Mango DPU
Free bottleneckAI clustersBoostX™ RoCE AI
The intelligent UEC-Ready DPU for AI clusters.
The definitive DPU built for massive AI clusters.
BoostX™ RoCE AI provides deterministic, low latency networking needed for AI scale-out clustering.
Line-rate AI performance.
Line-rate AI performance.
Unlock 400Gbps aggregate bandwidth scaling your AI 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 400Gbps aggregate bandwidth scaling your AI 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.
Scale-out Networking. Any GPU. Any NPU. Any Scale.
AI clustering across diverse compute elements.
BoostX™ RoCE AI delivers high-speed, scale-out networking across disparate compute accelerators avoiding vendor 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
Payload size is no longer a variable.
BoostX™ RoCE AI delivers consistent, line-rate interconnect at any payload size. RoCEv2 protocol is optimized with programmable congestion management which reduces tail latency and packet spraying which leads to fabric efficiency in the AI cluster.
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™ RoCE AI 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 the 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
Latest from MangoBoost.
Benchmark milestones, engineering deep-dives and company announcements.
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Dell spotlighted MangoBoost’s LLMBoost™ for MLPerf Inference v5.1
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Pioneering Multinode Heterogeneous Inference: MangoBoost and AMD, in Collaboration with OEM Partners, Sets Record Llama2-70B Performance in MLPerf Inference v5.1
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How Supermicro/AMD servers boost AI performance with MangoBoost
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Supermicro GPU Servers With MangoBoost LLMBoost™ AI Enterprise Software : Unlocking the full potential of AMD Instinct™ GPUS
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