MinIO’s Hybrid Cloud and Multi Cloud Ambitions

Event: Cloud Field Day 11

Appearance: MinIO Presents at Cloud Field Day 11

Company: MinIO

Video Links:

Personnel: AB Periasamy, Daniel Valdivia, Jonathan Symonds

In this section, AB Periasamy and Jonathan Symonds will articulate why the biggest prize in the cloud is unclaimed and why MinIO is poised to take it. This section will outline the keys to success for the hybrid/multi-cloud and MinIO simple but powerful strategy for delivering against those. Daniel Valdivia will provide a demonstration of MinIO running on all three major public clouds – AWS, Azure and Google.


Understanding MinIO

Event: Cloud Field Day 11

Appearance: MinIO Presents at Cloud Field Day 11

Company: MinIO

Video Links:

Personnel: Jonathan Symonds

The growth of MinIO is a function of the fact that we do one thing – high-performance, Kubernetes native, object storage. That is all we do. We aim to do it better than anyone else. In this section Jonathan Symonds will discuss our guiding principles, our customers and growth, our ambition and our commercial model.


Cloudy with a Chance of FinOps: Hybrid Cloud Cost Management with Morpheus Data

Event: Cloud Field Day 11

Appearance: Morpheus Data Presents at Cloud Field Day 11

Company: Morpheus Data

Video Links:

Personnel: David Estes

Many first generation CMPs started and stopped with cost management. The Morpheus design center was always application-centric with a focus on automation and orchestration. However, in the last 18 months we’ve seen companies demand a full-stack hybrid cloud management model that includes robust features for discovery, optimization, chargeback, and public-cloud invoice aggregation. We’ll review the latest features including the new custom report plug-in.


A Unified Approach to Clouds, Containers, and PaaS Services with Morpheus Data

Event: Cloud Field Day 11

Appearance: Morpheus Data Presents at Cloud Field Day 11

Company: Morpheus Data

Video Links:

Personnel: Adam Hicks, Martez Reed

The Venn diagram of cloud management, container management, and infrastructure automation is a pattern we’re seeing at enterprises around the world. This deep dive will review Morpheus features that simplify how organizations build, manage, and consume Kubernetes while at the same time bridging the gaps between Terraform, Ansible, and other automation tools. We’ll discuss the value of an agnostic multi-platform control plane compared to pure-play stacks from VMware, Red Hat, and the public providers.


Technical Introduction to Morpheus Data Hybrid Cloud Management

Event: Cloud Field Day 11

Appearance: Morpheus Data Presents at Cloud Field Day 11

Company: Morpheus Data

Video Links:

Personnel: David Estes, Martez Reed

This technical demonstration of the Morpheus hybrid cloud management platform will illustrate how to unify the cloud experience across VMware, Nutanix, AWS, Azure, GCP, and more. From basic VMaaS to full application stacks and day-2 automation we’ll show how the platform meets the needs of IT Operations, Security, Developers, and Finance teams. The session will cover newer features like the persona-based GUI plus will dig into the intersection of Morpheus with Terraform, Ansible, ServiceNow, and other adjacent technologies.


Hybrid Cloud Management and Application Orchestration with Morpheus Data

Event: Cloud Field Day 11

Appearance: Morpheus Data Presents at Cloud Field Day 11

Company: Morpheus Data

Video Links:

Personnel: Brad Parks, David Estes

An introduction to Morpheus Data’s hybrid cloud management platform. We’ll cover the major Morpheus use cases for private cloud, hybrid cloud, infrastructure automation, and application orchestration. Review customer examples and learn why Morpheus is the easiest way to bring the cloud experience on-premises while extending control into public clouds. Lastly, we’ll spotlight where this industry and platform is going over the next 12 to 18 months.


Simplifying Big Data AI with Intel Analytics Zoo

Event: AI Field Day 2

Appearance: Intel Presents at AI Field Day 2

Company: Intel

Video Links:

Personnel: Jason Dai

Applying machine learning to distributed big data analytics plays a central role in today’s intelligent applications and systems. These problem settings have pushed the field to address issues of data scale that were almost inconceivable to AI researchers even a decade ago. To address these challenges, Intel has open sourced Analytics Zoo (https://github.com/intel-analytics/analytics-zoo), which allows users to build and productionize end-to-end Big Data AI pipelines on large-scale Xeon clusters. In this talk, we will show how Analytics Zoo help real-world users (e.g., Burger King, Ant Group, etc.) build end-to-end Big Data AI solutions on Intel Xeon servers. Presented by Jason Dai, Intel Fellow and Chief Architect of Big Data AI, Intel.


