New partnership empowers publishers to make money from AI by deploying AI copilots, syndicating content, and monetizing conversations with Sovrn-powered ads Sovrn, a technology platform that helps publishers and creators earn and keep more revenue, announced its partnership with Dappier, the AI monetization platform. Together, the companies are giving publishers a turnkey offering to make […]| MarTech Series
Mesh-AI is thrilled to announce the next step in our collaboration with OpenAI to reimagine the capabilities of our enterprise customers. We are now one of OpenAI’s UK Services Partners, giving us the foundation to continue building enterprise-grade solutions alongside one of the world’s most prominent AI companies. Having already built capabilities for enterprises using […]| MarTech Series
Invitation-only summit convenes 1,200+ marketers and Fortune 500 CEOs and CMOs to shape the future of AI-powered marketing Zeta Global, the AI Marketing Cloud, unveiled an expanded lineup for Zeta Live 2025, its invitation-only flagship event on October 9, 2025, in New York City, bringing together 1,200+ marketers, 70+ speakers from top brands including AWS, […]| MarTech Series
Mural strengthens executive leadership team with appointment of new CTO Mural, the leading visual collaboration platform, announced the appointment of Omar Ayub as its new Chief Technology Officer. He brings nearly two decades of experience in engineering, software development, and AI at fast-growing technology companies. As CTO, Omar will spearhead Mural’s technology strategy and accelerate its […]| MarTech Series
Today’s automotive industry demands powertrains that excel in durability and performance. Read on to see how AI can accelerate your gear stress analysis.| Simcenter
Enterprises like Old Dominion Freight Line trust Jasper to accelerate execution, scale content operations, and strengthen brand governance Jasper, the world’s leading agentic marketing platform, announced the results of a newly commissioned Total Economic Impact™ (TEI) study by Forrester Consulting. The study concluded that enterprises using Jasper realized a 342% return on investment (ROI) and benefits […]| MarTech Series
A next-gen strategy connecting dealers, partners, and data to shape the future of retail dealerships DriveCentric, a leading provider of automotive CRM and AI-driven customer engagement solutions, announced a bold strategy centered on innovation and integration. In a briefing with industry analysts, DriveCentric’s CEO Matt Leone outlined the company’s evolution from a standalone CRM system into […]| MarTech Series
Partnership highlights AR-enhanced engagement for live video streaming and happy hour event at IBC Agora, a global leader in real-time engagement and conversational AI technology, and Banuba, a pioneer in AR & AI effects for video conferencing and other domains, will highlight their ongoing collaboration at IBC 2025 in Amsterdam. Together, the companies are bringing […]| MarTech Series
Monte Carlo announced the launch of Agent Observability, a groundbreaking capability that provides end-to-end visibility across the data + AI stack.| MarTech Series
Artificial intelligence now drives faster coding, higher accuracy, and measurable productivity gains. Leading AI coding tools like GitHub Copilot, Windsurf, and Tabnine generate functions in seconds, detect bugs early, and adapt to individual developer workflows. In this guide, we compare their performance from solo prototyping to enterprise-scale projects, including remote coding scenarios. High-performance AI assistants […]| Collabnix
Red teaming matters more than ever in 2025 and beyond. Find out how organizations are read teaming with AI to fight AI.| CDInsights
Neoclouds are filling the need for fast and affordable access to the GPUs that enterprises need to support their AI efforts.| CDInsights
Cohesity is like a three-tier company, with the tiers growing larger as new growth opportunities emerge. This was a perception that resulted from a conversation with CEO Sanjay Poonen. He said Cohesity stared out as an enterprise backup and restore, data protection company, built round a file system that provided great performance, scale and extensibility. […]| Blocks and Files
Eighty-three percent of businesses that suffered a ransomware infection in the last two years recovered, with only 17 percent suffering permanent data loss, according to the 2025 State of Data and Cloud Strategy Survey Report by cloud file services company CTERA. CTERA surveyed 300 senior IT and security leaders from the US, EMEA, and APAC […]| Blocks and Files
