To meet consumer demands, product development teams are constantly challenged to produce better designs at a faster pace. By combining the power of AI with cloud computing on Amazon Web Services (AWS), Ansys SimAI enables organizations to speed up innovation. With #Artificialintelligence in the #cloud, engineers and designers can amplify the power of simulation, transcend previous compute limitations, gain relief from AI pipeline IT complexity, and maintain data security. Click the link below to learn more about maximizing simulations with secure, cloud-native AI.
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🚀 Exciting Announcement: Cloudera AI Inference Tech Preview 🚀 Introducing the tech preview of Cloudera AI Inference, powered by NVIDIA's full-stack accelerated computing platform! This cutting-edge service integrates NVIDIA NIM inference microservices for generative AI, providing streamlined deployment and management of large-scale AI models. ⚙️ Key Features: - Hybrid Cloud Support: Flexibility to run workloads on-premises or in the cloud. - Platform-as-a-Service Privacy: Deploy models within your own Virtual Private Cloud for added security. - Real-time Monitoring: Gain insights into model performance for quick issue resolution. - Performance Optimizations: Up to 3.7x throughput increase for CPU-based inferences and up to 36x faster performance for NVIDIA GPU-based inferences. - Scalability and High Availability: Scale-to-zero autoscaling and HA support for efficient resource management. - Advanced Deployment Patterns: A/B testing and canary rollout/rollback for controlled model version deployment. - Enterprise-grade Security: Tight control over model and data access with security features like Service Accounts, Access Control, Lineage, and Audit. 🔮 Early Access: Get a sneak peek into enterprise AI model serving and MLOps capabilities with the Cloudera AI Inference tech preview. Read more: (https://lnkd.in/eAe6CPnw)
Cloudera Introduces AI Inference Service With NVIDIA NIM - Cloudera Blog
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🌩️ Beyond the Hype: The Real Impact of Cloud on the AI Revolution As we navigate the bustling intersection of cloud computing and AI, a pivotal question looms: Is the cloud truly the panacea for AI’s complex challenges, or are we just scratching the surface? At Stack Digital, our journey into the cloud's role in AI has unveiled a landscape rich with potential yet fraught with overlooked complexities. The Promise vs. The Reality Cloud providers are quick to tout AI-optimized instances, boasting specialized hardware like GPUs and TPUs designed to supercharge AI applications. This proposition is enticing, offering a seemingly straightforward path to leveraging AI's power. However, the journey is seldom as simple as provisioning compute resources. The real challenge lies in the scaffolding of AI projects - data governance, ETL pipelines, model deployment, and scaling. These foundational elements often pose more significant hurdles than anticipated, revealing that the cloud's role in AI extends far beyond hardware capabilities. A Call for a Deeper Dialogue This realization prompts a broader discussion within the tech community about operationalizing AI at scale. How do we navigate the intricacies of data management, ensure ethical AI practices, and truly harness the cloud’s potential to democratize AI? I’m reaching out to industry peers, data scientists, and cloud architects to share your insights: What obstacles have you encountered in integrating AI with cloud platforms? How are you addressing the complexities of data management and ethical AI within the cloud? The cloud's role in the AI revolution is undeniably transformative, but it's time to engage in a deeper dialogue about the path forward. Let’s demystify the challenges and collaboratively explore solutions to fully unlock AI’s transformative power. #CloudAI #AIRevolution #DataGovernance #EthicalAI #TechChallenges #CloudComputing Stack Digital
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Founder of Palm Beach Software Design, Win-Cart.com, and RouteTrackDeliver.com. I provide consulting, coaching, and software development services ✔️ Founder ✔️CEO ✔️CIO ✔️ Author ✔️ Consultant ✔️ Business Process Expert
