Better ML for Everyone with ML Commons

Event: AI Field Day 3

Appearance: David Kanter Presents ML Commons at AI Field Day 3

Company: ML Commons

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Personnel: David Kanter

ML Commons aims to build better machine learning for everyone through three pillars. We create benchmarks like the MLPerf suite that measure speed for ML training and inference from microwatts to megawatts. We build large, open, and public datasets such as The People’s Speech (30K hours of labeled speech), Multilingual Spoken Words Corpus (keyword spotting for 23M utterances in 50 languages) to empower the community to innovate. Last, we build best practices that reduce friction like MLCube, which provides a common container interface for ML models making them easier to share and use.


Accelerating Customer Applications With Intel Habana Gaudi

Event: AI Field Day 3

Appearance: Intel Presents at AIFD3

Company: Intel

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Personnel: Sree Ganesan

Sree Ganesan, Head of Software Products for Habana Labs, discusses the applications and use cases for Habana Gaudi accelerators. Most customers use Gaudi for object detection and segmentation, image classification, and natural language processing. Specific examples include Leidos in health care, who are accelerating medical imaging to detect Covid in x-ray images using AWS DL1, as well as accelerating medical benefit applications using NLP-based deep learning. Riskfuel is accelerating FinTech workloads with ResNet inspired topologies. MobileEye is accelerating 2D and 3D object detection training with Gaudi and achieving better time to market as well as cost savings.

Turning to on-premises solutions, SDSC is using Supermicro X12 Gaudi AI training servers to accelerating science and engineering workloads. For more information, visit https://Habana.io or http://www.intel.lv/HabanaGaudi


Affordable Deep Learning Training with Intel Habana Gaudi

Event: AI Field Day 3

Appearance: Intel Presents at AIFD3

Company: Intel

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Personnel: Sree Ganesan

Sree Ganesan, Head of Software Products for Habana Labs, introduces Habana Gaudi, an Intel company building purpose-built AI accelerators. Habana’s Gaudi is an affordable deep learning training accelerator available in the cloud with AWS EC2 DL1 and on-premises in a solution with Supermicro X12 Gaudi Server and DDN AI 400X2 storage. Since cost is the most significant challenge to implementing AI and ML solutions, Habana Labs focused on an optimized AI training solution when developing Gaudi, focused on homogeneous compute, software-managed HBM2 memory, and integrated 100Gb Ethernet RoCE.

Saudi-based Amazon AWS EC2 DL1 training instances offer 60% lower cost than EC2 P4d instances with ECS and EKS container support. Saudi’s SynapseAI software suite optimizes performance and usability of the Gaudi for PyTorch and TensorFlow users. Habana is also working with partners like Hugging Face, PyTorch Lightning, and cnvrg.io to maximize developer efficiency.

Habana’s Gaudi 2 was recently announced at Intel Vision and will be available in Q3 of 2022. Habana promises that Gaudi 2 offers 2x better throughput vs. NVIDIA’s A100 for popular vision and language models.


Turning Science Fiction Into Science Fact: WEKA Customer Cases

Event: AI Field Day 3

Appearance: WEKA Presents at AIFD3

Company: WEKA

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Personnel: Efraim Grynberg

WEKA helps organizations to overcome the performance, scale and data management challenges of next generation workloads and move their mission-critical business initiatives and research projects forward.

In this session, Efraim Grynberg will share stories from real WEKA customers that are using the WEKA Data Platform to achieve first to market results with their AI and ML.


Architecting the WEKA Solution: Why a Unified Data Plane Is Critical to Optimize AI Workloads

Event: AI Field Day 3

Appearance: WEKA Presents at AIFD3

Company: WEKA

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Personnel: Shimon Ben-David

For next generation workloads like AI and ML to power the next evolutionary leap in business transformation or research innovation, they need to be able to do more.

AI can support enterprise scale requirements – if the data is there. But without a highly scalable modern data platform to rapidly process huge volumes of data and meet AI’s punishing performance demands, it cannot deliver on its full promise and potential.

In this session, Shimon Ben-David will discuss why WEKA decided to build a modern data plane architecture, and how it provides the critical underpinnings for organizations looking to achieve first to market results with their AI and ML deployments.