Digital in-memory compute chip startup d-Matrix has a new 3D stacking memory technology (3DIMC) promising to run AI models 10x faster and slash energy use by up to 90 percent compared to the current industry standard, HBM4. The firm was founded in 2019 by CEO Sid Sheth and CTO Sudeep Bhoja, both executives at high-speed […]| Blocks and Files
Entertainment and media-focused storage supplier 45Drives launched the Storage Setup Wizard, a free, open source desktop app that finally makes Linux/ZFS storage servers simple, secure, and accessible. Available for Windows, macOS, and Linux, the Wizard auto-discovers and configures 45HomeLab and 45Professional servers directly over a local network—no keyboard, monitor, or Linux expertise required. Dr. Doug […]| Blocks and Files
Interview: Denodo claims its DeepQuery facility enables generative AI to go beyond retrieval-augmented generation (RAG), which just retrieves facts. DeepQuery investigates, synthesizes, and explains its reasoning. Denodo says DeepQuery will let users ask questions such as “What’s driving changes in customer retention across regions?” and respond by connecting to live, governed data across different systems, […]| Blocks and Files
LLM inference pipelines are hitting a scalability wall as prefill and decode phases compete for the same compute, causing latency spikes and underutilized resources. DistServe tackles this by disaggregating prefill and decode computation across separate GPUs—eliminating interference, decoupling resource planning, and unlocking new levels of optimization for both time-to-first-token (TTFT) and time-per-output-token (TPOT).| AMD ROCm Blogs
Advancements in large-scale language models (LLMs) have led to significant performance breakthroughs across various domains, especially in natural language processing. LLMs typically consist of billions of parameters, resulting in substantial computational, storage, and deployment challenges. Inter-GPU communication overhead often emerges as a key bottleneck limiting overall system performance. In tensor-parallel setups, every layer requires frequent all-reduce operations—synchronizing larg...| AMD ROCm Blogs
For developers pushing LLM inference to its limits, efficiency and speed are non-negotiable. DeepSeek-V3’s Multi-head Latent Attention (MLA) layer rethinks traditional attention to cut memory bandwidth pressure while maintaining accuracy. Combined with the matrix absorbed optimization and AMD’s AI Tensor Engine for ROCm (AITER), this can deliver up to 2X faster inference on AMD Instinct™ MI300X GPUs compared to non-AITER runs.| AMD ROCm Blogs
Training large language models (LLMs) at scale is inherently complex. Different frameworks expose inconsistent interfaces, multi-GPU and distributed setups require brittle scripting, and backend-specific quirks introduce overhead that slows down training iterations. Primus tackles these challenges with a streamlined, backend-agnostic training framework that helps developers launch, customize, and scale training jobs faster on AMD GPUs.| AMD ROCm Blogs
This blog introduces a novel and computationally efficient paradigm for Vision-Language Models (VLMs), which diverges from the conventional method of prepending visual tokens to textual input. Instead of elongating the input sequence, this approach injects visual information directly into the Large Language Model’s (LLM) parameters. It achieves this by using a vision encoder to extract image features and then employing a perceptual weight generator to transform these features into dynamic, ...| AMD ROCm Blogs
In our previous blog post, we introduced the Deep Graph Library (DGL) and highlighted how its support on the AMD ROCm platform unlocks scalable, performant graph neural networks (GNNs) on AMD GPUs. That post focused on the why — the growing relevance of graph workloads and what it means to bring that capability to AMD’s accelerated computing ecosystem.| AMD ROCm Blogs
This blog post will guide you through fine-tuning Wan2.2 - a state-of-the-art video generation model - on a single AMD Instinct MI300X GPU. By following this guide, you’ll unlock Wan2.2’s advanced video generation capabilities and customize the output — whether in a unique artistic style or a specialized domain — all while running memory efficiently even on a single GPU. Here are some examples of how you can put this guide into practice:| AMD ROCm Blogs
