Driving Advanced Graph Analytics with TigerGraph
Download PDFTue, 17 Jan 2023 08:15:09 -0000
|Read Time: 0 minutes
Summary
This joint paper, written by Dell Technologies, in collaboration with Intel®, describes the key hardware considerations when configuring a successful graph database deployment and recommends configurations based on the most recent 15th Generation PowerEdge Server portfolio offerings. TigerGraph helps make graph technology more accessible. TigerGraph 3.x is democratizing the adoption of advanced analytics with the Intel® 3rd Generation Intel® Xeon® Scalable Processors by enabling non-technical users to accomplish as much with graphs as the experts do. TigerGraph is a native parallel graph database purpose-built for analyzing massive amounts (terabytes) of data.
Key Industries and Use Cases
Manufacturing/Supply Chain -- Delays in orders or shipments that can’t reach their final destination translate to poor customer experience, increased customer attrition, financial penalties for delivery delays, and the loss of potential customer revenue.
With the mounting strains on global supply chains, companies are now investing heavily in technologies and processes that enhance adaptability and resiliency in their supply chains.
Real-time analysis of supply and demand changes requires expensive database joins across the table with the data for suppliers, orders, products, locations, and with the inventory for parts and sub-assemblies. Global supply chains have multiple manufacturing partners, requiring integration of the external data from partners with the internal data. TigerGraph, Intel®, and Dell Technologies provide a powerful graph engine to find product relations and shipping alternatives for your business needs.
Financial Services -- Fraudsters are getting more sophisticated over time, creating a network of synthetic identities combined with legitimate information such as social security or national identification number, name, phone number, and physical address. TigerGraph solutions on 3rd Generation Intel® Xeon® Scalable Processors help you isolate and identify issues to keep your business safe.
Recommendation Engines -- Every business faces the challenge of maximizing the revenue opportunity from every customer interaction. Companies that offer a wide range of products or services face the additional challenge of matching the right product or service based on immediate browsing and search activity along with the historical data for the customer. TigerGraph’s Recommendation Engine on 3rd Generation Intel® Xeon® Scalable Processors powers purchases with increased click-through results, leading to higher average order value and increased per-visit spending by your shoppers.
Dell PERC H755N NVMe RAID controller with Self-Encrypting Drives (SED) provides additional security for stored data. Whether drives are lost, stolen, or failed, unauthorized access is prevented by rendering the drive unreadable without the encryption key. It also offers additional benefits including regulatory compliance and secure decommissioning. The PERC H755N controller supports Local Key Management (LKM) and external key management systems with Secure Enterprise Key Manager (SEKM).
Available Configurations
Cost-Optimized Configuration | |
Platform | PowerEdge R650 supporting up to 8 NVMe drives in RAID config |
CPU* | 2x Intel® Xeon® Gold 5320 processor (26 cores, 2.2GHz base/2.8GHz all core turbo frequency) |
DRAM | 256 GB (16x 16 GB DDR4-3200) |
Boot device | Dell BOSS-S2 with 2x 240GB or 2x 480GB M.2 SATA SSD (RAID1) |
Storage adapter | Dell PERC H755N Front NVMe RAID Controller |
Storage | 2x (up to 8x) 1.6TB Enterprise NVMe Mixed Use AG SED Drive, U2 Gen4 |
NIC | Intel® E810-XXVDA2 for OCP3 (dual-port 25Gb) |
* The Intel® Xeon® Gold 5320 processor supports only DDR4-2933 memory speed.
Balanced Configuration | |
Platform | PowerEdge R650 supporting up to 8 NVMe drives in RAID config |
CPU | 2x Intel® Xeon® Gold 6348 processor (28 cores, 2.6GHz base/3.4GHz all core turbo frequency) |
DRAM | 512 GB (16x 32 GB DDR4-3200) |
Boot device | Dell BOSS-S2 with 2x 240GB or 2x 480GB M.2 SATA SSD (RAID1) |
Storage adapter | Dell PERC H755N Front NVMe RAID Controller |
Storage | 2x (up to 8x) 1.6TB Enterprise NVMe Mixed Use AG SED Drive, U2 Gen4 |
NIC | Intel® E810-XXVDA2 for OCP3 (dual-port 25Gb) |
High-Performance Configuration | |
Platform | PowerEdge R650 supporting up to 8 NVMe drives in RAID config |
CPU | 2x Intel® Xeon® Platinum 8360Y processor (36 cores, 2.4GHz base/3.1GHz all core turbo frequency) with Intel® Speed Select technology |
DRAM | 1 TB (32x 32 GB DDR4-3200) |
Boot device | Dell BOSS-S2 with 2x 240GB or 2x 480GB M.2 SATA SSD (RAID1) |
Storage adapter | Dell PERC H755N Front NVMe RAID Controller |
Storage | 2x (up to 8x) 1.6TB Enterprise NVMe Mixed Use AG SED Drive, U2 Gen4 |
NIC | Intel® E810-XXVDA2 for OCP3 (dual-port 25Gb), or Intel® E810-CQDA2 PCIe (dual-port 100Gb) |
Resources
For more information:
- Visit the Dell support page or contact Dell for a customized quote 1-877-289-3355. You can also visit Dell and Intel Innovating for Today and Tomorrow.
