10 top companies to work for as a Software Engineer in the UAE 🇦🇪 • Bytedance • FAB • NodeShift (DevOps guys, especially for you) • Revolut • Careem • Noon (React Native stack) • Talabat (Flutter stack) • G42 and its subsidiaries (Presight, Space42, Core42, etc) • Property Finder • HungerStation I find these the best apart from FAANG and Stripe. Many of these are hiring at the moment as well. Check their LinkedIn and try to get a referral from an employee

If you're a Devops engineer, target companies like Nodeshift, G42 and other companies working working under UAE's Soverign AI initiative. Nodeshift even hiring currently IG.

Presight, a UAE-based AI company, has entered into a strategic partnership with NodeShift to expand the adoption of sovereign artificial intelligence solutions across international markets. thestartupscene.me/MenaEcosy…

Today we're proud to announce we've signed a strategic agreement with NodeShift, that includes joint go-to-market collaboration and investment support to expand the adoption of sovereign AI solutions across international markets. #Presight

The “nO OnE iS uSiNg iT” argument against $AKT is the worst one Daily fees hit $13,000 and deployments grew 466% akash.network/blog/akash-202… 60% of its GPUs are being utilized akash.network/blog/akash-202… Starbond program onboarding 7,200 NVIDIA GB200 (Blackwell) GPUs. You don’t buy all these GPUs for an empty room. It’s supply to meet the demand. If no one was using it, NodeShift wouldn’t have integrated Akash GPUs into their dashboard and helped to prove that enterprise AI labs benefit from the cost savings and reliability vs the centralized cloud counterparts. Even taking just 1% of AWS or other centralized cloud compute away would be worth billions of market cap

The Presight-Shorooq (@PresightAI/@ShorooqPartners) Fund I, a US$100 million global AI innovation fund, has invested in five cutting-edge AI startups led by experienced alumni from #DeepMind, GoogleX, @Meta, and @Stanford across the U.S. and #UAE markets — namely, Nodeshift, Candid, Hebbia, Blue and Crunched. Read more HERE: mena.entrepreneur.com/busine…

In our latest article, we’ll show you step by step how to install and run IndexTTS2 locally, whether on your machine or a GPU-accelerated environment with NodeShift, so you can start generating lifelike, controllable speech in minutes. 🔗Read here: nodeshift.cloud/blog/how-to-…

يستعرض ميهير مودي، نائب الرئيس للاستراتيجية في شركة Zypl، وميهاي ماركوتا، المدير التشغيلي والمؤسس المشارك في شركة Nodeshift، لماذا أصبحت أبوظبي الخيار الأمثل لشركات الذكاء الاصطناعي الناشئة، وسط صعود الإمارات كمركز عالمي للذكاء الاصطناعي.

From real estate and inclusive education to AI and FinTech, Hub71 startups are scaling with purpose 🌍​ ​ SmartCrowd’s majority stake was acquired by @nawyegypt to build a regional real estate super-app, @key2enable_UAE launched We Read Labs in New Delhi to advance inclusive education for students with special needs, eFunder was acquired by @ihc__official and rebranded as Zelo to strengthen SME capital access across MENA, and @nodeshiftai was selected from 120 global applicants to join @PresightAI’s AI-Startup Accelerator program.​ ​Our startups doing what they do best, building, scaling, and delivering 🚀​ ​ Learn more: ​ ​ SmartCrowd: shorturl.at/d4edW​ Key2Enable: shorturl.at/RHO3Z​ eFunder: shorturl.at/ZPRI3​ NodeShift: shorturl.at/kuSeY​ #Hub71 #InAbuDhabi #TechEcosystem #StartupSuccess #AI #Fintech #InclusiveTech

Frontier in Medical Language & Vision Models. We’ve just published a detailed hands-on guide on NodeShift: Building an AI-Powered Chest X-ray Analyzer with MedGemma 27B and Gradio.

