Ethernet Fabric Networking
for AI Workloads
HPE Juniper Networking and Vultr deliver AI-ready Ethernet networking, enabling predictable, lossless performance for GPU, AI, and high-performance cloud workloads at global scale.
Networking designed for AI-driven cloud infrastructure
Purpose-built Ethernet fabrics scale AI, GPU, and data-intensive workloads across Vultr’s global cloud regions.
Lossless networking for GPU and AI workloads
AI workloads demand predictable, low-latency networking. HPE Juniper Ethernet fabrics on Vultr support lossless RoCEv2 specifically for GPU fabrics, using advanced congestion control to enable efficient GPU-to-GPU communication, faster training cycles, and consistent inference performance.
Scalable Ethernet fabric without proprietary lock-in
Vultr and HPE Juniper Networking deploy open, standards-based Ethernet fabrics that scale from single clusters to large AI environments. Customers gain architectural flexibility, cost control, and interoperability within the data center, without relying on proprietary interconnects or closed networking stacks.
Predictable performance at AI scale
HPE Juniper Networking hardware and software are engineered for deterministic behavior under heavy load. Combined with Vultr’s cloud architecture, customers achieve consistent throughput, reduced job completion times, and stable performance across distributed AI and HPC workloads.
Validated designs for faster deployment
Vultr infrastructure, built to HPE Juniper Validated Designs, reduces deployment risk. End users benefit from proven configurations, faster time to production, and confidence operating large-scale GPU clusters powered by AMD accelerators.
Vultr Industry Partner stack
Lossless HPE Juniper Ethernet networking, built on Broadcom Tomahawk networking silicon and paired with large-scale AMD AI compute, is deployed across Vultr infrastructure. The partnership combines these technologies into a globally available, production-ready cloud solution for AI training, inference, and data-intensive workloads.
How it works
HPE Juniper switching is deployed as a unified Ethernet fabric across Vultr data centers, supporting frontend, storage, management, and GPU-specific fabrics. RoCEv2 and lossless operation are enabled on the GPU fabric, delivering low latency and scalable networking for AI training and inference workloads.
Together, Vultr, HPE Juniper Networking, and Broadcom combine Juniper switching, Broadcom silicon, and Vultr cloud infrastructure to deliver high-throughput, cloud-scale Ethernet networking.
-
HPE Juniper QFX5240 Ethernet Switch
Broadcom Tomahawk 5-based switch powering Vultr’s GPU-optimized fabric for large-scale AI workloads.
-
HPE Juniper Ethernet Fabric with DCQCN
Ethernet fabric with congestion management and load balancing, enabling lossless RoCEv2 on the GPU fabric.
-
HPE Juniper validated configurations
HPE Juniper’s AI/ML lab validates end-to-end interoperability and publishes vetted designs and configurations as HPE Juniper Validated Designs (JVDs).
Enterprise-ready for industry-specific workloads
High-performance networking underpins secure, low-latency, and scalable cloud platforms across regulated and data-intensive 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 silicon, HPE Juniper switching, and AMD GPUs combine to deliver predictable data movement, low latency, and scalable GPU communication in the cloud.