Leverage the Latest Technologies for Competitive Advantage Stay informed about the latest technologies and trends in software development to keep your project cutting-edge. *Technologies such as AI, machine learning, and cloud computing can significantly enhance the capabilities of your software. *Palm Beach Software Design provides AI integration when it makes sense. We are experts in Artificial Intelligence. This approach not only improves project outcomes but also positions your business as an innovator in your industry. #TechInnovation #ModernSoftware #AIandCloud #PalmBeachSoftware #MarkTurkel #SoftwareDevelopmentPlaybook
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🚀 Exciting News! Nutanix is now introducing GPT-in-a-Box 2.0, a secure, full-stack enterprise AI platform built to simplify deploying LLMs, MLOps, and GenAI apps anywhere—from core to edge to cloud. 🌐 Key Features: Simplify GenAI Use Cases: Deploy powerful AI solutions tailored for finance, healthcare, public sector, and more. Finance: Fraud detection, risk assessment, customer service, algorithmic trading. Healthcare: Enhance patient care, streamline diagnostics, personalized treatment plans, improve operational efficiency. Public Sector: Streamline administrative processes, enhance decision-making, optimize resource allocation. Create, Deploy, Manage APIs & LLMs: Access and manage APIs and LLMs from NVIDIA NIM, Hugging Face, or your own models. Integrate validated LLMs for seamless workflows and quick adaptation to model trends and changes. Enable rapid deployment of GenAI models using NVIDIA NIM microservices and Hugging Face integrations. Standard Hardware Compatibility: Use standard servers, GPUs, and containers for GenAI without needing a special architecture. Leverage the latest NVIDIA data center GPUs like L40s and H100, and Intel AMX for AI workloads. Compatible with major hardware platforms, including Dell, HPE, Lenovo, and Nutanix NX. Standardized Data Services: Built on the Nutanix Cloud Platform, offering secure, resilient, and scalable data services from edge to cloud. Utilize Nutanix Unified Storage for files and objects, and Nutanix Data Services for Kubernetes® for containerized environments. Benefit from Nutanix Multicloud Snapshot Technology for intelligent data snapshot management across public and private clouds. GenAI Use Cases and Solutions: Private GPT: Control data security and privacy with a private GenAI chatbot. GenAI for Code: Boost developer productivity with AI-assisted code generation. GenAI for Content: Enhance marketing and sales productivity with AI-driven content creation. AI-Assisted Document Understanding: Extract, interpret, and process documents while safeguarding intellectual property and sensitive data. Build and Deploy with AI Partners: NVIDIA: Easily deploy NVIDIA NIM for optimized cloud-native GenAI microservices. Hugging Face: Integrate LLMs from Hugging Face to run seamlessly on GPT-in-a-Box 2.0. Next Steps: - Nutanix GPT-in-a-Box 2.0 will be available in the second half of 2024. - Explore how GPT-in-a-Box 2.0 can accelerate your enterprise GenAI strategy and maintain control over your data. - Learn more about our innovative AI solutions and stay ahead of the curve. 🔗 For more information, see the blog post here. https://lnkd.in/emsDbv3c #Nutanix #AI #GenAI #HybridCloud #Innovation #EnterpriseAI #GPTinaBox
GPT-in-a-Box 2.0 is Here With Four Ways to Get Started with GenAI
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#Topics Introducing Cloud TPU v5p and AI Hypercomputer [ad_1] Performance-optimized hardware: AI Hypercomputer features performance-optimized compute, storage, and networking built over an ultrascale data center infrastructure, leveraging a high-density footprint, liquid cooling, and our Jupiter data center network technology. All of this is predicated on technologies that are built with efficiency at their core; leveraging clean energy and a deep commitment to water stewardship, and that are helping us move toward a carbon-free future.Open software: AI Hypercomputer enables developers to access our performance-optimized hardware through the use of open software to tune, manage, and dynamically orchestrate AI training and inference workloads on top of performance-optimized AI hardware.Extensive support for popular ML frameworks such as JAX, TensorFlow, and PyTorch are available right out of the box. Both JAX and PyTorch are powered by OpenXLA compiler for building sophisticated LLMs. XLA serves as a foundational backbone, enabling the creation of complex multi-layered models (Llama 2 training and inference on Cloud TPUs with PyTorch/XLA). It optimizes distributed architectures across a wide range of hardware platforms, ensuring easy-to-use and efficient model developme...