Building workflows for generative AI tasks can of course be done purely in code. However, as the interest in GenAI has soared together with its use in people’s daily lives, more and more people start to search for and explore tools and software for building GenAI workflows that do not require extensive programming knowledge. One such tool is ComfyUI, which provides users with a simple drag and drop UI for building GenAI workflows. This blog post will briefly cover what ComfyUI is, and how y...| AMD ROCm Blogs
This blog takes a closer look at recent advances in AI-powered video editing, highlighting how modern diffusion models enable users to accomplish various video editing tasks on AMD Instinct GPUs using Alibaba’s VACE model.| AMD ROCm Blogs
Enabling ROCm support for FastVideo inference using TeaCache on AMD Instinct GPUs, accelerating video generation with optimized backends| ROCm Blogs
We came across Cy4Data Labs whose Cy4Secure software protects data in use, with no access performance loss and database-level encryption down to a single field or word. It offers: Cy4Data Labs was founded by CEO Lance Smith, ex-CEO at Primary Data and an SVP at SanDisk and COO at Fusion-io, and CMO Rick White ex-CMO at […]| Blocks and Files
Dell’s quarterly revenues showed a 19 percent jump to a record $29.8 billion in its second fiscal 2026 quarter, as server and networking revenues, fueled by AI demand, rose an astonishing 69 percent, beating the $29.5 billion high-point of its guidance Overall Infrastructure Solutions Group (ISG) revenues rose 44 percent to $16.8 billion, overtaking Client […]| Blocks and Files
Pure Storage knocked its revenue ball out of the quarterly results park, beating its guidance and upping its full year expectation. Revenues in its second fy2026 quarter, ended August 3, increased 13 percent year-on-year to $861 million with GAAP net income of $47 million, up 31 percent Y/Y. Product sales amounted to $446.3 million, up […]| Blocks and Files
Every developer remembers their first docker run hello-world. The mix of excitement and wonder as that simple command pulls an image, creates a container, and displays a friendly message. But what if AI could make that experience even better? As a technical writer on Docker’s Docs team, I spend my days thinking about developer experience....| Docker
NetApp eked out one percent growth in its first fy2026 quarter but it won the number one all-flash array market share position for calendar Q1 2025. Revenues in the quarter ended on July 25, 2025 were $1.56 billion, with a GAAP profit of $233 million, down 6 percent Y/Y. The revenue was above the mid-point […]| Blocks and Files
AI Factory empowers developers to build reliable, sovereign AI platforms In an increasingly uncertain global economy, the race is on for AI innovation. But many enterprises still lack the tools to execute: Gartner estimates that by 2027, 60 percent of organizations will fail to realize the value of AI use cases due to data governance […]| Blocks and Files
Nutanix beat its revenue guidance with an 18 percent year-on-year jump to $653.3 million revenues for its final fy2025 quarter. GAAP net income rose enormously, turning the year-ago $126.1 million loss into a $38.7 million profit. Full fy2025 year revenues of $2.54 billion were also up 18 percent Y/Y and full year profits of $188.4 […]| Blocks and Files
New Zealand startup Novodisq demonstrated ultra high-capacity SSD storage at the FMS 2025 summit, showing an 11.5 PB 2RU blade server.| Blocks and Files
Master full stack AI engineering with this comprehensive guide covering AI data infrastructure, MLOps, distributed training, and generative AI frameworks.| MinIO Blog
Complete MLOps architecture guide covering 10 essential features, data infrastructure requirements, and storage solutions for production AI systems.| MinIO Blog
Complete AI ML architecture guide for building modern datalakes. Learn components, design patterns, and best practices for discriminative and generative AI.| MinIO Blog
SK hynix says it’s going to produce ultra-high-capacity, high-performance SSDs for AI servers by using its 321-layer 3D NAND in QLC format. SK hynix is beginning mass production of a 321-layer, QLC 2 Tb die, the world’s first implementation of more than 300 layers using QLC technology, with product shipping in the first half of […]| Blocks and Files
