Adapting corporate IT infrastructure to support cutting-edge research and development

NVIDIA vGPU fundamentally transforms enterprise GPU resource allocation and utilisation by enabling multiple virtual machines (VMs) to share one physical GPU or assigning multiple vGPUs to a single VM. This software operates between the hypervisor and the physical GPU, securely allocating resources like memory, compute cores, and drivers to each VM, ensuring near-native performance. This approach shifts from traditional dedicated GPU usage, which often led to under utilisation, to a flexible, shared model. It allows organisations to maximise GPU utilisation, significantly reducing idle capacity and hardware costs. Deployment options, including shared vGPU, GPU pass-through, and multi-vGPU, offer dynamic scaling for workloads such as AI, HPC, and virtual desktops, enhancing efficiency and simplifying IT management.

The Nvidia H200 is a powerful AI component, but its effective deployment for enterprise AI, particularly Large Language Models (LLMs), requires a deep understanding of its architecture and a focus on infrastructure fit, not just raw performance metrics. Key components like HBM3e memory (141 GB), FP8 Tensor Cores, and NVLink 4 (900 GB/s) are crucial for handling large context windows, efficient fine-tuning, and distributed training. Beyond the chip, NVSwitch, ConnectX-7, and PCIe Gen5 are vital for reliable throughput across enterprise-scale setups. The H200 is ideal for in-house LLM development, multi-turn conversations, and high-efficiency fine-tuning where data residency is critical. Uvation's approach ensures H200 deployments are aligned with specific use cases, offering pre-validated GenAI blueprints and GPU-aware orchestration to maximise value and overcome common deployment challenges. Ultimately, the H200 is the best tool when its specific capabilities match the model's requirements

The Mellanox Spectrum-2 MSN3700 is NVIDIA’s 32-port 200GbE spine switch designed for high-performance AI, cloud, and telecom data centers. Built on the Spectrum-2 ASIC, it delivers 6.4 Tbps switching capacity and processes over 8.33 billion packets per second—all within a 1U form factor. Its open networking architecture supports Cumulus Linux, SONiC, and native Linux, giving IT teams unmatched flexibility while avoiding vendor lock-in. Features like “What Just Happened” (WJH) telemetry and digital twin simulation via NVIDIA Air simplify troubleshooting and accelerate deployment. The MSN3700 integrates seamlessly with ConnectX SmartNICs, BlueField DPUs, and NetQ orchestration to power everything from AI training clusters to 5G RANs. For telecom-grade needs, the SN3750-SX variant adds PTP, SyncE, and secure boot. This switch isn’t just fast—it’s adaptable, secure, and future-ready, making it a strategic backbone choice for next-gen data infrastructure.

At Computex 2025, NVIDIA, led by CEO Jensen Huang, unveiled a bold vision transcending chip-making to orchestrate the AI economy. NVLink Fusion integrates third-party CPUs and accelerators with NVIDIA’s GPUs, ensuring ecosystem centrality despite competition from custom silicon. AI Factory Blueprints and DGX Cloud Lepton simplify scalable AI infrastructure, enabling enterprises to deploy without hyperscaler expertise. Hardware updates include the GB300 platform, RTX Pro AI Server for cost-efficient inference, and DGX Spark for edge AI. NVIDIA’s Taiwan strategy, including a supercomputer with TSMC and a new R&D office, strengthens supply chain resilience amid geopolitical tensions. The push into robotics via the Isaac platform targets physical AI, streamlining robot training and deployment. The NVIDIA H200 remains pivotal, offering cost-effective performance for AI factories and edge inference, reinforced by ecosystem synergy. NVIDIA’s strategy ensures it remains the backbone of AI’s future, from data centers to robotics.

The Mellanox Spectrum SN2100 is a compact, half-width 1U switch delivering 100GbE performance in a space-saving and power-efficient design. Ideal for data centers and edge deployments, it offers 16 QSFP28 ports, flexible breakout options, and up to 3.2 Tbps switching capacity—all while drawing less than 100W. Powered by NVIDIA’s Spectrum ASIC, the SN2100 supports cut-through switching for ultra-low latency and handles advanced features like VXLAN, Layer 3 routing, and telemetry. With modular OS support (Onyx, Cumulus Linux, ONIE), it fits seamlessly into both traditional and software-defined networks. Its short-depth chassis, hot-swappable PSUs, and airflow options make it perfect for edge, colocation, or dense AI/HPC environments. Whether deployed in a leaf/spine architecture or a top-of-rack configuration, the SN2100 excels in performance, scalability, and operational efficiency. For enterprises building modern AI-ready networks, this switch is a versatile, future-ready investment.

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