Seqera’s Post

We’ve recently found a tool which could be especially useful for those of you who do your own bioinformatics. BioChest is a library of computational models for drug discovery. Through one-click tools on their web platform or an API, you can run large-scale analysis on models for protein structure prediction, protein design, docking and simulations. It’s a cloud platform with the capacity to process up to millions of input files at once on their GPU infrastructure. BioChest also allows connecting models together to create custom pipelines. According to BioChest, their cloud platform is secure, encrypted, and ensures that you, as the user, retain sole ownership of your data and IP. BioChest also offers options for hosting their software on your own infrastructure, and APIs to integrate their hosted models into in-house pipelines. Check out the website: https://biochestcloud.com/

What better way to understand Code Ocean better than apply the Olympics to it. How does your Computational team stack up. Meet our research champion that’s trained for reproducibility. 🔁 Our triathlete, Capsules; encapsulates the code, data, and environments used in computational research for sharable, traceable, and reproducible science. Capable of the things researchers need most: 🔹 Sets up environments with automated Dockerfile generation 🔹 Provisions and manages compute resources 🔹 Launches cloud workstations 🔹 Tracks everything with automated Git 🔹 Makes it easy to share your work with other groups Notable accomplishments: 🔹 Encapsulated data, code, and environment 🔹 Immutable record 🔹 Version control 🔹 Traceability Let Capsules be your gold medalist in computational research. https://lnkd.in/e8NBCsx5 #olympics2024 #researchanddevelopment #biotech

In 2022, Hut 8 was one of the first miners to diversify into High Performance Computing. Now, as peers increasingly adopt similar strategies, Forbes highlights the opportunities and challenges associated with diversification into HPC and AI and comments on Hut 8's positioning: "Of all the public miners, Bit Digital, Hut 8, Hive and Iris have put the most effort into developing HPC business segments [...] A few companies like Bit Digital and Hut 8 seem to be off to better starts than others, and perhaps the bet will pay off for many of the miners breaking into this new business line." Click to read more: https://ow.ly/A82L50Sb3T5. Hut 8 does not confirm the accuracy of the statements made in the article nor does it endorse the views provided in the article.

Discover how distributed computing strategies are revolutionizing the adoption of LLMs. This article explores innovative approaches to overcome computational challenges in LLM training and deployment. Learn about parallel processing, efficient resource allocation, and scalable architectures that accelerate LLM integration across industries. Read the full coverage here: https://lnkd.in/g5rUXrBM #generativeai #largelanguagemodels #distributedcomputing

💡 At Seqera, we’re committed to accelerating scientific breakthroughs by seamlessly integrating data, code, computing, and environments. This means researchers can spend less time on setup and more time focusing on what really matters—their science. Sage Bionetworks perfectly captures this impact: “By running our Nextflow pipelines with Seqera, we now spend 50% less time compared to running individual workflows on EC2. Plus, by leveraging nf-core pipelines and tools, we’ve cut workflow development time by 80%.” 🔗 Explore their story: https://hubs.la/Q02-wxnC0 #Nextflow #Bioinformatics #CaseStudy #AcceleratingScience

Boost your business performance with the right computing strategy! 🌐 Explore the key differences between distributed and parallel computing, and how they can optimize performance across multiple systems to unlock optimal operational efficiency. 🚀 Read now! https://lnkd.in/dWaqMJzF #DistributedComputing #ParallelComputing #DataProcessing #ComputationalEfficiency #ScalableSystems #TechInnovation #technology #trending #trendingnow #trendingpost #explore #explorepage #techdogs

Unlocking Optimal Performance: Distributed vs. Parallel Computing Feeling overwhelmed by data processing needs? Let's explore the power of distributed and parallel computing! How these approaches differ and optimize performance across systems. Strategies for achieving unparalleled operational efficiency! **Ready to unlock the potential of your data? ** #DistributedComputing #ParallelComputing #DataProcessing #ComputationalEfficiency #ScalableSystems #TechInnovation #technology #TechDogs #BusinessPerformance #BoostYourBusiness

Hammerspace and Parallel Works are featured in Orchestrating the Future - a webinar hosted by The Register. Sign up here: https://lnkd.in/gTiq5rUX Join David Flynn, CEO of Hammerspace and Matthew Shaxted, CEO of Parallel Works, who will be telling the Reg’s Tim Phillips more about this solution. You will learn: · The challenge of orchestrating hybrid- and multi-cloud HPC workloads · The benefits of a unified control plane for HPC computing resources · How to combine Parallel Works' compute resource orchestration with Hammerspace global data orchestration #webinar #thoughtleadership #learning #globaldataplatform #dataorchestration #hyperscaleNAS #ai #hpc #generativeai #artificialintelligence

Check out our webinar with Parallel Works October 24 at noon EDT! Learn how our joint solution pairs simplification of running HPC workloads with data orchestration and performance!