Name: Accelerating Large Language Models with WEKA and Stability AI - ISC '24
Start: 2024-05-21T11:49:00Z
End: 2024-05-21T11:49:45.000Z
Location: BrightTALK
Rating: 0

We believe data-driven organisations shouldn’t have to choose between speed, simplicity, scale, sustainability, or seamless data portability. In the cloud and AI era, these should be foundational elements to every data environment – not points of compromise. That’s why we’re building an entirely new data management approach designed to support next-generation workloads flawlessly. 

Today, organisations face significant challenges as they scale demanding AI operations, often grappling with siloed initiatives, disparate infrastructure, and inefficient legacy storage systems that inflate costs and reduce efficiency.

Join experts from WEKA and NVIDIA as they discuss the latest AI trends and share strategies to streamline your infrastructure for generative AI success.

Learn how to minimise your footprint, reduce power usage, and cut costs, all while boosting AI performance to meet the increasing demands of enterprise environments.

Join this webinar for insights on:

- Current trends in AI and a look towards the future.
- The key challenges companies are facing in AI accessibility, affordability, and sustainability amidst the limitations of legacy storage architecture.
- How WEKA and NVIDIA’s partnership is positioned to continue transforming industries by providing exceptional performance, scalability, and sustainability while optimising the workloads that drive AI.

WEKA x Nvidia: A Quantum Leap in Enterprise AI Performance

In this webinar, Mike Bloom will take us through storage workload patterns in AI /ML as observed in a production setting, different types of AI models measured on a per workload basis and individual parts of the lifecycle of AI/ML., Through these three points of view, key bottlenecks and design criteria are discussed to provide success criteria for a robust storage system for modern AI/ML applications.

Level Up Your Generative AI Model Development

Discover how NexGen Cloud is leveraging WEKA to optimize GPUs and deliver fast, sustainable, and accessible AI to their customers.

In this webinar, Cory Hawkvelt of NexGen and Mike Bloom of WEKA will discuss the rise of the GPU Cloud, democratizing the next wave of innovation, and share insights on:

- How NexGen is tackling the complexities of managing and scaling GPU Cloud services.

- How WEKA eliminates the trade-off between performance and cost in the GPU Cloud market.

- Strategies to address the environmental impact of AI with sustainable infrastructure.

WEKA x NexGen Cloud: The Future of GPU Cloud

Get all the benefits of the WEKA Data Platform in a validated, turnkey data platform appliance certified for NVIDIA DGX Superpod on NVIDIA DGX H100 Systems. Starting with a minimum configuration of 8 nodes, WEKApod scales to hundreds of nodes and seamlessly integrates with NVIDIA Base Command™ Manager for centralized observability, including WEKA Data Platform performance metrics, and seamlessly integrates with Run.ai and other orchestration tools.

WEKA x Nvidia: Powering AI Workloads of the Future Together

Elevate Your Game and Learn How Parliament + WEKA Joined Forces for a Super Bowl-Winning Formula in Post-Production

Key Takeaways:

- Global Collaboration: Discover how Parliament’s cloud-first strategy conquers creative boundaries on the global stage.

- WEKA’s MVP Role: Explore the game-changing storage solution that ensures high-performance without the Super Bowl-sized price tag.

- Creative Touchdowns: Learn the playbook for balancing high-quality work with the demands of the big leagues and how the right infrastructure makes the score.

Why Attend:

- Gain strategic insights into cloud optimization for post-production profitability.

- Unlock the secrets of WEKA’s transformative impact on data management.

Unlock the Super Secrets of Super Bowl Success in Post-Production

Artificial intelligence offers the potential to boost productivity and solve key business problems. But for many organizations, effective data management remains a top barrier to successful AI adoption and use.

In this one-hour webinar, Shimon Ben-David of WEKA and Allen Clingerman of Dell Technologies will provide insights on how to:

- Understand AI data-management challenges, especially for generative AI.
- Develop effective strategies for addressing those challenges.
- Explore alternatives for creating sustainable, scalable AI infrastructure.

AI Unleashed: Tackle Data Management Hurdles for Success

Featuring WEKA & Converge Technologies.

Migrating to the cloud is just first step in the cloud journey, but it doesn’t end once you get there... 23andMe adopted a cloud-first strategy over two years ago, and Arnold de Leon from 23andMe will dive into their key learnings including:

- Overcoming performance challenges in the cloud 
- Enabling cost-effective cloud solutions for low-latency, data-intensive applications that involve extensive data sharing
- Driving innovation and rapidly innovating with the flexibility the cloud offers. 

Reserve your spot to learn tips and tricks to make your next-gen workload a success!

Unlock Cloud Success with 23andMe

Demand for cloud storage has surged due to global content production, sharing, streaming, and distribution. However, cloud adoption comes with financial and environmental costs. Access and storage costs are not always transparent or predictable while some projections suggest that new data centres alone could contribute 14% of global CO2 emissions by 2040. This session will explore innovative approaches to managing cloud storage and production that, through the shift from a capex to opex cost model and making remote and collaborative working a viable option, can unlock opportunities for smaller independent studios while limiting the industry’s carbon footprint.