Intel Graph Analytics & AI: An Efficient Way to Analyze Massive Datasets

Event: AI Field Day 2

Appearance: Intel Presents at AI Field Day 2

Company: Intel, Katana Graph

Video Links:

Personnel: Arijit Bandyopadhyay, Ramesh Peri, Roshan Dathathri

Graphs are playing a key role in big data analytics, providing insights in many domains through traditional graph algorithms and graph neural networks. As the size of these data sets increase, the computing power needed also increases and the software techniques to manage it becomes ever more critical. For example, there are Intel-based single node systems which can have up to 16TB of main memory with Optane DC PMM, large clusters of machines are available with thousands of cores, and specialized hardware for processing large scale graphs are being developed. Intel and Katana Graph are collaborating to produce an efficient and scalable graph analytics library that works across this wide variety of platforms.

Presented by Arijit Bandyopadhyay, CTO – Enterprise Analytics & AI and Head of Strategy – Cloud and Enterprise, Data Platforms Group, Intel Corporation, Ramesh Peri, Senior Principal Engineer at Intel Corporation, Intel’s Architecture, Graphics and Software Group, Intel Corporation, and Roshan Dathathri, Software Engineer, Katana Graph.


MemVerge Use Cases with Hazelcast

Event: AI Field Day 2

Appearance: MemVerge Presents at AI Field Day 2

Company: Hazelcast, MemVerge

Video Links:

Personnel: Dale Kim

Dale Kim, Sr. Director, Technical Solutions, Hazelcast, presents the combined solution from his company and MemVerge.


MemVerge Big Memory Workbench: Multi-Stage Analytics

Event: AI Field Day 2

Appearance: MemVerge Presents at AI Field Day 2

Company: MemVerge

Video Links:

Personnel: Yong Tian

Yong Tian, Director, Product Management, presents MemVerge Big Memory Workbench. This enables users to interact with big memory using a GUI, CLI, or REST API to eliminate expensive file I/O and enable big memory analytics.


MemVerge In-Memory Snapshot Deep Dive

Event: AI Field Day 2

Appearance: MemVerge Presents at AI Field Day 2

Company: MemVerge

Video Links:

Personnel: Yue Li

Yue Li, CTO, presents the MemVerge Memory Machine snapshot capability, putting it in context of challenges facing AI applications in the enterprise. He first presents the tiered memory allocation model and the use case for in-memory image recognition and virtualized servers. Then he discusses the potential for in-memory snapshots to support these applications, including the potential performance gains versus rebuilding data sets.


Big Memory Computing with the MemVerge Memory Machine

Event: AI Field Day 2

Appearance: MemVerge Presents at AI Field Day 2

Company: MemVerge

Video Links:

Personnel: Frank Berry

Frank Berry, Vice President of Marketing for MemVerge, presents the changing computing landscape. With today’s AI and big data analytics challenges, companies are at an inflection point and looking to add more memory capacity and features. This “big memory” challenge is what the MemVerge Memory Machine is intended to address.


The Future is Bright with BrainChip

Event: AI Field Day 2

Appearance: BrainChip Presents at AI Field Day 2

Company: BrainChip

Video Links:

Personnel: Anil Mankar

These are exciting times at BrainChip. Anil Mankar, Co Founder and Chief Development Officer, will highlight Brainchip’s proposed business models as well as highlight key areas of applications. Summarizing BrainChip activity with some key demonstrations of Akida in action and closing the session by addressing questions.


The BrainChip Advantage

Event: AI Field Day 2

Appearance: BrainChip Presents at AI Field Day 2

Company: BrainChip

Video Links:

Personnel: Anil Mankar

BrainChip is uniquely positioned with it’s Neuromorphic Processor to address low power functionality while processing at the Edge without dependency of communicating with the cloud. This capability enables BrainChip to address key beneficial AI applications such as detecting Volatile Organic Compounds (VOCs) through exhaled breath and accurately determining various diseases and viruses. Presented by Anil Mankar, Co Founder and Chief Development Officer, BrainChip.


