What’s new in cloud and AI infrastructure – Azure at Microsoft Ignite

The foundation of Microsoft’s AI advancements is built on a robust, custom-designed infrastructure that powers some of the world’s most demanding and widely used services. For over a decade, we have been diligently evolving our systems, from software to silicon, ensuring that our infrastructure is optimized end-to-end. This relentless focus on innovation has allowed Microsoft to stay at the forefront of the generative AI revolution, empowering businesses to reimagine operations and industries alike.

Optimizing Stars Management’s multi-site ecosystem for efficient talent management, seamless client interactions, and a unified operational workflow.

As we continue this journey, we’re bringing more choice and flexibility to organizations of all sizes—whether agile startups or multinational corporations. Microsoft’s infrastructure enables businesses to scale AI adoption with the perfect balance of performance, power, and cost-efficiency. At Microsoft Ignite, we introduced cutting-edge updates across our cloud and AI infrastructure, from next-gen chips and liquid cooling technologies to new data integrations and flexible cloud deployments. These advancements ensure that our customers have the tools they need to drive innovation and thrive in a rapidly evolving digital landscape.

With Microsoft’s AI infrastructure, the possibilities for transformation are limitless. We’re not just preparing businesses for today’s challenges, but for the future of AI-powered growth and success.

Problem Statement & Challenges

  • Difficulty in managing content across six websites with different talent categories.
  • Maintaining a cohesive brand identity across multiple platforms.
  • Challenges in ensuring consistent website performance and security.
  • Need for real-time updates and changes across all websites.
  • Limited automation in booking and client interaction processes.
  • High dependency on manual workflows, leading to inefficiencies.
  • Scalability issues as talent categories expand or shift.

Unveiling the latest silicon updates across Azure infrastructure

At Microsoft, we continue to push the boundaries of innovation, combining the best of industry advancements with our unique approach to building next-generation infrastructure. Our ongoing commitment to optimizing every layer of our system ensures that we are equipped to handle the most demanding workloads, particularly in the realm of AI.

One of our key innovations is the Azure Integrated HSM (Hardware Security Module), which strengthens security by keeping encryption and signing keys within a dedicated hardware environment. This new in-house security chip allows for robust protection without sacrificing performance or introducing latency, and will be deployed in every new server in Microsoft’s data centers starting next year, enhancing security across Azure’s hardware fleet.

Additionally, we are introducing the Azure Boost DPU (Data Processing Unit), designed specifically for data-centric workloads. This custom silicon is built for high efficiency, low power consumption, and superior performance—expected to run cloud storage workloads with three times less power and four times the performance of traditional servers.

Customization and Configuration

As part of our holistic approach to infrastructure, we are also advancing our cooling technologies. Our next-generation liquid cooling “sidekick” rack will support AI systems, including those from leading industry players like NVIDIA. These innovations ensure that we can scale AI workloads efficiently while maintaining low energy consumption and optimal performance.

  1. Difficulty in managing content across six websites with different talent categories.
  2. Maintaining a cohesive brand identity across multiple platforms.
  3. Challenges in ensuring consistent website performance and security.
  4. Need for real-time updates and changes across all websites.
  5. Limited automation in booking and client interaction processes.
  6. High dependency on manual workflows, leading to inefficiencies.
  7. Scalability issues as talent categories expand or shift.

Microsoft’s custom infrastructure is setting the stage for a future where AI can drive transformative change across industries, all while enhancing efficiency, security, and sustainability. With our continued advancements in hardware and cooling technology, we are paving the way for the next wave of AI innovation.

Data Migration

Data migration, the next vital step, ensures that all your valuable historical data is transferred precisely to Dynamics 365 Business Central. This preserves your business knowledge and historical records. It also facilitates a smooth transition.

Training and Adoption

Training and adoption play a crucial role in ensuring your team is well-prepared. Consultants provide guidance, equipping your workforce with the skills to use the new system efficiently. This minimizes downtime and maximizes efficacy.