Google Launches MedGemma 27B: A New Frontier in Medical Language & Vision Models. We’ve just published a detailed hands-on guide on NodeShift: Building an AI-Powered Chest X-ray Analyzer with MedGemma 27B and Gradio. #GoogleAI #medgemma27b #aihealthcare #llms #opensourceai

Today, we're happy to announce that at the VivaTech UAE Pavilion, NodeShift signed a Memorandum of Understanding with Qareeb Data Centres, witnessed by H.E. Abdulla bin Touq Al Marri, UAE Minister of Economy.

Not all AI breakthroughs are loud. Some, like the one happening at NodeShift Nigeria, are quietly rewiring how intelligent systems think, adapt, and collaborate. Read the full Brand Press here zurl.co/gQnA5 - Brand Press

Get Started: - Set up a GPU Node on NodeShift. - Install Ollama and serve your Llama 4 models. - Enable tool calling and start building with real-time dynamic functionalities. Want to dive in? Check out the step-by-step guide and take full control of the future of AI today!

This model is perfect for building on mobile devices or developing low-latency applications. We’ve written a step-by-step guide on how to install and run it in minutes, both locally or on NodeShift cloud. 🔗 Read the guide here: nodeshift.com/blog/get-start…

Imagine a model so small it fits in your pocket (well, almost) — yet powerful enough to look at images and describe them like a mini visual assistant. That’s nanoVLM-222M — a 222M parameter multimodal model powered by: - A tiny language model (SmolLM2) - A Vision Transformer encoder (SigLIP-B) - And just 750 lines of PyTorch magic. The best part? ✅ It runs on a single RTX 3060 or even a T4 ✅ You can deploy it in minutes on a NodeShift GPU VM ✅ And yes — we’ve wrapped it in a Gradio web app for your browser too. In this step-by-step blog, we covered: - Full setup on NodeShift GPU VMs - Python CUDA config - Model install, image input, Gradio integration - And why nanoVLM is the perfect project for devs, tinkerers, and researchers Read it here: nodeshift.com/blog/how-to-in… #nanovlm #AImodel

Here's why LTX-Video by @Lightricks is trending on Hugging Face: - It is the first DiT-based model that generates ultra-realistic 30 FPS videos at 1216×704 resolution... faster than you can watch them! - From text-to-video to image-to-video, LTX creates stunning content in seconds. And guess what, we’ve got a full guide on how to run it locally or with NodeShift cloud for production ready video generation. 🔗 Dive in here: nodeshift.com/blog/generate-…

Meta AI recently released Perception-LM-8B, a powerful multimodal model that understands both images and videos with remarkable depth and clarity. Built entirely on open-access data, it's designed for tasks like video reasoning, visual question answering, and scene interpretation — without any closed components. We just published a step-by-step guide on how to install and run Perception-LM-8B on a GPU-powered VM using NodeShift Cloud — from model access to generating visual insights. ✅ Full setup using Python 3.11, CUDA 12.4, and TorchCodec ✅ Supports both image and video inputs ✅ Works with A100, H100, and even RTX A6000 setups ✅ Includes benchmark results and GPU recommendations 📖 Read the full guide here: nodeshift.com/blog/how-to-in… 💻 Try the model: huggingface.co/facebook/Perc… 📂 GitHub Repo: github.com/facebookresearch/… Whether you're working in AI research, building smart media apps, or exploring vision-language models — this is the one to try next. #metaai #opensource #aimodels

Parakeet-TDT 0.6B V2 by NVIDIA is here to change how we handle speech-to-text. Built on the FastConformer architecture with a TDT decoder, this high-performance model handles long-form English audio — up to 24 minutes — with impressive accuracy. It preserves punctuation, capitalization, and delivers word-level timestamps, making it ideal for transcribing conversations, interviews, meetings, and even noisy recordings. We just dropped a step-by-step guide showing you how to run this model locally or on a GPU Virtual Machine using NodeShift. In this guide, you’ll learn how to: - Deploy a NodeShift GPU VM (we used an A6000) - Set up Python, Conda, and install NVIDIA NeMo Toolkit - Transcribe .wav audio files in a few lines of code - Launch a browser-based transcription interface using Gradio - Access it securely via SSH from your local system Whether you’re building voice interfaces, transcription pipelines, or just exploring powerful STT models — this one’s worth checking out. Read the full guide: nodeshift.com/blog/how-to-in… #NVIDIA #AImodel