Want to get ahead in the world of AI & ML? Let's dive into this: 📍Bytesnet & UbiOps are redefining AI workload support 📍Through a state-of-the-art data center in Groningen 📍High-Performance Computing (HPC) isn't just a fancy term; it's the backbone of AI progress It's not just about having the right resources; it's about how you use them. From machine learning operations (MLOps) to HPC, here’s the reality: Half of the tech world is in a hurry to catch up. Our in-depth interview with Yvan Fafchamps & Leo de Vries helps you to get ahead. We cover a wide range of topics, from personal introductions and backgrounds to the intricacies of High Performance Computing (HPC), Machine Learning Operations (MLOps), and the strategic collaboration between UbiOps and Bytesnet to deliver superior support for AI applications. Check out the complete interview in the link below: https://lnkd.in/es_cgxSN #ai #ml #mlops #innovation #datacenter
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New interview available! 😎 In this video, Yvan Fafchamps from UbiOps interviews Leo de Vries, Msc BA de Vries, HPC & Cloud IaaS Manager at Bytesnet, about best practices for maintaining artificial intelligence (AI) and machine learning (ML) workloads. They discuss the the biggest challenges involved in running AI at scale and how to solve them! Let's dive into this! #ml #ai #hpc #datacentre
Want to get ahead in the world of AI & ML? Let's dive into this: 📍Bytesnet & UbiOps are redefining AI workload support 📍Through a state-of-the-art data center in Groningen 📍High-Performance Computing (HPC) isn't just a fancy term; it's the backbone of AI progress It's not just about having the right resources; it's about how you use them. From machine learning operations (MLOps) to HPC, here’s the reality: Half of the tech world is in a hurry to catch up. Our in-depth interview with Yvan Fafchamps & Leo de Vries helps you to get ahead. We cover a wide range of topics, from personal introductions and backgrounds to the intricacies of High Performance Computing (HPC), Machine Learning Operations (MLOps), and the strategic collaboration between UbiOps and Bytesnet to deliver superior support for AI applications. Check out the complete interview in the link below: https://lnkd.in/es_cgxSN #ai #ml #mlops #innovation #datacenter
Best ways to support AI workloads with UbiOps and Bytesnet
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Maximize your #AI and ML workloads with Supermicro’s #Storage Optimised for AI 👌. Offering speed, reliability, and ease of use to support AI and ML model training and inferencing workloads, #Supermicro's high-performance storage enables: - Proven AI storage reference architecture - Unlock the value of your data - Powerful with Petascale - Shorter time to deployment Discover more - https://lnkd.in/gCn6Y4y
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Forbes Steve McDowell provides a really good summary of what is happening from a data perspective in the world of large-scale AI architectures and how WEKA uniquely addressed the challenge. "AI demands high-throughput and low-latency access to data that can scale without degradation to thousands of nodes. Traditional parallel file systems designed for HPC workloads only solve pieces of the problem, while conventional storage solutions struggle with the scalability and distributed nature inherent in AI training. This is where WEKA enters the picture, delivering a technology to build data pipelines robust enough to handle the diverse data needs crucial for high-performance computing, AI workloads, and machine learning." 🚀 💥 #WinwithWEKA #SeriesEFunding #AI #DataInfrastructure #UnicornStatus #gpu #dataplatform #enterpriseai #aiinfrastructure #innovation https://hubs.la/Q02xtTS_0
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Our data centers are tailored to support your Generative AI solutions. Generative AI models are some of the most powerful and compute-intensive applications, necessitating specialized infrastructure with high-end GPUs. These AI applications typically demand significantly higher power density than standard equipment, along with advanced capabilities and extensive backup resources to ensure continuous uptime. With extensive experience in supporting both traditional Machine Learning (ML) and generative Artificial Intelligence (AI) applications, we leverage High-Performance Compute (HPC) architectures within our data centers. Discover more about our AI-Ready data center solutions through our comprehensive video and written content available via the link below 👇 http://spr.ly/6048iBi4y #GenAI #ML #AI #HPC #datacenter
Our data centers are optimized for your Generative AI solutions #GenAI models are among the most powerful and compute-intensive applications, and require specialized infrastructure with high end #GPU's. Typically, AI applications require much higher-density power than standard equipment, with matching advanced capability and more extensive backup resources to maintain uptime. We have extensive experience in supporting both traditional Machine Learning (#ML) and generative Artificial Intelligence (#AI) applications using High-Performance Compute (#HPC) architectures in the #datacenter. Learn more about our AI-Ready data center solutions through numerous video and written content via the link below 👇 http://spr.ly/6048iBi4y
