Mango DPU
Free BottleneckAI ClustersBoostX™ RoCE AI
The Intelligent UEC-Ready DPU for AI Clusters.
The Definitive RNIC Built for Massive AI Clusters.
BoostX™ RoCE AI drives your data faster, Line-rate 400GbE with zero overhead. Connect to your AI Cluster.
Line-Rate AI Performance.
Line-Rate AI Performance.
Unlock 400GbE Aggregated Bandwidth and Low Latency for AI/ML Workloads.
Tailored for Every Accelerator.
Tailored for Every Accelerator.
Built for Universal xPU Compatibility. Any accelerator, any chip, unleash ultimate speed with xPU-to-Network acceleration.
UEC-Ready Features for Networking.
UEC-Ready Features for Networking.
Equipped with Ultra Ethernet Consortium (UEC) features for the next era of AI networking.
Line-Rate AI Performance.
Unlock 400GbE Aggregated Bandwidth and Low Latency for AI/ML Workloads.
Tailored for Every Accelerator.
Built for Universal xPU Compatibility. Any accelerator, any chip, unleash ultimate speed with xPU-to-Network acceleration.
UEC-Ready Features for Networking.
Equipped with Ultra Ethernet Consortium (UEC) features for the next era of AI networking.
Any GPU. Any NPU. Any Scale. High Speed for AI Clusters.
GPU over RDMA - Across Diverse GPUs
BoostX™ RoCE AI delivers high-speed RDMA networking across any GPU or NPU vendor, so your AI cluster scales without infrastructure lock-in.
High-speed networking between xPU servers, engineered to accelerate every AI workload at scale.
Optimized data transfer with xPU-direct and xPU-initiated RDMA.
Performance.
Data size is no longer a variable, Consistent line-rate, any data size.
UEC-Ready Features: Line-Rate, Unwavering Across Every Scale. Programmable Congestion Control holds throughput steady under load, and Packet Spray spreads traffic across every path. Consistent line rate from 1GB to 16GB workloads, delivering 85% line-rate utilization so every GPU works as one.
Performance Improvement from UEC-Ready Features
Competitor / DCQCNMangoBoost / DCQCNMangoBoost / DCQCN + Packet Spray
* DCQCN: Data Center Quantized Congestion Notification.
Available on the System.
Need to Scale? Explore Our GPU Servers.
The DPU is the foundation. See the MangoBoost products built to extend and complete the system around it.
Alphonso I GPU Server
- AI-optimized full-stack system design
- BoostX™ AI NIC for near-linear multi node scaling
- Zero-downtime service & integrated dashboard
Kesar Controller I Storage
- Daos-based high-performance storage engine
- BoostX™ DPU-based acceleration & offload technology
- User-friendly management solution
What workloads is it built for?
Explore the full range of workloads MangoBoost DPU is built to accelerate, from AI infrastructure to large-scale cloud and beyond.
Distributed AI Training
Accelerates large-model training across multi-server GPU clusters with line-rate collective communication and ultra-low latency.
AI/MLTraining
Real-Time AI Inference
Delivers the predictable low latency and high throughput needed for large-scale LLM serving and inference pipelines.
InferenceLLM
HPC & Scientific Computing
Powers tightly-coupled simulations and high-bandwidth data exchange for scientific, engineering, and research workloads.
HPCSimulation
Hyperscale AI Datacenters
Provides the scalable, standards-based Ethernet fabric required for next-generation AI infrastructure at cloud scale.
CloudHyperscale
Related News & Blog.
Benchmark milestones, engineering deep-dives and company announcements.
Related news and blog posts will appear here as they are published.
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