As you may know from past articles, we’re in the process of a major documentation overhaul. I wanted to share a focused task we’ve been working on over the past couple of days. This effort highlights our practical, responsible approach to an “AI-First” strategy, where AI is a powerful tool guided by human expertise, not […] The post Shipping Better Docs with AI: Restructuring Module Parameters for Clarity and Consistency appeared first on rsyslog.| rsyslog
Online learning systems, which provide flexible schedules, practical projects, and internationally recognised certificates that help advance professions without requiring a formal degree, have completely changed the way we learn these skills. This blog helps you choose the best AI/ML online courses for your objectives by listing the top ten. In 2025, AI/ML professionals are among […] The post Top 10 AI/ML Online Courses to learn in 2025 appeared first on Cloud Training Program.| Cloud Training Program
Machine Learning isn’t just a tech buzzword anymore—it’s the quiet powerhouse running behind the scenes of your favorite apps, financial tools, healthcare systems, and even marketing campaigns. Simply put, it’s a branch of AI that teaches computers to learn from data and get better over time—without someone having to spell out every instruction. By 2025, […] The post Top 10 Machine learning Platforms to Transform Your Business in 2025 appeared first on Cloud Training Program.| Cloud Training Program
Landing a machine learning job can feel like a daunting challenge, right? Whether you’re a seasoned data scientist or just starting out, acing that interview requires more than just theoretical knowledge. It’s about being prepared for the toughest questions that will test your problem-solving skills, technical expertise, and understanding of machine learning concepts. But don’t […] The post Top 20 Machine Learning Interview Questions You Must Know in 2025 appeared first on Cloud Train...| Cloud Training Program
Adeptia that automates the handling of data exchanged between businesses using, for example, Electronic Data Interchange (EDI) methods.| Blocks and Files
Distributed, NoSQL database supplier Aerospike introduced new expression indexes to speed up machine learning, generative AI, and agentic AI workloads while reducing memory use and operational costs. It says most NoSQL databases scan every record for a query, even if most are irrelevant. Aerospike’s approach pushes conditional logic into the index itself, so only relevant […]| Blocks and Files
Discover the different types of Ollama models available for local AI deployment. Learn about Llama, Mistral, Code Llama, and other model families with practical implementation tips.| Collabnix
Running large language models locally has become essential for developers, enterprises, and AI enthusiasts who prioritize privacy, cost control, and offline capabilities. Ollama has emerged as the leading platform for local LLM deployment, but with over 100+ models available, choosing the right one can be overwhelming. This comprehensive guide covers everything you need to know […]| Collabnix
Discover the top Ollama models for function calling in 2025. Compare performance, features, and implementation guides for Llama 3.1, Mistral, CodeLlama, and more.| Collabnix
We’ve reached a tipping point. AI isn’t just enhancing marketing; it’s starting to run it. Today’s most innovative teams aren’t spending late nights building drip sequences or debating subject lines. Instead, they’re deploying AI agents, digital workers that can write, test, optimize, and even pivot campaigns in real time. And they’re doing it better than […]| Collabnix
Understanding the architecture, capabilities, and future of large language models that are reshaping our digital landscape| Collabnix
Introduction: What is Hugging Face and Why It’s Revolutionizing AI Hugging Face has emerged as the definitive platform for machine learning and artificial intelligence development, often dubbed “the GitHub of machine learning.” If you’re working with AI in 2025, understanding Hugging Face isn’t just beneficial—it’s essential. This comprehensive guide will walk you through everything you […]| Collabnix
