The next generation of AI applications will be shaped by strong collaboration, open ecosystems, and infrastructure built to scale. Exciting to see AMD and Microsoft expand their collaboration across the Azure infrastructure stack, with AMD Helios bringing together AMD Instinct MI455X GPUs, 6th Gen AMD EPYC “Venice” CPUs, AMD Pensando networking, and ROCm software in an open, integrated rack-scale platform for large-scale AI training and inference. This is a meaningful step toward giving customers more performance, flexibility, and choice as they build and scale frontier AI workloads in the cloud. Read more about the expanded collaboration here: [https://bit.ly/4f9QJSW #AdvancingAI #AIInfrastructure #CloudComputing #AMD #Microsoft #Azure #OpenEcosystem #AMDBrandAmbassador

Excited to see the continued partnership between AMD and Microsoft as we work together to bring the next generation of AI infrastructure to customers. What stands out to me is the focus on openness, choice, and innovation across the full stack - from AMD Helios and Instinct GPUs to EPYC CPUs, Pensando networking, and Azure AI services. Together, we're helping build the infrastructure needed to power increasingly complex AI workloads at cloud scale. Looking forward to seeing how this expanded collaboration enables customers to build and scale the next wave of AI applications. Read More: https://bit.ly/4pxLnnV and learn more about the expanded AMD and Microsoft partnership. #AMD #Microsoft #Azure #AI #ArtificialIntelligence #AdvancingAI #AMDBrandAmbassador

AMD and Microsoft are expanding their collaboration to advance AI infrastructure at cloud scale. Microsoft will deploy AMD Helios, combining AMD Instinct™ GPUs, AMD EPYC™ CPUs, AMD Pensando™ networking and ROCm™ open software to power large-scale AI workloads. The partnership will also expand AMD technologies across Azure. Here's where you can read more on the news ahead of AMD Advancing AI: https://bit.ly/4bV5dnt #AdvancingAI #AMD #Microsoft #Azure #AIInfrastructure #AMDBrandAmbassador

# 10X cost reduction at enterprise scale. That is the NVIDIA + WisdomTwin math. Apple Silicon and NVIDIA DGX-class deployments now run enterprise inference locally at speeds that rival cloud — without egress. WisdomTwin is architected for owned hardware, not rented GPUs. ## Why it matters The best AI infrastructure is the one you control. Cloud inference is OpEx forever; local inference is an asset on your balance sheet. ## 10X angle Why rent your brain when you can buy the factory? ## Playbook - Size hardware for your top 3 agent workloads. - Benchmark latency and cost vs. cloud API baseline. - Plan rack/edge deployment with IT and facilities. - Tie CapEx to 3-year TCO model vs. API spend. **Hardware sovereignty is the foundation of data sovereignty.** Full briefing: https://lnkd.in/e9KhXua6 #WisdomTwin #EnterpriseAI #SovereignData #DigitalTwin #10XAI https://lnkd.in/eJSKmHR9 Raising $1M USD pre-seed to deploy WisdomTwin.ai with the first 10 enterprise customers. The category is employee Digital Twins — not chatbot seats.

Thrilled to share that Microsoft and AMD are expanding our strategic partnership to power the next generation of Azure AI infrastructure. The announcement today introduces new Azure platforms optimized for AI data processing, HPC/EDA workloads, and large-scale inference, highlighting a major industry shift toward purpose-built AI infrastructure. Success in AI will increasingly depend on how well CPUs, GPUs, networking, software, and cloud services are integrated into a cohesive platform that provides performance, efficiency, and choice at scale and this is exactly the promise that the AMD Helios rack-scale solution delivers. Excited to continue to work with our partners at Microsoft to push the boundaries of what's possible for enterprise AI. https://lnkd.in/gcx9MH_x #togetherWeAdvance_ #AIatAMD #AI #Azure #AMD #HPC #Cloud #AgenticAI #Innovation

Vultr is among the first cloud providers to offer AMD Instinct MI455X GPUs with AMD Helios rackscale solution, now taking pre-orders for Q4. "Customers are rapidly moving from AI experimentation into production, and increasingly that means agentic and inference-heavy workloads that require infrastructure built for scale." – J.J. Kardwell, CEO, Vultr. Read the full news: https://lnkd.in/gDwfNk82 #InstinctMI455X #Helios #AI #GPU #TechIntelPro

📣 Claude models are now generally available in Microsoft Foundry, running on the NVIDIA GB300 NVL72 platform on Microsoft Azure with #NVIDIA Quantum-X800 #InfiniBand networking. For enterprises building the next generation of #agenticAI, this means more powerful autonomous and domain-specific agents, backed by the inference performance and lowest cost per token. #DataCenter

"Microsoft has announced it will deploy AMD’s Helios rackscale solution to power model inference both internally and for its AI customers, with the hardware also set to support the company’s Azure AI services." - DCD

AI infrastructure is moving beyond "more GPUs." Scott Guthrie shared how Microsoft is expanding Azure AI and HPC infrastructure with AMD, including Helios for production-scale inference, HDv2 VMs for AI data systems, and HXv2 VMs for chip design and technical computing. What stands out to me is the workload-specific strategy. Agentic AI needs more than accelerators. It needs CPUs for data prep, memory for complex workloads, fast networking, storage, and specialized infrastructure for the chips that power the next generation of AI. This feels like an important shift: the AI cloud is becoming more heterogeneous by design. Source: https://lnkd.in/eW7pp-3h

In many regions, power availability is becoming the real bottleneck - not demand. Hardware video encoding offers a way to scale video services efficiently while managing energy and cloud costs. Worth a read: 👉 https://netint.biz/4jPtKxb #DataCenters #HardwareVideoEncoding #Efficiency