NVIDIA GPUs in the Cloud
4 EVOLVING CLOUD REQUIREMENTS On Off Hybrid Cloud premises premises Connecting clouds New workloads Components to disrupt SOFTLAYER CAPABILITIES OVERVIEW
5 GLOBAL CLOUD PLATFORM Unified architecture enabled by powerful software Only infrastructure solution with a common management interface and API across a unified architecture. Mix and match bare metal servers, virtual servers and turnkey private clouds, and manage them from a single control pane or API. All deployed on-demand and provisioned automatically in real time. SOFTLAYER CAPABILITIES OVERVIEW
6 GLOBAL FOOTPRINT SOFTLAYER CAPABILITIES OVERVIEW
7 DATA CENTER POD DESIGN Each data center consists of four or more “pods.” Each pod includes: Network Power • 10,000 ft 2 Battery Backup isolated zone Generators • 2 megawatts (n+1 power) Server Racks Storage • 150 racks • 4,000 physical nodes Environmental • Firewalls, Controls load balancers, Security and storage SOFTLAYER CAPABILITIES OVERVIEW
8 TRIPLE-NETWORK ARCHITECTURE • High-performance public network with transit from multiple tier-1 carriers • Secure OOB management via VPN • Private network for intra-application and inter-facility communications, access to shared services • Native IPv6 support • Virtual racks for integrated management • Complete suite of network services SOFTLAYER CAPABILITIES OVERVIEW
9 ROBUST, FULL-FEATURED API • Improves customer Functions include: control, reduces error, • Automatic server increases flexibility deployment • Service provisioning • SoftLayer API • Reboots and reloads supports 3,841 • Ticketing function calls to over • Hardware 279 services configuration • Software load • Supports REST, • DNS SOAP and XML-RPC • Network interfaces • Storage • Security scans • Enables full • Monitoring auto-scaling implementations • Comprehensive documentation, libraries, and support SOFTLAYER CAPABILITIES OVERVIEW
10 HOW IT ALL FITS TOGETHER SoftLayer Infrastructure Management System • Bare metal and virtual server provisioning • Integrated BSS/OSS • Comprehensive network management Data Center & Pods • Standardized, modular hardware configs • Lower inventory carrying costs • Maximize asset utilization and profitability • Increase provisioning flexibility • Simplify capacity management • Globally consistent service portfolio Triple Network • Proprietary network architecture • Pod design allows customers grow across multiple racks or rows in the same layer 2/3 domain as needed. SOFTLAYER CAPABILITIES OVERVIEW
11 SOFTLAYER ADVANTAGES Complete control, Seamless fault-tolerant, access, and transparency multi-site topography Single-tenant and Complete portfolio available multi-tenant environments on-demand in all data centers SOFTLAYER CAPABILITIES OVERVIEW
14 SOFTLAYER CUSTOMER MOMENTUM Software as a Service Moving to the Cloud Using Next Gen enterprise applications SOFTLAYER CAPABILITIES OVERVIEW
15 INTEGRATION WITH IBM Think it. Build it. Tap into it. Enabling business Business transformation Smarter Smarter Process Commerce Workforce as a Service Big Data & Watson Analytics Solutions GBS Cloud Marketplace of high- Business Software Solutions value consumable as a Service business applications Smarter Software Cities Solutions Composable and Bluemix TM Platform integrated application as a Service development platform Cloud Managed Services Infrastructure Services Enterprise class, Infrastructure optimized as a Service infrastructure On Premises Cloud Infrastructure SOFTLAYER CAPABILITIES OVERVIEW
16 HYBRID CLOUD Hybrid represents a key element of our differentiated value Key Considerations: • Expertise – Best practices • Open Integration – Hybrid environments • Control – Visibility, automation Traditional Dedicated Dedicated Shared IT On-Premises Off-Premises Off-Premises Cloud Cloud Cloud Choose the right mix for your business SOFTLAYER CAPABILITIES OVERVIEW
17 VDI HPC NVIDIA TESLA SOLUTIONS NVIDIA GRID SOLUTIONS www.nvidia.com/tesla www.nvidia.com/vdi
18 Tesla k80 world’s Fastest accelerator for data Dual-GPU Accelerator analytics and scientific computing for Max Throughput Double the 2x Faster Maximum 2.9 TF| 4992 Cores | Memory Performance 480 GB/s Dynamically Maximize 25x Designed for Big Perf for Every 20x Data Apps 15x Application 10x 5x 24GB 0x Deep Learning: Caffe CPU Tesla K40 Tesla K80 Caffe Benchmark: AlexNet training throughput based on 20 iterations, CPU: E5-2697v2 @ 2.70GHz. 64GB System Memory, CentOS 6.2, Peak Perf with GPU Boost on
19 GPUs for Training & Prediction Cloud Datacenter or Colocation Training Prediction
20 CUDA for Machine Learning Early Adopters Use Cases Talks @ GTC Image Detection Face Recognition Image Analytics Speech/Image Gesture Recognition for Creative Recognition Cloud Video Search & Analytics Image Hadoop Speech Recognition & Translation Classification Recommendation Engines Indexing & Search Search Rankings Recommendation
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