Discover the Best Open Source LLMs for 2025 Open-source Large Language Models (LLMs) have revolutionized AI accessibility in 2025, offering powerful alternatives to expensive proprietary models. This guide reviews the 10 best open-source LLMs available today, helping you choose the perfect model for your needs. What Are Open-Source LLMs? Open-source LLMs are freely available language […]| Collabnix
Learn how to install, configure, and deploy OpenAI's GPT OSS models (20B & 120B parameters) with this comprehensive step-by-step tutorial covering local inference, API access, and optimization techniques.| Collabnix
The Claude API from Anthropic has become one of the most powerful and reliable AI APIs available to developers in 2025. With Claude Sonnet 4 and Claude Opus 4 now available, integrating Claude’s advanced conversational AI capabilities into your applications has never been more accessible. This comprehensive guide covers everything from basic setup to advanced […]| Collabnix
Discover essential best practices for Claude AI development in 2025. Enhance your command line skills and optimize your AI projects with expert insights.| Collabnix
We present AMD Hummingbird, offering a two-stage distillation framework for efficient, high-quality text-to-video generation using compact models.| ROCm Blogs
1. Introduction I gave a talk on March 8 at an AI, Systems, and Society Conference at the Emory Center for Ethics. The organizer, Alex Tolbert (who had been a student at Virginia Tech), suggested I speak about controversies in statistics, especially P-hacking in statistical significance testing. A question that arises led to my title: […]| Error Statistics Philosophy
By setting a clear, stable standard, the RVA23 profile’s ratification is spurring top vendors to align on a common RISC-V hardware goal. All we need now is that hardware. By...| RISC-V International
OpenAI’s move this week to release two new open-weight AI models (gpt-oss-120b and gpt-oss-20b) just changed Enterprise Data Infrastructure forever. The news has rightfully made ripples across the tech ecosystem. Why? Because these models are released under the Apache 2.0 license, users can for the first time| MinIO Blog
TL;DR:The rsyslog project is embracing AI First (Human-Controlled) — AI is becoming an integral partner across development, documentation, user education, technical support, deployment guidance, and future observability tools. This does not mean “vibe coding” or letting AI run unsupervised. Instead, AI accelerates routine work, drafts ideas, and provides insights, while Rainer Gerhards — with decades […] The post Clarifying “AI First” – What It Really Means for rsyslog appeare...| rsyslog
Hi there. My name is Aaron Gustafson and I work on the web.| www.aaron-gustafson.com
Master MCP security with our 2025 guide. Learn authentication, encryption, monitoring & compliance best practices to protect your Model Context Protocol deployments| Collabnix
Introduction: What is Perplexity AI? Perplexity AI has emerged as a revolutionary AI-powered search engine that’s changing how we find and consume information online. Unlike traditional search engines that return lists of links, Perplexity provides direct, cited answers to your questions using advanced language models. But is it worth the hype? Let’s dive deep into […]| Collabnix
Streamline your coding workflow with Claude's intelligent command-line assistant that handles complex programming tasks directly from your terminal.| Collabnix
Complete guide to deploying Ollama on Kubernetes with Anthropic MCP integration. Learn production best practices, security, scaling, and monitoring for enterprise LLM workloads.| Collabnix
The AI landscape in 2025 has reached unprecedented maturity, with powerful models becoming essential tools for modern software development. Whether you’re building the next generation of applications, automating complex workflows, or enhancing user experiences, choosing the right AI model can make or break your project. This comprehensive guide examines the top 10 AI models that […]| Collabnix
What is MCP Inspector? Your Gateway to Seamless MCP Development MCP Inspector is a powerful development and debugging tool that comes built-in with the Model Context Protocol (MCP) SDK. As part of the MCP ecosystem, this inspector tool provides developers with real-time insights into their MCP server implementations, making it easier to build, test, and […]| Collabnix
Learn how to build production-ready MCP servers with OAuth 2.1 security, Kubernetes scaling, and enterprise-grade observability. Complete guide with code examples and best practices.| Collabnix
