Welcome back to the Panasas Collective! We recently returned from an exciting time at Microscopy and Microanalysis 2023 in Minneapolis, where we spoke with world-leading researchers and technology experts about data storage and management obstacles in high-end microscopy workflows.
Get ready to take a deep dive into those challenges and see firsthand how Panasas’ data solutions help researchers accelerate analysis, improve insights, and ditch complexity. Keep scrolling for some eye-opening infographics, expert insights, and solution briefs.
Ask an Expert: What is Cryo-EM?
Cryo-EM, or cryogenic electron microscopy, has rapidly evolved from a niche technique to a game-changer in structural biology. It’s empowering scientists to peer into the tiniest building blocks of life at near-atomic detail and driving innovation across disciplines – but it comes with some colossal data challenges.
In his new blog, our resident expert Adam Marko explores cryo-EM’s impact on everything from drug discovery to renewable energy and shows you how Panasas helps researchers tackle the data deluge head-on. Check out his post here.
Infographic: Cryo-EM Data Challenges
Cryo-EM facilities have made significant technological advancements in recent years, but they continue to face several data storage and management challenges that slow down their time to insights:
- Ever-growing data volumes mean seamless scalability is critical.
- Increased data output demands higher throughput.
- Poor data retention and sharing practices undermine progress.
- Storage failures bring research to a halt.
This infographic zooms in on these challenges and tells you why cryo-EM research groups around the globe partner with Panasas to overcome them and accelerate their research pipelines. View it now here.
Solution Brief: Data Solutions for Microscopy Workflows
Now that you’ve got your eye on the core data challenges these scientists are facing, let’s talk specific solutions. Whether your lab is grappling with an increasing number of users, longer runtimes, new tech integration, or capacity uncertainty, we’re ready to help.
Panasas data storage starts at a small entry point and scales seamlessly to match your research needs. The PanFS® file system and data insight & movement software suite let you easily manage anything from hundreds of TBs to multiple PBs of imaging data.
To see which Panasas ActiveStor® platform is right for you, download the solution brief here.
Infographic: 5 Reasons You Need to Prioritize HPC Reliability
We talk about reliability quite a lot here at Panasas – and for good reason.
There’s a prevailing misconception in the high-performance computing (HPC) storage space that you need to compromise reliability and simplicity for optimized performance. Spoiler alert: you don’t.
The reality is, when it comes to system uptime and data protection, your organization cannot afford to compromise. To see why you should deploy a simple-to-use, high-performance storage solution with reliability built into its DNA, download the infographic here.
Press Release: Prestigious Institutions Use Panasas to Drive Academic Research Initiatives with HPC and AI workloads
We’re working with the world’s leading universities and research centers to harness the power HPC and AI. To learn more about how our ActiveStor portfolio of modern HPC storage solutions provides the unparalleled reliability research teams need to keep their projects on track while eliminating the management burdens associated with roll-your-own and open-source storage systems, read our latest press release here.
Thought Leadership: Why HPC Storage at the Edge Is a More Viable Option
In the rapidly evolving world of HPC, edge computing is gaining momentum. To keep up, it’s crucial to have storage solutions that can scale and adapt to dynamic HPC and AI workloads wherever the data resides.
That’s why ActiveStor® Ultra Edge was designed around the 7 essential requirements for successfully deploying HPC storage at remote edge locations. Wondering what those are? Check out the latest piece by Jeff Whitaker, Panasas VP of Product Strategy and Marketing, here.
Podcast: Sizing Data Storage for AI/ML Workloads
In this insightful podcast, Panasas software architect Curtis Anderson delves into the critical considerations of sizing storage for AI workloads. Learn about how different AI/ML frameworks impact data storage, the challenges posed by varying workload sizes, and the role of storage speed in maintaining GPU efficiency. Listen to the podcast here.
Thanks for staying in the loop with Panasas, and be sure to follow us on LinkedIn for all our updates!