Introducing Cloud TPU v5p and AI Hypercomputer - AIPressRoom
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#Topics Introducing Cloud TPU v5p and AI Hypercomputer [ad_1] Performance-optimized hardware: AI Hypercomputer features performance-optimized compute, storage, and networking built over an ultrascale data center infrastructure, leveraging a high-density footprint, liquid cooling, and our Jupiter data center network technology. All of this is predicated on technologies that are built with efficiency at their core; leveraging clean energy and a deep commitment to water stewardship, and that are helping us move toward a carbon-free future.Open software: AI Hypercomputer enables developers to access our performance-optimized hardware through the use of open software to tune, manage, and dynamically orchestrate AI training and inference workloads on top of performance-optimized AI hardware.Extensive support for popular ML frameworks such as JAX, TensorFlow, and PyTorch are available right out of the box. Both JAX and PyTorch are powered by OpenXLA compiler for building sophisticated LLMs. XLA serves as a foundational backbone, enabling the creation of complex multi-layered models (Llama 2 training and inference on Cloud TPUs with PyTorch/XLA). It optimizes distributed architectures across a wide range of hardware platforms, ensuring easy-to-use and efficient model developme...
Introducing Cloud TPU v5p and AI Hypercomputer - AIPressRoom
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The video captures an overview and a step-by-step process on how to use Model-as-a-Service (MaaS) in Azure AI model catalog through inference APIs and hosted fine-tuning. It will enable developers and machine learning professionals to easily integrate foundation models such as Llama 2 from Meta, upcoming premium models from Mistral, and Jais from G42 as an API endpoint to their applications and fine-tune models without having to manage the underlying GPU infrastructure. Learn more: https://lnkd.in/dnJAsEE3 #Microsoft #MicrosoftAzure #AI #Azure #azureservices #intelegaintechnologies #intelegain
Model-as-a-service in Azure AI
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Top 5 most read industry articles in 2023 👇 As the year concludes, we have rounded up the most popular articles read by IT directors, CIOs, and other tech leaders on our insights blog. Industry articles read by IT leaders cover everything from: 🤖 An introduction to Azure OpenAI ✅ How organisations are using AI to improve sustainability ☁️ Approaches to cloud migration ⚠️ The hidden costs of legacy systems 💡 The IT Leaders Guide to AI and Machine Learning Read the articles here ➡️ https://lnkd.in/gGHt5DK6 #AzureOpenAI #AI #MachineLearning #cloudmigration #legacysystems
Top 5 most read industry articles by IT leaders in 2023
audacia.co.uk
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Project manager | Cybersecurity Analyst | Android developer | ML | AI | Web Developer | NUCES | VP FTC | VP E-Gaming | GDSC Co-lead
Project update! 🤖 In a mood to utilize my free time and create something new, I've developed a tool using Streamlit that instantly creates blog posts based on your input. Powered by the Llama-2 model, this tool allows you to choose a topic, set the word count, and select the audience type (like Researchers, Data Scientists, or Common People). It generates a polished draft using advanced AI language models. Here’s how it works: Input: Enter your blog topic, desired word count, and audience style. Processing: The tool utilizes the Llama-2 model to craft a tailored blog post based on your inputs. Output: Within seconds, you get a ready-to-review blog draft. Currently running on CPU, the processing time will significantly improve when migrating to cloud services. This project showcases AI's potential in simplifying content creation across various domains. Check out the demo and share your thoughts!
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Leverage the Latest Technologies for Competitive Advantage Stay informed about the latest technologies and trends in software development to keep your project cutting-edge. *Technologies such as AI, machine learning, and cloud computing can significantly enhance the capabilities of your software. *Palm Beach Software Design provides AI integration when it makes sense. We are experts in Artificial Intelligence. This approach not only improves project outcomes but also positions your business as an innovator in your industry. #TechInnovation #ModernSoftware #AIandCloud #PalmBeachSoftware #MarkTurkel #SoftwareDevelopmentPlaybook
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