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Technical Reviewer | 6 x RedHat Certified | DevOps | Pulumi | Python | Ansible | Ceph | VMware | AWS | Kubernetes | Docker | Openshift
🌐 Kubernetes vs. Traditional Infrastructure: Which is Best for AI Workloads? 🤖 As AI continues to revolutionize industries, the choice of infrastructure plays a critical role in maximizing performance and efficiency. In my latest blog post, I delve into: 🔍 Scalability: How does each option handle growing data and workload demands? ⚙️ Automation: What benefits do Kubernetes and traditional infrastructure offer for deploying AI applications? 💡 Efficiency: Which infrastructure delivers better performance for machine learning and deep learning models? Join the discussion as we compare Kubernetes with traditional infrastructure for AI workloads! 👉 https://lnkd.in/g2kkcXVS Let’s share insights and strategies to harness the power of AI effectively! #Kubernetes #AI #MachineLearning #artificialintelligence #Infrastructure #TechBlog
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Forbes Steve McDowell provides a really good summary of what is happening from a data perspective in the world of large-scale AI architectures and how WEKA uniquely addressed the challenge. "AI demands high-throughput and low-latency access to data that can scale without degradation to thousands of nodes. Traditional parallel file systems designed for HPC workloads only solve pieces of the problem, while conventional storage solutions struggle with the scalability and distributed nature inherent in AI training. This is where WEKA enters the picture, delivering a technology to build data pipelines robust enough to handle the diverse data needs crucial for high-performance computing, AI workloads, and machine learning." 🚀 💥 #WinwithWEKA #SeriesEFunding #AI #DataInfrastructure #UnicornStatus #gpu #dataplatform #enterpriseai #aiinfrastructure #innovation https://hubs.la/Q02xtTS_0
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Maximize your #AI and ML workloads with Supermicro’s #Storage Optimised for AI 👌. ☎️ 068 397 0087/ 064 858 4337 📧. sales@blessenzoholdingsict.com / musiclegacy30@gmail.com 🌐. https://lnkd.in/d996iQia Offering speed, reliability, and ease of use to support AI and ML model training and inferencing workloads, #Supermicro's high-performance storage enables: - Proven AI storage reference architecture - Unlock the value of your data - Powerful with Petascale - Shorter time to deployment Discover more - https://lnkd.in/gCn6Y4y
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Did you miss our 5.4 announcement last week? Here’s the scoop: Hazelcast Platform 5.4 is now available, bringing cutting-edge solutions to meet today’s data-intensive, AI challenges head-on! -With the Advanced CP Subsystem, Hazelcast ensures an accurate, up-to-date view of data across all client requests for key/value data structures in distributed systems. -Thread-per-core (TPC) architecture, offers an efficient and predictable approach to maintaining data consistency and performance at scale. TPC architecture taps into every core of a modern CPU to enhance Hazelcast Platform's throughput by up to an additional 30% on large workloads. This means organizations can now process huge data volumes in sub-milliseconds, leveraging unrivaled computational power. -Our Tiered Storage innovation scales storage processing seamlessly for AI/ML workloads, integrating effortlessly with Hazelcast’s unique fast data store architecture. This ensures a flexible and integrated environment for handling intense data demands. #HazelcastPlatform #BigData #TechInnovation #AI #ML
VentureBeat: Hazelcast 5.4 real time data processing platform boosts AI and consistency
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WasmEdge, portable and lightweight runtime for AI/#LLM workloads | Project Lightning Talk on #KubeConEU. A sneak peek on why #Wasm is the runtime for LLMs https://lnkd.in/gvH2QWKk
WasmEdge, portable and lightweight runtime for AI/LLM workloads | Project Lightning Talk
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Helping companies modernize their applications to create new revenue streams, mitigate risk, and operate efficiently.
Did you miss our 5.4 announcement last week? Here’s the scoop: Hazelcast Platform 5.4 is now available, bringing cutting-edge solutions to meet today’s data-intensive, AI challenges head-on! -With the Advanced CP Subsystem, Hazelcast ensures an accurate, up-to-date view of data across all client requests for key/value data structures in distributed systems. -Thread-per-core (TPC) architecture, offers an efficient and predictable approach to maintaining data consistency and performance at scale. TPC architecture taps into every core of a modern CPU to enhance Hazelcast Platform's throughput by up to an additional 30% on large workloads. This means organizations can now process huge data volumes in sub-milliseconds, leveraging unrivaled computational power. -Our Tiered Storage innovation scales storage processing seamlessly for AI/ML workloads, integrating effortlessly with Hazelcast’s unique fast data store architecture. This ensures a flexible and integrated environment for handling intense data demands. #HazelcastPlatform #BigData #TechInnovation #AI #ML
VentureBeat: Hazelcast 5.4 real time data processing platform boosts AI and consistency
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