Kubernetes has become the backbone of modern container orchestration, powering everything from microservices architectures to enterprise-scale applications. However, managing agents across distributed Kubernetes clusters remains a complex challenge that many DevOps teams struggle with daily. Enter Kagents – a revolutionary approach to Kubernetes agent management that’s transforming how organizations deploy, monitor, and maintain their containerized […]| Collabnix
Learn how to install and optimize DeepSeek-R1 with Ollama in 2025. Complete technical guide covering GPU setup, memory optimization, benchmarking, and production deployment strategies.| Collabnix
One of the best ways for data and AI professionals working in the cloud to keep pace with rapid developments in the field is to talk with peers and hear industry experts talk. The best way to do that is to attend some of these conferences.| CDInsights
Semantic intelligence and governed data models that organize data in a central and structured way are essential.| CDInsights
A look into how Airbnb uses speech recognition, intent detection, and language models to understand users and assist agents more effectively.| Airbnb Engineering & Data Science
How Airbnb migrated nearly 3.5K Enzyme test files to React Testing Library in just 6 weeks using automation and LLMs| Airbnb Engineering & Data Science
Our journey in applying embedding-based retrieval techniques to build an accurate and scalable candidate retrieval system for Airbnb Homes search| Airbnb Engineering & Data Science
A deep dive on the framework that lets us identify the most valuable listings for our guests.| Airbnb Engineering & Data Science
Written by: By: Mihajlo Grbovic, Ying Xiao, Pratiksha Kadam, Aaron Yin, Pei Xiong, Dillon Davis, Aditya Mukherji, Kedar Bellare, Haowei Zhang, Shukun Yang, Chen Qian, Sebastien Dubois, Nate Ney, James Furnary, Mark Giangreco, Nate Rosenthal, Cole Baker, Bill Ulammandakh, Sid Reddy, Egor Pakhomov| airbnb.tech
Cloud infrastructure for AI isn't just about compute; it's also about optimizing data storage and retrieval. Learn how Backblaze B2 and B2 Overdrive can reduce costs and increase performance throughout the five key stages of your AI data pipeline.| Backblaze Blog | Cloud Storage & Cloud Backup
Learn how to create AI-enhanced mock APIs for testing with Docker Model Runner and Microcks. Generate dynamic, realistic test data locally for faster dev cycles.| Docker
MinIO, the leader in high-performance AI storage, has once again raised the bar in the AI infrastructure industry with its groundbreaking MinIO AIStor platform. Leveraging next-generation AMD hardware, KIOXIA NVMe™ SSDs, and cutting-edge software optimizations, MinIO AIStor delivers unmatched performance, scalability, and efficiency for AI-driven and other data intensive| MinIO Blog
TL;DR: We are rolling out a major documentation overhaul for rsyslog, powered by an AI-first strategy. This is the next step after our 2024 announcement on documentation and AI. At that time, AI tools were not yet ready for large-scale improvements, but with recent advances, we’ve accelerated our work. The result: a much more accessible, […] The post Rsyslog Documentation Enters a New Era with AI-First Strategy appeared first on rsyslog.| rsyslog
After 24 months of focused evaluation and careful experimentation, we’re excited to announce a major shift in the evolution of rsyslog: we’re going AI First. This marks the beginning of a strategic transformation in how we design, develop, and support rsyslog and its ecosystem. While today’s post is just a short announcement, it lays the […] The post rsyslog Goes AI First — A New Chapter Begins appeared first on rsyslog.| rsyslog
Running large language models locally has become essential for developers who need privacy, cost control, and offline capabilities. Ollama has emerged as the leading platform for running LLMs locally, but choosing the right model can make or break your development workflow. This comprehensive guide covers the best Ollama models for developers in 2025, with practical […]| Collabnix
In this episode, Trevor Noah and Brad Smith talk about a lot of things, but I think the most prescient is their discussion of information bubbles and organizing around labels. Trevor astutely observes how the source of information often colors how we receive that information and whether we consider it or reject it out of hand. In today’s media ecosystem, the system of “in groups” and “out groups” creates deep division and makes us more susceptible to misinformation.| Aaron Gustafson: Latest Posts & Links
