High-Performance AI
Networking foundation
Broadcom and Vultr deliver production-ready cloud infrastructure built on high-performance networking silicon, enabling scalable, low-latency Ethernet fabrics for AI, GPU, and data-intensive workloads.
The silicon foundation behind AI-ready cloud networking
High-throughput networking for AI and data workloads
AI and data-intensive workloads require fast, predictable data movement. Broadcom Tomahawk 5 silicon, deployed within HPE Juniper Ethernet switching on Vultr, sustains throughput under heavy load for lossless AI fabrics. Tomahawk 5 advanced load balancing and Broadcom Thor 2 hardware congestion control maintain sustained line-rate performance, helping customers run AI training, inference, and analytics without network bottlenecks.
Predictable performance at cloud scale
Broadcom Tomahawk silicon is engineered for deterministic packet handling and low latency at scale, helping sustain throughput during heavy backend traffic through Virtual Output Queuing (VOQ) scheduling and advanced buffering. Embedded in HPE Juniper switching across Vultr’s global infrastructure, it delivers predictable fabric behavior under load and consistent networking performance across regions, supporting distributed AI workloads with predictable production behavior.
Built for Ethernet-based AI fabrics
AI infrastructure depends on Ethernet fabrics that scale efficiently. Broadcom Tomahawk silicon inside HPE Juniper switches, combined with Broadcom Thor 2 NICs at the server edge, enables lossless RoCEv2 Ethernet GPU fabrics on Vultr with shared buffering and hardware offload to reduce drops and stabilize sustained GPU-to-GPU flows. This delivers more predictable throughput and faster training performance without proprietary interconnects.
Production-ready infrastructure, not experimentation
Customers need infrastructure that performs consistently in real-world production environments. Broadcom silicon deployed on Vultr supports validated, production-ready networking designs that reduce deployment risk and speed time-to-production for AI, HPC, and data-intensive workloads, while silicon-level throughput and low latency help keep GPUs efficiently utilized in distributed AI for faster job completion.
Vultr Industry Partner stack
Broadcom Tomahawk networking silicon forms the foundation of Ethernet GPU fabrics deployed on Vultr, integrated into HPE Juniper switching to deliver scalable, lossless networking for AI and data-intensive workloads. Broadcom Thor 2 NICs complete the end-to-end data path at the GPU node level. Our partnership combines these technologies into a globally available, production-ready cloud platform for AI training, inference, and data-intensive workloads.
How it works
Broadcom Tomahawk networking silicon is embedded within HPE Juniper Ethernet switching platforms deployed across Vultr data center regions. This silicon enables high-throughput, low-latency packet processing, while Broadcom Thor 2 NICs provide RoCE offload and hardware-based congestion control at the server edge. Vultr integrates networking, compute, and storage into a unified cloud platform that customers can deploy globally without managing underlying hardware complexity.
Together with HPE Juniper Networking, Broadcom delivers the networking silicon inside Ethernet GPU fabrics that Vultr deploys and operates at cloud scale.
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Broadcom Tomahawk Silicon
High-bandwidth switching silicon for low-latency, deterministic Ethernet fabrics at cloud scale. Tomahawk 5 adds VOQ scheduling and shared buffers to sustain AI throughput under load.
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Broadcom Thor 2 NICs
400G NICs optimized for AI networking, delivering efficient GPU-to-fabric connectivity. Thor 2 supports RoCE offload and GPU-direct data movement for high-volume transfers.
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Broadcom data center connectivity
End-to-end connectivity technologies for cloud and AI data centers. Broadcom SerDes enables reliable DAC connections for lower cost and higher resiliency.
Enterprise-ready for industry-specific workloads
Reliable, high-performance networking enables secure, scalable cloud platforms across data-intensive and regulated industries.
Resources and insights
AI-Optimized Ethernet Networking for Cloud GPU Workloads
An overview of how production-ready Ethernet networking supports AI workloads, showing how Vultr infrastructure, Broadcom Tomahawk 5 silicon, Thor 2 NICs, HPE Juniper switching, and AMD GPUs combine to deliver predictable data movement, low latency, and scalable GPU communication in the cloud.