Panelists
Barbara Murphy, Vice President - Cloud Strategy - WEKA

Tom Dunning, CEO & Founder - Ad Signal

Rosie Pongracz, Chief Marketing Officer - Storj

Dom Robinson, Founder - Greening of Streaming

Recorded at IBC on 15th September 2024. All sessions can be found here: https://www.ibc.org/ce-sessions/896.tag

IBC Panel Discussion: Innovations in Cloud Storage and Production

AI/ML is rapidly transforming businesses across industries. But for many organizations, the journey to enterprise-scale AI adoption is still in its early stages. Join us for a discussion and hear about some of the findings from a new global survey from S&P Global Market Intelligence of more than 1,500 AI decision makers.

This chat will explore the latest trends in AI/ML, including:

- The shift from cost-saving to revenue-driving AI projects
- The top technical inhibitors to AI/ML adoption
- How to leverage a hybrid approach to deployment
- The impact of AI/ML on corporate sustainability
- How to build a modern data architecture for AI

How to Accelerate Your AI/ML Journey (And achieve your sustainability goals)

We're sure that you get lots of invites to virtual events, however, if running innovative AI projects at scale is your thing, our "Running Enterprise AI at Scale: Identifying & Overcoming Obstacles" fireside chat will be worth your while.

WEKA will welcome Patrick Bangert, VP of AI at Samsung SDS, who uses AI at scale to breakthroughs in technological innovation, R&D, preventive healthcare, and early detection of cancer and heart disease.

Watch on-demand and learn actionable insights to establish a sophisticated AI practice in your organisation.

Running Enterprise AI at Scale: Identifying & Overcoming Obstacles

Join experts from Nvidia, Run:ai and WEKA for this live webinar where we will be discussing Generative AI, how to maximise your full-scale AI potential and accelerate the delivery of your AI innovation.

Optimising Infrastructure for Generative AI

The future is the cloud and WEKA wants to help you get there. Listen in as WEKA’s Head of Cloud Enablement, Eyal David discusses why the cloud is the place to invest and how easy WEKA can integrate into existing systems.

Cloudy with a Chance of WEKA [Podcast]

This week on the podcast, we’re going International. We’re joined by Rui Gomes from atNorth. atNorth, headquartered in Iceland, has recently deployed WEKA for its HPC and AI workloads. Rui explains his WEKA journey and how atNorth using WEKA, can offer their customers HPC-as-a-service with the best performance and price point.

It's Time To Go International, Where Cooling Isn't A Problem... [Podcast]

This time on Clustered Conversations, our hosts Bob & Josh are joined by Omar from SLAC National Accelerator Laboratory. With 1/2 an exabyte, hold onto your hats for this episode because the rollercoaster of topics are like none other before. After all, were you expecting to hear about defending the Earth and how playing soccer is a possible key to success in life alongside technical discussions? That’s right, me neither. So kick back, relax, and grab some popcorn as we dive into a sea of fun and engineering.

Actually IT IS Rocket Science [Podcast]

In this episode, our hosts Bob and Josh are joined by none other than the CEO of WEKA, Liran Zvibel. Sit back, relax, and enjoy as the three reminisce about all things storage, as well as gain a little bit of insight into WEKA's past and how the company got to where it is today.

CE-Oh My WEKA Goodness [Podcast]

Cryo-EM has emerged as a powerful tool for enabling rapid advances in drug discovery. The scale, simplicity, and economics of AWS promises to transform cryo-EM workflows even further.

However, processing and analyzing large cryo-EM datasets in AWS requires the right architecture and the right data platform.

Join this chat with Baris Guler, HPC Practice Manager at Clovertex to learn:

- How cryo-EM is impacting drug discovery and the main challenges that exist.
- Why traditional storage approaches aren’t meeting the demands of cryo-EM applications like CryoSPARC.
- How they leverage WEKA with AWS to enable faster drug discovery workflows.
- What benchmarks they have seen and recommendations you can use.

Enabling Faster Drug Discovery in the Cloud

To support its mission of being a global leader in research and innovation, the University of Surrey has long invested in state-of-the-art Computer Vision and AI research. The cutting-edge experimental platforms they use, combined with the advent of big data and AI, have increased the amount of data produced and the need to support I/O heavy workloads.

At this informal fireside chat, please join Helen Cooper, Lab Facilities Manager, from the Surrey Institute for People-Centred AI, as she shares how they are:

- Improving the experience for researchers by enabling a huge quantity of data to be accessed and processed up to 8x faster, without penalties for using small files
- Reducing their technical debt by enabling researchers to focus on the algorithms instead of the computer architecture
- Lowering their environmental impact by making more efficient use of their GPUs
- Tackling data lifecycle management challenges and eliminating the need for frequent tuning

Unleashing Faster and More Efficient AI Research with the University of Surrey

This fireside chat recorded at ISC 2024 in Hamburg discusses the collaboration between WEKA and Stability AI that has revolutionised large language model deployment on AWS. Learn about the innovative strategies driving next-gen AI applications while ensuring safety controls. We will discuss how Stability AI enables fine-tuning of pre-trained models with proprietary datasets securely. Discover how WEKA has helped Stability slash storage costs by 95%, significantly increase GPU utilisation, and eliminate bottlenecks to optimise AI workflows for unprecedented efficiency.

Accelerating Large Language Models with WEKA and Stability AI - ISC '24

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Accelerating Large Language Models with WEKA and Stability AI - ISC '24

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