The WEKA Data Platform for AI Solution

Event: AI Field Day 3

Appearance: WEKA Presents at AIFD3

Company: WEKA

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Personnel: Colin Gallagher

Running AI and ML projects at enterprise scale requires huge amounts of data – many organizations struggle to fuel these digital transformation engines with enough data to realize the full promise of AI and move their initiatives forward. A key reason is their legacy data infrastructure, which is simply not equipped to support the performance and scalability demands of modern workloads like AI/ML and cloud, is holding them back. Enter WEKA.

In this session, Colin will discuss how WEKA’s Data Platform for AI is helping to solve for decades of data infrastructure compromise with a software-based data platform that is purpose-built to streamline and accelerate the data pipelines that fuel AI/ML engines and other next-generation workloads.


WEKA: The Challenge of Working with AI and Next-Gen Workloads

Event: AI Field Day 3

Appearance: WEKA Presents at AIFD3

Company: WEKA

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Personnel: David Gilinsky

A convergence of forces is driving rapid maturation in the AI market: As the global pandemic accelerated the digital initiatives of nearly every enterprise on the planet, AI has now become a strategic imperative for modern businesses and research organizations. A new wave of accelerated compute products are being rapidly adopted by enterprises – delivering 10-100x the performance of traditional CPUs, massive increases in DNN models and creating a Cambrian explosion in AI. But running AI projects at scale requires huge amounts of data, and many organizations are struggling to fuel these digital transformation engines with enough data to realize the full promise of AI/ML and move their business initiatives and research projects forward. Enter WEKA.

In this session, Dave will discuss the challenges WEKA customers face as they look to implement their AI and ML indicatives, providing context for why WEKA developed its Data Platform for AI solution.


NVIDIA DGX Foundry: The Development Hub for the World’s Most Demanding AI Enterprises

Event: AI Field Day 3

Appearance: NetApp Presents at AI Field Day 3

Company: NVIDIA, NetApp

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Personnel: Adam Tetelman

A Product Architect at NVIDIA discusses the need, positioning and benefits of NVIDIA DGX Foundry with NetApp, a premium, subscription-based AI development infrastructure. Shorten your cycle time from AI concept to production. AI workflow management. Learn more: https://ntap.com/AIFD3


Accelerate and Integrate Your Data Pipeline for AI/ML with NetApp and NVIDIA

Event: AI Field Day 3

Appearance: NetApp Presents at AI Field Day 3

Company: NetApp

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Personnel: Dave Arnette

A senior industry expert discusses his experiences with customer with POD and converged infrastructure with NVIDIA, the challenges, trends, solutions and uses cases such as NLP, HPC and computer vision. Hear how to build an integrated data pipeline. Learn more: http://ntap.com/AIFD-2


Simplifying Data Management for Data Scientists with NetApp

Event: AI Field Day 3

Appearance: NetApp Presents at AI Field Day 3

Company: NetApp

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Personnel: Dave Arnette, Max Amende, Mike Oglesby

Industry experts discusses their experiences with customers specifically around simplifying data science and MLOps data management, the challenges, trends, workflows and DataOps offerings. Learn more: http://ntap.com/AIFD-1


DDN’s Integration with NVIDIA’s AI Enterprise Suite

Event: AI Field Day 3

Appearance: DDN Presents at AIFD3

Company: DDN

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Personnel: James Coomer

DDN is collaborating with partners like NVIDIA to ensure AI needs are met across the entire organization. NVIDIA’s AI Enterprise covers customers leveraging virtualized and containerized AI applications and DDN is right there to supply world class storage for these workloads. Getting AI into production no longer needs to be a complex adventure with scalable solutions for the entire AI lifecycle from DDN. To learn more, visit: https://www.ddn.com/solutions/artificial-intelligence-storage


Accelerating AI and HPC with Wafer-Scale Compute from Cerebras Systems

Event: AI Field Day 3

Appearance: DDN Presents at AIFD3

Company: Cerebras

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Personnel: Rebecca Lewington

The AI race is producing larger and more intricate deep learning models at an astounding pace, and traditional scale-out approaches are struggling to keep up. Fortunately, Cerebras is anything but traditional. In this talk, Technology Evangelist Rebecca Lewington will explore the architecture and real-world performance of the ultimate scale-up accelerator for AI workloads, the Cerebras Wafer-Scale Engine. For more info, visit: https://www.cerebras.com


