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 […]
Architecting the WEKA Solution: Why a Unified Data Plane Is Critical to Optimize AI Workloads
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 […]
The WEKA Data Platform for AI Solution
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 […]
WEKA: The Challenge of Working with AI and Next-Gen Workloads
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 […]
NVIDIA DGX Foundry: The Development Hub for the World’s Most Demanding AI Enterprises
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
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
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
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 […]
Accelerating AI and HPC with Wafer-Scale Compute from Cerebras Systems
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. […]
DDN Insight and Workload Analyzer Demo
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 […]
The Challenge of AI and DDN’s A3I Architecture
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 […]
DDN, The AI Data Company
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. […]
Progress WhatsUp Gold Demo with 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
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
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
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 […]
Augtera Actionable Insights for Data Center and SD-WAN
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 […]