabilities BIG DATA THE CLOUD COLLABORATION MOBILE

3 Visualize Larger Data Sets LARGER GPU MEMORY + HIGHER PERFORMANCE Implement New Cloud Workflows OPTIMIZED FOR REMOTE RENDERING Collaborate Across Teams

4 3D Graphic VDI with NVIDIA GRID + vgpu HP Z Virtual Workstation

5 NVIDIA GRID 클라우드 GPU NVIDIA GRID K2 디자이너 NVIDIA GRID K1 파워유저 GPU 4 Kepler GPUs 2 High End Kepler GPUs CUDA Cores 768 (192/GPU) 3072 (1536/GPU) Memory Size 16GB DDR3 (4GB/GPU) 8GB GDDR5 (4GB/GPU) 일반사무직 Max Power 130 W 225 W 동일수준 Quadro Quadro K600 (entry) Quadro K5000 (high end) 1 Number of users depends on software solution, workload, and screen resolution

6 NVIDIA GRID 그래픽옵션

7 VDI Virtual Workstation NVDIA GRID 와 VMware 로드맵 Q Q Q VMware vdga Dedicated GPU DESIGNER View 5.3 or higher vsphere 5.1 or higher VMware vgpu View 6 or higher vsphere 6 or higher POWER USER VMware vsga Software Virtualization View 5.2 or higher vsphere 5.1 or higher KNOWLEDGE WORKER

8 VMware EUC vgpu 구성요소 GRID GPU 가상화 S/W 서버플랫폼 VMware vsphere 6.0 or Higher NVIDIA GRID K1 VMware Horizon View 6.0 or Higher NVIDIA GRID vgpu Manager NVIDIA GRID vgpu Driver NVIDIA GRID K2

9 GRID K2 GRID K1 VMware EUC vgpu Profile GPU 구분 vgpu 프로필 최대사용자 최대해상도 비디오메모리 K180Q x1600 4GB K160Q x1600 2GB K140Q x1600 1GB K120Q x MB K x MB K280Q x1600 4GB K260Q x1600 2GB K240Q x1600 1GB K220Q x MB K x MB

10 vgpu Early Access Program VMware vsphere 의 NVIDIA GRID vgpu 를출시전미리경험해보실수있는 Early Access Program 이제공됩니다. 이프로그램은우선엑세스요구사항을충족하는고객에게만한정적으로제공됩니다. 요구사항은다음과같습니다. VMware 계정보유 NVIDIA GRID K1/K2에서 vsga 혹은 vdga 사용중 VMware Horizon View ( 정식 / 평가판 ) 사용중 vsphere 2015 Beta Access -vgpu-early-access-kr.html

11 CHALLENGES Photo Realistic Rendering Is Computationally Expensive Long rendering time Constrains creativity Reduces productivity Limited accessibility

12 GTC Keynote Recap Honda At Honda Japan: Early Iray IQ adopter 25 8xGPU servers close in spec to the Iray VCA Used for design inspection on original automotive data (typ m triangles)

13 GPU RENDERING In real time on 4K screen

14 NVIDIA VCA (VISUAL COMPUTING APPLIANCE) Fastest GPU rendering on a single node; scalability across multiple nodes Turnkey appliance engineered by NVIDIA expressly for rendering Network availability for multiple users Rendered in Iray / Vray-RT on VCA

15 TIME IN SECONDS TO RENDER IMAGE Base: Xeon X5650 CPU 22 MINUTES Entry: Base + Quadro K Mid: Base + Quadro K Base: Xeon X5650 CPU Entry: Base + Quadro K minutes 4.5x faster VCA 11.6 Mid: Base + Quadro K x faster 16 VCA 0.7 VCA 111x faster 16 VCAs 1800x faster

16 Iray IQ Workflow Flexibility Image Streams Incremental Changes 3D Model Design done by HP Zbook Mobile workstation as it is, then Use VCA as render machine No Networking Expertise Required Easy to manage VCA cluster through network Iray VCAs VCA Cluster Manager Remote Clients

17 V-RAY RT FOR FINAL FRAME RENDERING V-Ray RT 3.0 New Features Render Elements, allowing layers of final frames to be individually rendered for assembly in compositing application X performance acceleration over CPU-based V-Ray

18 GPU RENDERING FOR POPULAR 3D APPLICATIONS Autodesk 3ds Max Autodesk Maya McNeel Rhino Trimble SketchUp Dassault Systemes Bunkspeed