- Read:
- Introducing TigerGraph DB the First Native Parallel Graph
- Connect, Analyze and Learn from Data with TigerGraph
- New Benchmark Shows TigerGraph’s Capacity To Handle Big Datasets
Related Documents
Scaling and Optimizing ML in Enterprises
Tue, 16 May 2023 19:53:46 -0000
|Read Time: 0 minutes
Summary
This joint paper, written by Dell Technologies, in collaboration with Intel®, describes the key hardware considerations when configuring a successful MLOps deployment and recommends configurations based on the most recent 15th Generation Dell PowerEdge Server portfolio offerings.
Today’s enterprises are looking to operationalize machine learning to accelerate and scale data science across the organization. This is especially the case as their needs grow to deploy, monitor, and maintain data pipelines and models. Cloud native infrastructure, such as Kubernetes, offers a fast and scalable means to implement Machine Learning Operations (MLOps) by using Kubeflow, an open source platform for developing and deploying Machine Learning (ML) pipelines on Kubernetes.
Dell PowerEdge R650 servers with 3rd Generation Intel® Xeon® Scalable processors deliver a scalable, portable, and cost-effective solution to implement and operationalize machine learning within the Enterprise organization.
Key Considerations
- Portability. A single end-to-end platform to meet the machine learning needs of various use cases, including predictive analytics, inference, and transfer learning.
- Optimized performance. High-performance 3rd Generation Intel® Xeon® Scalable processors optimize performance for machine learning algorithms using AVX-512. Intel® performance optimizations that are built into Dell PowerEdge servers can help fine-tune large Transformers models across multi-node systems. These work in conjunction with open-source cloud native MLOps tools. Optimizations include Intel® and open-source software and hardware technologies such as Kubernetes stack, AVX-512, Horovod for distributed training, and Tensorflow 2.10.0.
- Scalability. As the machine learning workload grows, additional compute capacity needs to be added to the cloud native infrastructure. Dell PowerEdge R750 servers with 3rd Generation Intel® Xeon® Scalable processors deliver an efficient and scalable approach to MLOps.
Recommended Configurations
Cluster | ||
| Control Plane Nodes (Three Nodes Required) | Data Plane Nodes (4 Nodes or More) |
Functions | Kubernetes services | Develop, Deploy, Run Machine Learning (ML) workflows |
Platform | Dell PowerEdge R650 up to 10x 2.5” NVMe Direct Drives | |
CPU | 2x Intel® Xeon® Gold 6326 processor (16 cores @ 2.9GHz), or better | 2x Intel® Xeon® Platinum 8380 processor (40 cores at 2.3 GHz), or 2x Intel® Xeon® Platinum 8368 processor (38 cores @ 2.4GHz), or Intel® Xeon® Platinum 8360Y processor (36 cores @ 2.4GHz) |
DRAM | 128 GB (16x 8 GB DDR4-3200) | 512 GB (16x 32 GB DDR5-4800) |
Boot device | Dell Boot Optimized Server Storage (BOSS)-S2 with 2x 240GB or 2x 480 GB Intel® SSD S4510 M.2 SATA (RAID1) | |
Storage adapter | Not required for all-NVMe configuration. | |
Storage (NVMe) | 1x 1.6TB Enterprise NVMe Mixed- Use AG Drive U.2 Gen4 | 1x 1.6TB (or larger) Enterprise NVMe Mixed-Use AG Drive U.2 Gen4 |
NIC | Intel® E810-XXVDA2 for OCP3 (dual-port 25GbE) | Intel® E810-XXVDA2 for OCP3 (dual-port 25GbE), or Intel® E810-CQDA2 PCIe (dual-port 100Gb) |
Resources
Visit the Dell support page or contact your Dell or Intel account team for a customized quote 1-877-289-3355.
Powering Your Elasticsearch on Kubernetes
Tue, 17 Jan 2023 08:32:07 -0000
|Read Time: 0 minutes
Summary
This joint paper, written by Dell Technologies, in collaboration with Intel®, describes the key hardware considerations when configuring a successful Elasticsearch deployment and recommends configurations based on the most recent 15th Generation PowerEdge Server portfolio offerings.
