DeepSeek-V3.2-Exp: Faster, More Efficient LLM Training and Inference

Optimize HPC for Modern AI Workloads ⚡ When every second counts in AI and ML, your infrastructure has to deliver peak performance. The Sycomp Intelligent Data Storage Platform, deployed on Google Cloud A3 Ultra VMs, proves what’s possible: • 1.2 TB/s throughput achieved for an industry-leading AI company • 97% GPU utilization on Google Cloud • 28.5 GiB/s MLPerf® throughput on a single A3 Ultra system With Sycomp, R&D and AI teams gain high-performance storage that scales seamlessly, accelerating innovation without compromise. Learn more: https://hubs.la/Q03MFS3F0 #AI #ML #HPC #GoogleCloud #MLPerf #HighPerformanceComputing #DataStorage #InnovationAccelerated #IBMAmplify #IBMPartners #IBM #Sycomp #GlobalAdvantage #GlobalIT #ITintegrator #TechnologyMeansTheWorld

Is the GPU memory wall crushing your LLM deployment budget? Quantization is no longer just research; it's a production necessity. At QuantizedAI, we've fine-tuned our proprietary process to shrink models by up to 75% while maintaining 99% of original accuracy. Stop overpaying for inference. Start scaling efficiently. The Result: 2x faster inference. 50% lower cloud costs. Edge-ready models. Learn how our latest INT8 and INT4 techniques can transform your deployment pipeline. https://lnkd.in/eRV8yKEy #AIQuantization #LLMOptimization #MLOps #CostEfficiency #GenerativeAI

Hyphastructure is the first edge cloud company purpose-built for AI inference. Through a distributed network of AI nodes and an advanced software stack, Hyphastructure delivers ultra-low-latency, high-performance inference for real-time applications across industries.

🚀 Excited to see the next evolution of OpenNebula MCP Server in action! AI is redefining cloud management — and this new AI-powered co-pilot from OpenNebula is a great example of how natural-language control, automation, and intelligent data access can transform daily operations and boost productivity. If you’re working in cloud infrastructure, operations, or AI platforms, this session is absolutely worth your time. 👉 Register here: https://hubs.ly/Q03HKkk70 #OpenNebula #MCP #AI #CloudOperations #CloudManagement #Automation #AIFactories

𝐂𝐥𝐨𝐮𝐝 𝐀𝐈 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝟏𝟎𝟏: 𝐁𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐒𝐜𝐚𝐥𝐚𝐛𝐥𝐞 𝐚𝐧𝐝 𝐒𝐞𝐜𝐮𝐫𝐞 𝐀𝐈 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 AI is not just a side project anymore. Companies are trying to make it work across their whole business. Small experiments are not enough. The real challenge is building systems that can handle lots of work, scale up fast, and stay reliable. Read Complete Article: https://lnkd.in/d7xubQhf #AIlifecycle #AITech365 #Cloud #CloudAIInfrastructure #ComputeLayer #HardwareSpecialization #IaC #MLOps #StorageBackbone

The real cost of AI isn’t the model, it’s the deployment. Running an LLM locally or on cloud GPUs is easy. Running it securely, reliably, and at scale is where the challenge begins. You need: - Optimized pipelines for faster inference - Guardrails to prevent bad outputs - Monitoring for drift and cost control - Integration with your existing stack AI that’s not production-ready won’t bring ROI. It’ll just bring bills.

Unpopular opinion: Most AI teams overpay for cloud GPUs 👉 Cloud GPU at $3/hour = $2,160/month = $25,920/year 🧐 Need 4 GPUs? That's $8,640/month or $103,680/year A local AI setup pays for itself in 6-12 months. Then you own it. Stop defaulting to cloud. Run the numbers! What's your setup costing you? #AI #MLOps #edgeAI #AIsetup

🌟 New Blog Just Published! 🌟 📌 IBM Cloud Code Engine: Serverless GPU Fleets for AI Acceleration 🚀 ✍️ Author: Hiren Dave 📖 Serverless computing has reshaped how developers think about infrastructure, yet traditional high-performance computing (HPC) still grapples with rigid provisioning, costly GPU clusters, and manual...... 🕒 Published: 2025-10-18 📂 Category: Cloud 🔗 Read more: https://lnkd.in/d9h2yCGE 🚀✨ #ibmcloud #gpuserverless #aiacceleration

Neoclouds aren’t replacing traditional cloud - they’re filling a gap for AI. More available GPUs, simpler (often lower) pricing, and better alignment to AI cluster sizing. This fantastic blog by David Tairych and Aaron Delp lays out when to use neoclouds vs hyperscalers vs private infrastructure, plus how to connect them with private low-latency interconnection. Good playbook material: https://eqix.it/4qrfgqj

IBM and AMD have partnered with Zyphra to deliver advanced AI training infrastructure on IBM Cloud. The deal will provide Zyphra with a large-scale cluster of AMD Instinct MI300X GPUs to train multimodal foundation models for its superagent Maia. Read more: https://lnkd.in/gGNUyM8c #DQChannels #IBM #AMD #AI #cloud #frontier