The convergence of cloud and AI is redefining what's possible in CX. We are moving from transactional interactions to relational experiences, where every touchpoint is an opportunity to build trust, loyalty, and lasting relationships.| CDInsights
Updated: AWS has previewed a new bucket type for S3 (simple storage service), designed for AI workloads, and […]| DEVCLASS
Getting Started with Claude AI Coding Assistant Imagine having an AI pair programmer that understands your entire codebase, can edit files directly, run terminal commands, and handle complex workflows—all through natural language commands. That’s exactly what Claude Code brings to your development workflow. Released by Anthropic as an agentic coding tool, Claude Code represents a fundamental shift […]| Collabnix
Exploring the Hugging Face Small Language Model When most people think about powerful AI models, they picture massive neural networks with billions of parameters running on expensive cloud infrastructure. But what if I told you that Hugging Face just released a game-changing model family that delivers impressive performance while running comfortably on your smartphone? Meet SmolLM2 – […]| Collabnix
Ever tried running a GPU-intensive workload on your laptop and watched it struggle like it’s trying to run a marathon in flip-flops? I know I have. You start with excitement about that cool AI model or data processing pipeline, but then reality hits. Your local machine either doesn’t have a GPU, or if it does, […]| Collabnix
Master DeepSeek R1's advanced reasoning architecture. Complete technical guide with MoE implementation, GRPO algorithms, and production deployment code examples.| Collabnix
See why object storage, with its scalability, flexibility, and cost-effectiveness, is uniquely suited to AI at every stage of the model lifecycle. Learn how Backblaze B2 Cloud Storage offers unique advantages for AI teams looking to innovate quickly, easily, and cost-effectively.| Backblaze Blog | Cloud Storage & Cloud Backup
Define, run, and scale AI agents using Docker Compose and Docker Offload. Streamline agentic development across your stack.| Docker
Simplify app containerization and optimization using Docker’s AI agent, Gordon. Explore step-by-step how Gordon helps developers work smarter.| Docker
vLLM v1 on AMD ROCm boosts LLM serving with faster TTFT, higher throughput, and optimized multimodal support—ready out of the box.| ROCm Blogs
Want to run powerful AI models locally without cloud dependencies? DeepSeek R1 with Ollama offers a game-changing solution that rivals OpenAI’s ChatGPT while maintaining complete privacy and control. This comprehensive guide shows you exactly how to install, configure, and optimize DeepSeek R1 using Ollama on your local machine. What is DeepSeek R1? DeepSeek R1 is a […]| Collabnix
Agentic AI represents the next evolution in artificial intelligence, where autonomous agents can reason, plan, and execute complex tasks independently. Deploying these sophisticated AI systems at scale requires robust orchestration platforms, and Kubernetes has emerged as the de facto standard for managing containerized Agentic AI workloads. This comprehensive technical guide explores advanced deployment patterns, optimization […]| Collabnix
Google’s Gemma AI models represent a significant breakthrough in open-source large language model development, offering developers and researchers unprecedented access to state-of-the-art natural language processing capabilities. This comprehensive technical guide explores Gemma’s architecture, performance benchmarks, implementation strategies, and practical applications in modern AI systems. What Are Google Gemma AI Models? Google Gemma is a family […]| Collabnix
That model is no longer good enough. The modern marketer works in a world where attention spans are short, algorithms determine what is relevant, and customers have more influence.| MarTech Series
Simplify GPU acceleration in containers with the AMD Container Toolkit—streamlined setup, runtime hooks, and full ROCm integration.| ROCm Blogs
NetApp has recruited Zscaler CTO Syam Nair to be its new chief product officer, replacing the departing Harvinder Bhela.| Blocks and Files