Making Edge AI Possible with BrainChip

Event: AI Field Day 2

Appearance: BrainChip Presents at AI Field Day 2

Company: BrainChip

Video Links:

Personnel: Anil Mankar

Anil Mankar, Co Founder and Chief Development Officer, BrainChip, will discuss how to make AI at the Edge possible by leveraging BrainChip’s Akida Neuromorphic Processor and it’s capabilities. In this session Anil will highlight Facial Detection and Object Detection at the Edge.


Unlocking Dynamic AI On-Prem with Liqid

Event: AI Field Day 2

Appearance: Liqid Presents at AI Field Day 2

Company: Liqid

Video Links:

Personnel: George Wagner, Josiah Clark, Sumit Puri

Liqid CDI is built from the ground up to manage AI+ML workloads for maximum operational performance and footprint efficiency for accelerated time-to-value in AI+ML environments. Exponentially increase value of existing resources and deploy disaggregated resources for GPU-intensive AI+ML workloads. Learn how Liqid CDI can scale for multitenancy workloads and dominate the data center. Build a fully composable AI platform that can dynamically allocate resources for each stage of the AI workflow, from data ingest to cleaning and tagging, training to inference. Get under the hood of the Liqid Matrix CDI software platform and learn how it enables direct communication between GPUs, bypassing CPU for increased performance. Create ‘machine containers’ with Slurm, Kubernetes, and Vmware integration. Liqid Matrix CDI software and fabrics reduce costs, improve IT agility, and increase infrastructure flexibility to address evolving AI workloads driving innovation across industry verticals. Presented by Sumit Puri, CEO & Cofounder, Liqid.


Cloud Flexibility and Agility for AI HPC with Liqid

Event: AI Field Day 2

Appearance: Liqid Presents at AI Field Day 2

Company:

Video Links:

Personnel:


How Liqid Addresses Infrastructure Challenges Facing On-Prem AI

Event: AI Field Day 2

Appearance: Liqid Presents at AI Field Day 2

Company: Liqid, NVIDIA

Video Links:

Personnel: Josiah Clark

Liqid provides composable disaggregated infrastructure (CDI) solutions that optimize AI+ML operations by providing adaptive architecture that can manage resources like NVIDIA GPUs, intelligent networking, NVMe, and other accelerators. Liqid CDI software addresses the limitations of traditional on-prem infrastructure for AI such as limited GPU config options, limited change readiness of existing static architecture, and poor resource utilization. Agile CDI infrastructure can fully optimize the data flywheel to accelerate algorithm maturation. Presented by Josiah Clark, Chief AI Architect, Liqid.


Scality ARTESCA Introduction and Demo

Event: AI Field Day 2

Appearance: Scality Presents at AI Field Day 2

Company: Scality

Video Links:

Personnel: Brad King, Giorgio Regni, Paul Speciale

Scality has introduced ARTESCA, its new lightweight, cloud-native object storage solution into the market. In this session, we will provide an introduction to ARTESCA, and provide a demonstration of its application to the world of analytics, AI and ML – and how it can help developers of these applications to increase the value of their applications with multi-cloud functionality, metadata enrichment and search capabilities. Presented by Giorgio Regni, CTO, Scality, and Paul Speciale, CPO, Scality.


New applications for S3 Object Storage with Scality

Event: AI Field Day 2

Appearance: Scality Presents at AI Field Day 2

Company: Scality

Video Links:

Personnel: Paul Speciale

Object storage is already well-known for helping to solve growth challenges for large-scale data in the enterprise and within cloud service providers. Over the last decade, traditional deployments of object storage have exploited its advantages in scalability, low-cost and data immutability. This has helped to solve the need to store 100s of Terabytes to Petabytes of data in a reliable and cost-effective way for long-term storage such as for archival requirements. Now, a new breed of big data analytics applications has now emerged that is embracing object storage for much more performance-intensive active data workloads. This dramatically expands the use-cases for object storage into domains where traditional Tier1 storage systems were employed. This session will explore popular applications in the world of analytics, AI and Machine Learning and how they have embraced the popular Amazon S3 API and object storage to help solve these new and emerging problems. Presented by Paul Speciale, Chief Product Officer, Scality.


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