We ❤️ to see our partner NetApp changing the #data for #AI game with the new AFF A-Series systems! With cutting-edge solutions revolutionizing data storage for the AI era, demanding workloads orchestrated by the Domino Data Lab platform will FLY 🚀, in all safety, responsibility, and without breaking the bank, of course! Learn more here: https://lnkd.in/gEJ3iBr7 #AI #GenAI #GenerativeAI #ResponsibleAI #RAI #datascience #machinelearning #ml #mlops #EnterpriseAI #AIatscale #DataStorage #Innovation #NetApp
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The rapid evolution of the global AI market is reshaping the landscape of the technology industry. Explore critical insights into the AI server sector with DIGITIMES Research's senior analyst, Jim Hsiao. Delve into an analysis of the present state, supply chain intricacies, short-term trends, and projections for high-end AI server shipments in 2024. Gain a comprehensive understanding of the dynamic forces driving the AI server industry by joining this exploration led by Jim. https://lnkd.in/gB3VeFHX
AI Server Ecosystem
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What exactly are CDUs, and how do they work? CDUs are the backbone of #liquidcooling, regulating coolant distribution and maintaining optimal conditions for server cold plates. Dive into their crucial role in enhancing efficiency and reliability in data centers. http://ms.spr.ly/6048cFPYE #datacentercooling #AI
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If the superpower of #DeepLearning is the transformation of unstructured data into structured data, the VAST Data Platform is the software-based real-time engine that sits between #AI applications and the HW layer that drives modern computing and storage. The VAST Data Platform integrates #UnstructuredData management services with a structured data environment and a compute runtime intended on refining unstructured data into query-able, actionable information.
The VAST Data Platform
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Discover the immense potential of Gen AI across key industries like finance, healthcare, tech, and retail, with a projected $4 trillion in incremental value. Stay tuned for more updates! 🚀 Vivek Ganesh | MongoDB #TheGenAISummit2024 #Inc42 #GenAI #Artificialintelligence
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The enterprise world witnessed the fastest tech adoption ever, spotlighting the undeniable potential of LLMs. At the heart of this widespread adoption is the #MOOD stack — Models, #Observability, Orchestration, and Data. This four-layered framework is becoming the backbone of all LLM-powered applications, drawing parallels with the revolutionary LAMP stack that powered the internet growth era. 📌 Models: The foundation, offering a variety of proprietary and open-source options. 📌 Observability: Ensuring governance, interpretability, and operational visibility. 📌 Orchestration: Integrating workflows across data, model, and business infrastructure. 📌 Data: The bedrock, focusing on efficient management and accessibility. As more enterprises move their LLM projects into production, the MOOD stack promises to streamline development, enhance operational efficiency, and foster innovation. Read full blog 🔗: https://buff.ly/3YjPxo7 — #AI #ArtificialIntelligence #ML #MachineLearning #MLOps #LLMs #LLMOps #GenAI #GenerativeAI #DataScience #DataScientist #DataEngineering #DataEngineer #CIO #ResponsibleAI #EthicalAI #AIObservability
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Model serving is much more than providing inference endpoints (APIs)! Underneath, it involves 🔀 a “scheduler" for allocating and running GPUs for inference endpoints; 📈 a “managed serving framework” to allow autoscale, failover, observability, and gateway to different models; 🛠 a “model and API definition layer” to define the model architecture and the inference engine (e.g., ScaleLLM, vLLM, etc) to run the model; 💻 an “inference engine and hardware layer” to leverage various hardware accelerators for serving the model (GPU, LPU, TPU, …). It is a fascinating system with huge room for innovation at many layers, beyond just the inference engine that has been the main focus of research community till now. In our recent blogpost we provide an overview of FEDML’s model serving platform (https://lnkd.in/guzd8E4E), and a quick user guide on how to start using it: https://lnkd.in/gtv9ZKbu
#genai #modelserving FEDML’s Five-layer Model Serving Platform! FEDML Nexus AI platform (https://fedml.ai) provides one of the most advanced model inference services composed of a 5-layer architecture: Layer 0: Deployment and Inference Endpoint. This layer enables HTTPs API, model customization (train/fine-tuning), scalability, scheduling, ops management, logging, monitoring, security (e.g., trust layer for LLM), compliance (SOC2), and on-prem deployment. Layer 1: FEDML Launch Scheduler. It collaborates with the L0 MLOps platform to handle deployment workflow on GPU devices for running serving code and configuration. Layer 2: FEDML Serving Framework. It’s a managed framework for serving scalability and observability. It will load the serving engine and user-level serving code. Layer 3: Model Definition and Inference APIs. Developers can define the model architecture, the inference engine to run the model, and the related schema of the model inference APIs. Layer 4: Inference Engine and Hardware. This is the layer many machine learning system researchers and hardware accelerator companies work to optimize the inference latency & throughput. In our newest technical blog post, we delve into the details of FEDML’ model deployment and serving framework and how developers can start using it: https://lnkd.in/gHD48Gqy
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Hazelcast - Application Modernisation | Microservices | Real Time AI/ML | Mainframe Offload | Resilience | Consistency
Did you miss our 5.4 announcement last week? 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
hazelcast.shp.so
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Do you know, how AI ready Data Centers can transform your business? In a recent discussion CTO Chris Sharp and Nordic MD Pernille Hoffmann explored the latest trends in the #datacenter industry and how these innovations can provide significant advantages for your business. Watch the video to learn how AI-ready data centers can help you stay ahead in the rapidly evolving world of artificial intelligence and #data management. Understand the key trends shaping AI-ready data centers: - Data Gravity Index™ - High-Performance Compute (#HPC) - #Interconnectivity - Power supply Watch the video now and leverage the full potential of AI.
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Helping organisations to get more from their data and insight faster, whilst solving business challenges and improving the customer experience.
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
hazelcast.shp.so
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Helping organisations to get more from their data and insight faster, whilst solving business challenges and improving the customer experience.
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
hazelcast.shp.so
☰ Cloud & Software Architect ☰ MLOps ☰ AIOps ☰ Helping companies scale their platforms to an enterprise grade level
2moIt's impressive to witness NetApp's advancements in AI data storage with the AFF A-Series systems! Cutting-edge solutions are indeed shaping a new era of innovation. Thomas Been