Meta and Oracle Select NVIDIA Spectrum-X for Next-Gen AI Data Centers
Meta and Oracle have announced their adoption of NVIDIA’s Spectrum-X Ethernet networking switches for their AI data centres. This move aims to enhance the efficiency of their AI training processes and accelerate the deployment of large-scale AI systems.
Jensen Huang, the CEO of NVIDIA, highlighted how trillion-parameter models are transforming data centres into large-scale AI factories. He described Spectrum-X as the vital connection point for millions of GPUs, facilitating the training of expansive AI models.
Oracle is integrating Spectrum-X Ethernet with its Vera Rubin architecture, enabling the connection of millions of GPUs for more efficient training and deployment of AI models. Similarly, Meta is incorporating Spectrum-X into its Facebook Open Switching System (FBOSS) to support larger AI models while catering to billions of users.
In terms of flexibility, NVIDIA’s modular MGX system allows partners to combine various computing components according to their requirements. This setup promotes interoperability, ensuring organizations can utilize a consistent design across different hardware generations, significantly boosting performance and efficiency.
As data centre demands grow, addressing power efficiency has become crucial. NVIDIA is exploring innovative power delivery methods, including 800-volt DC power systems, which minimize heat loss and improve overall operational efficiency.
Moreover, the MGX system can effectively scale data centres by hosting both compute and switching components, supporting both scale-up and scale-out connectivity. This capability enables companies like Meta to unify separate AI data centres into a cohesive system, essential for extensive distributed AI training operations.
NVIDIA aims to provide efficient and accessible AI infrastructure through Spectrum-X, specifically designed for AI workloads. With features that optimize bandwidth usage, the platform can outperform traditional Ethernet technologies significantly.
Looking towards the future, NVIDIA’s Vera Rubin architecture is set to launch commercially in mid-2026, further enhancing the capabilities of Spectrum-X and MGX systems to support the next generation of AI advancements.
To ensure the systems’ performance aligns with scaling needs, NVIDIA collaborates with partners across the power delivery spectrum, ensuring a seamless operation in high-density AI environments, which is crucial for organizations like Meta and Oracle.
In conclusion, NVIDIA’s Spectrum-X is tailored to meet the unique demands of AI-driven applications, providing the necessary performance and infrastructure to support rapid advancements in AI technology.
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