Elasticsearch is a distributed, open-source search and analytics engine for all types of data, including textual, numerical, geospatial, structured, and unstructured. This proposal contains recommended configurations for Elasticsearch clusters on the Kubernetes platform (Red Hat OpenShift Container Platform with Elastic Cloud on Kubernetes (ECK) operator) running on 15th Generation Dell PowerEdge with 3rd Generation Intel® Xeon® Scalable processors (Ice Lake).
Key Considerations
- Faster and scalable performance. Elasticsearch running on the latest Dell PowerEdge servers is built on high- performing Intel® architecture and configured with 3rd Generation Intel® Xeon® Scalable processors. Indexing is faster and capacity can scale with your needs.
- Index more data. Elasticsearch can handle and store more data by increasing DRAM capacity and using PCIe Gen 4 NVMe disk drives attached to Dell PowerEdge servers.
- Reduced search times and increased # of concurrent searches. As data grows and needs to be accessed across the cluster, data-access response times are critical, especially for real-time analytics applications. Elasticsearch, running on the latest Dell PowerEdge servers, is built on high-performing Intel® architecture. Intel® Ethernet network controllers, adapters, and accessories enable agility in the data center and support high throughput and low latency response times.
- Easy and secure installation. The Elastic Cloud on Kubernetes (ECK) operator is an official Elasticsearch operator certified on Red Hat OpenShift Container Platform, providing easy deployment, management, and operation of Elasticsearch, Kibana, APM Server, Beats, and Enterprise Search on OpenShift clusters. Elasticsearch clusters deployed using this operator are secure by default (with enabled encryption and strong passwords).
- Multi Data Tiers. As data grows, costs do not have to. With multiple tiers of data, capacity can extend, and storage costs can be driven lower without performance loss. Each capacity layer can be scaled independently by using larger drives or mode nodes (or both), depending on customer needs.
Available Configurations
Elasticsearch cluster on Kubernetes (Red Hat OpenShift Kubernetes) platform | ||||
| OpenShift Control Plane Master Nodes (three nodes required) | Elasticsearch Master / Ingest / Hot tier data nodes (minimum of three nodes required) |
Elasticsearch Warm tier data nodes (optional) |
Elasticsearch Cold tier data nodes (optional) |
Functions |
OpenShift services, Kubernetes services | Elasticsearch roles: master, ingest, hot tier data Additional services, such as Kibana |
Elasticsearch roles: warm tier data |
Elasticsearch roles: cold tier data |
Platform |
Dell PowerEdge R650 chassis with up to 10x2.5” NVMe Direct Drives | Dell PowerEdge R750 chassis with up to 12x3.5” HDD with RAID | ||
CPU | 2 x Intel® Xeon® Gold 6326 processor (16 cores @ 2.9GHz) or better |
2 x Intel® Xeon® Gold 6338 processor (32 cores @ 2.0GHz) |
2 x Intel® Xeon® Gold 5318Y processor (24 cores @ 2.1GHz) |
2 x Intel® Xeon® Gold 5318N processor (24 cores @ 2.1GHz) |
DRAM | 128GB (16x 8GB DDR4- 3200) |
256 GB (16 x 16 GB DDR4-3200) | 128 GB (16 x 8 GB DDR4-3200) | |
Boot Device | Dell BOSS-S2 with 2x 240GB or 2x 480GB M.2 SATA SSD (RAID1) | |||
Storage adapter |
Not needed for all-NVMe configurations | Dell PERC H755 SAS/SATA RAID adapter | ||
Storage (NVMe) |
1x 1.6TB Enterprise NVMe Mixed-Use AG Drive U.2 Gen4 |
2x (up to 10x) 3.2TB Enterprise NVMe Mixed-Use AG Drive U.2 Gen4 |
10x 7.68TB Enterprise NVMe Read-Intensive AG Drive U.2 Gen4 |
up to 12x 16TB / 18TB / 20TB 12Gbps SAS ISE 3.5” HDD, 7200RPM |
NIC | Intel E810-XXVDA2 for OCP3 (dual-port 25GbE) |
Note: This document may contain language from third-party content that is not under Dell Technologies’ control and is not consistent with current guidelines for Dell Technologies’ own content. When such third-party content is updated by the relevant third parties, this document will be revised accordingly.
Resources
For more information:
- Contact your Dell or Intel® account team for a customized quote, at 1-877-ASK-DELL (1-877-275-3355).
- See the following documents:
Elastic Cloud on Kubernetes is now a Red Hat OpenShift Certified Operator