DDN Insight and Workload Analyzer Demo

Event: AI Field Day 3

Appearance: DDN Presents at AIFD3

Company: DDN

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Personnel: James Coomer

Cut through the complexity to find actionable insights, guided by powerful graphical visualizations. DDN’s Insight supplies complete end to end visibility of AI workloads. Run your service more efficiently, more of the time, with the first complete view of both your applications and infrastructure with DDN Insight’s Workload analyzer. Presented by James Coomer, Sr. VP of Products, DDN. Visit https://www.ddn.com/products/storage-monitoring-ddn-insight/ for more information.


The Challenge of AI and DDN’s A3I Architecture

Event: AI Field Day 3

Appearance: DDN Presents at AIFD3

Company: DDN

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Personnel: James Coomer

To achieve operational AI at scale, enterprises Existing IT and data storage systems are inadequate to handle the very high speed and massive scale requirements of AI and analytics. A new high-performance data-centric IT approach is a necessity to succeed and thrive in today’s AI-driven world. James Coomer will show why DDN’s A3I is the industry leading storage solution for data intensive workloads. To find out more about DDN’s AI storage solutions, visit: https://www.ddn.com/solutions/artificial-intelligence-storage


DDN, The AI Data Company

Event: AI Field Day 3

Appearance: DDN Presents at AIFD3

Company: DDN

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Personnel: Kurt Kuckein

Since 1998 DDN has supplied the world’s most efficient storage for the most demanding and intensive data environments. Today, AI, advanced data analytics, and cloud computing is bringing the requirements found in those environments to the Enterprise data center. DDN brings its wealth of experience and innovative technology to the Enterprise to simplify data management. Presented by Kurt Kuckein, VP of Marketing, DDN.


Progress WhatsUp Gold Demo with Mark Singh

Event: Networking Field Day 28

Appearance: Progress Presents at Networking Field Day 28

Company: Progress

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Personnel: Mark Singh

Progress solutions engineer Mark Singh dives deep into the key functionalities of WhatsUp Gold with a very interactive demo. See the nuances of the software from integrated log management to the newest integration with Progress’ recent acquisition Flowmon.


Progress WhatsUp Gold Network Monitoring with Mark Towler

Event: Networking Field Day 28

Appearance: Progress Presents at Networking Field Day 28

Company: Progress

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Personnel: Mark Towler

See WhatsUp and What’s Down with WhatsUp Gold. Progress’ Mark Towler skims the surface with the WhatsUp Gold features and functionality.


Augtera Roadmap and Feedback

Event: Networking Field Day 28

Appearance: Augtera Presents at Networking Field Day 28

Company: Augtera

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Personnel: Jim Meehan

Jim Meehan, Head of Product, leads a discussion on capabilities being considered for the Augtera platform roadmap, including auto-remediation, deeper cloud metadata integration, pinpointing intermediate path latency issues, overlaying anomalies on GEO or path views in addition to topology, and SASE insights. The session concluded with feedback from delegates which included existing tool augmentation/substitution.


Augtera Multi-Cloud Performance Insights

Event: Networking Field Day 28

Appearance: Augtera Presents at Networking Field Day 28

Company: Augtera

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Personnel: John Heintz

In December 2021 Augtera detected a major AWS outage long before Amazon publicly commented on it, though the Augtera Live Multi cloud Anomaly capability, which is provided on the Augtera website to everyone. In addition, while the Augtera team was presenting at NFD, a real-time GCP anomaly was being detected. The underlying tech for this capability is Augtera software probes deployed across the Internet, or a customer’s network. VPC flow logs can also be used to detect anomalies.


Augtera Actionable Insights for Data Center and SD-WAN

Event: Networking Field Day 28

Appearance: Augtera Presents at Networking Field Day 28

Company: Augtera

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Personnel: John Heintz

Augtera detects TCP SACK options through sFlow which is an indication that an issue is emerging. Further inspection shows fabric interfaces are dropping packets, because of how traffic is being load balanced. Similarly, an underlay could be impacting a SD-WAN overlay. Instead of focusing on which servers are impacted, in this use case, the focus is the applications impacted.


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