Agenda S8539 - Pooling and Orchestrating NVIDIA Jetson for AI and - - PowerPoint PPT Presentation
Agenda S8539 - Pooling and Orchestrating NVIDIA Jetson for AI and - - PowerPoint PPT Presentation
Agenda S8539 - Pooling and Orchestrating NVIDIA Jetson for AI and Deep Learning on the Edge Overview of Composable Infrastructure Fabric and Software Architecture Overview Jetson Pooling and
2 PROPRIETARY & CONFIDENTIAL
Agenda
S8539 - Pooling and Orchestrating NVIDIA Jetson for AI and Deep Learning on the Edge
- Overview ¡of ¡Composable ¡Infrastructure
- Fabric ¡and ¡Software ¡Architecture ¡Overview
- Jetson ¡Pooling ¡and ¡Scaling ¡Use ¡Case
- Summary ¡-‑ Q&A
PROPRIETARY & CONFIDENTIAL 3
Agility Always.
Orchestrating the Composable Data Center
PROPRIETARY & CONFIDENTIAL – 4/27/2016 4
Liqid Delivers Composable Infrastructure
Liqid software and fabric technology enables bare metal provisioning and management of data center resources
Storage Network Compute GPU Fabric
PROPRIETARY & CONFIDENTIAL 5
Impact of Composable
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Trillions of Global Data Transfers Traditional Infrastructure Converged & HyperConvrged Composable Infrastructure
( agile, efficient, scalable)
Disaggregated Resources
( Fabric & Software )
PAST PRESENT FUTURE
Data Center Roadmap
PROPRIETARY & CONFIDENTIAL
PROPRIETARY & CONFIDENTIAL 7
Liqid enables Composable Infrastructure with a PCIe fabric and software that orchestrates and manages bare-metal servers
Composable Fabric
PCIe is the ONLY common interconnect for ALL data center resources
Storage Pool Compute Pool Networking Pool
Software Defined Data Center
Dynamically Configure Bare Metal Servers Disaggregated Pools of Physical Resources
Server-1 Server-2 Server-N
Fabric
PROPRIETARY & CONFIDENTIAL
Graphics Pool
9 PROPRIETARY & CONFIDENTIAL
Jetson Specification
Embedded PCIe Interface (Gen2x4)
10 PROPRIETARY & CONFIDENTIAL
Benefits:
- Low Power
- Small Form Factor
- Powerful GPU
- Onboard Compute
Limitations:
- Limited Storage
- Limited Networking
- No Standard Deployment Chassis for Scale Out
Fabric Based Deployment on Jetson:
- Enables scale-out in data center environments
- Enables expanded storage
- Enables expanded networking
Jetson Overview
Storage Pool Networking Pool Fabric
PROPRIETARY & CONFIDENTIAL 11
Universal PCIe Expansion Chassis
2U 24-Bay Chassis (24x Gen3 x4 Sockets) Off-the-Shelf Storage
(U.2, MLC, 3D, Xpoint, HDD, etc.)
Storage
Off-the-Shelf Networking
(Eth, FC, IB, SAS, etc.)
Networking
PCIe Fabric Switch
GPU
Jetson GPU
PROPRIETARY & CONFIDENTIAL 12
Universal PCIe Expansion Chassis
2U 24-Bay Chassis (24x Gen3 x4 Sockets)
Storage Networking GPU
Storage Up ¡to ¡24x ¡U.2 ¡SSD ¡= ¡192 ¡TB Networking Up ¡to ¡48x ¡Networking ¡Ports ¡(Eth, ¡FC, ¡IB, ¡etc..) GPU Up ¡to ¡24x ¡Jetson ¡Modules Management ¡SW Liqid ¡OS ¡Orchestration ¡Software
13 PROPRIETARY & CONFIDENTIAL
Storage Pool Networking Pool GPU Pool Fabric Switch
Machine-1 Machine-2 Machine-N
Fabric
Dynamic GPU Super Cluster
Architecture Overview
Dynamic Bare Metal Machines Creation
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Enhanced Jetson Use Cases
PROPRIETARY & CONFIDENTIAL
- Jetson in Edge Servers
- Jetson Scale-out in Data Center
15 PROPRIETARY & CONFIDENTIAL
Edge Computing Use Case
Edge Deployment Requirement:
- Multi-Server Deployment
- Low Power
- Small Form Factor
- Requires GPU
- Requires Compute
- Requires 4TB of Storage Per Server
- Requires 2x 10Gbe Networking Ports
Option #1) x86 + GPU Server:
- 1x Tesla P100
- Intel Xeon 2.5GHz CPU
- 4TB of SSD
- 2x 10Gbe Networking ports
Option #2) Jetson Server:
- 1x Jetson TX2
- CPU + GPU Combo
- 4TB of SSD
- 2x 10Gbe Networking ports
16 PROPRIETARY & CONFIDENTIAL
Jetson Server vs. x86 Server
Jetson Server x86 + GPU Server GPU 8 W 250 W Compute 0 W 125 W Storage 15 W 15 W Networking 15 W 15 W Total Power 38 W 395 W Server Cost $2,750 $13,500 Form Factor 8x Servers per 2U 1x Server per 2U Watts / Core .029 W .105 W Cost / Core $1.17 $3.07
90% 90% Lo Lower r Po Power 85% 85% Sm Smaller Fo Footpri rint
Jetson Servers (Fabric Based Server) Legacy Servers (2RU Server Chassis)
Jetson Enables Lower Power and Smaller Footprint
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Jetson in the Data Center
PROPRIETARY & CONFIDENTIAL
Example of Neural Net Model Built/Trained on Tesla and Deployed on Jetson for Inference
Jetson deployed on PCIe Fabric can also be used for Training
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Inference & Training on Jetson
PROPRIETARY & CONFIDENTIAL
Inference on Jetson in the Field Training on Jetson in the Data Center
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Jetson Performance
PROPRIETARY & CONFIDENTIAL
Composed Jetson + NVMe SSD Performance: 1.63 GB/s and 160K IOPS
20 PROPRIETARY & CONFIDENTIAL
Summary
- Jetson ¡(and ¡Pegasus) ¡are ¡powerful, ¡small ¡form ¡factor
- Limited ¡in ¡direct ¡connected ¡storage, ¡networking, ¡and ¡scaling ¡capabilities
- Deploying ¡Jetson ¡on ¡a ¡PCIe ¡fabric ¡enables:
- Expanded ¡Storage
- Expanded ¡Networking
- Standard ¡form ¡factor ¡method ¡of ¡deployment
- Summary ¡-‑ Q&A
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