AMD Pensando Salina DPU

The AMD Pensando SALINA-DPU is built to offload infrastructure services in the data centre, freeing host CPUs for applications and AI. With isolated networking and security processing, it helps improve workload efficiency, visibility and control across enterprise environments.

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AMD Pensando Salina DPU Overview

As workloads intensify and shared platforms carry more traffic, infrastructure teams need stronger segmentation, lower CPU overhead and clearer control across fast-moving production environments.

Offload for Dense, High-Throughput Infrastructure

The AMD Pensando Salina DPU is built for environments that need to isolate infrastructure services from application processing. It fits AI front-end networks, cloud platforms and enterprise infrastructure where networking, security and storage tasks must stay responsive without drawing on host resources.

Designed to Relieve Host Systems

With a PCIe Gen5 x16 host interface and up to 400G port speed, the platform is suited to demanding east-west traffic and data-intensive workflows. Support for Ethernet, RDMA, RoCEv1 and RoCEv2 gives teams flexibility for low-latency transport and high-speed data movement.

Security and Visibility at the Infrastructure Layer

Integrated stateful firewall, IPsec, TLS and DDoS protection help separate policy enforcement from the server CPU. That supports tighter control, stronger workload isolation and better operational visibility across shared systems.

For teams standardising on the AMD Pensando Salina DPU, our specialists can help align the platform to your compute, security and networking requirements.

AMD Pensando Salina DPU Key Features​

AMD Pensando Salina DPU is a data processing platform for enterprise infrastructure and cloud environments, designed to offload network, storage, and security functions so host resources can stay focused on application workloads.

Accelerated Infrastructure Offload

Host CPU Relief
The DPU architecture moves infrastructure processing away from the host to reduce contention with application workloads.

High-Bandwidth Data Path
PCIe Gen5 x16 host connectivity provides a high-throughput interface between the platform and the server.

400G Network Interface
Maximum port speed of 400G supports high-capacity data movement for demanding infrastructure environments.

Cloud-Scale Integration
The platform is designed to fit into modern enterprise and cloud architectures where infrastructure services must operate alongside compute at scale.

Policy-Driven Protection

Integrated Security Services
Stateful firewall, IPsec, TLS, and DDoS protection help enforce network policy and secure traffic handling on the platform.

Inline Traffic Control
Security and processing functions are applied within the data path to support consistent enforcement across workloads.

Operational Isolation
Offloading infrastructure services from the host helps separate application execution from network and security processing.

Speak to an AMD Networking Specialist

If you are designing a secure high-throughput platform, our team can help align Salina DPU capabilities with your server and data center architecture.

AMD Pensando Salina DPU Technical Specifications

Full specifications for this model are listed below.

Additional information

Product Family

AMD Pensando

Product Series

Salina

Deployment

Data Centre

Target Organisation Size

Enterprise

Primary Use Case

Infrastructure Offload

Product Tier

Flagship

PCIe Generation

Gen5

Form Factor

FHHL PCIe

Device Type

DPU

Host Interface

PCIe Gen5.0 x16

Network Protocols

Ethernet / RoCEv1/v2 / UEC-ready RDMA

Max Network Ports

2

Maximum Port Speed

400G

RDMA Support

Yes

RoCE Support

Yes

DPU On-Board Memory (GB)

64

Security Features

Stateful Firewall / IPsec / TLS / DDoS Protection

Virtualisation Support

SR-IOV

Evaluating whether this is the right fit for your environment?

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AMD Pensando Salina DPU Deployment Scenarios

The AMD Pensando Salina DPU is built for server front-end networking in environments that need to offload security, storage and telemetry from host processors. It suits private-cloud, AI and multi-tenant infrastructure where compute must stay available for applications, not housekeeping.

AI-Ready Data Centre Server Farms

In data centre clusters carrying AI and mixed application traffic, teams need efficient data movement, tight isolation and clear observability. Salina DPU helps keep SDN, security and storage services off CPU cycles, improving host utilisation under pressure.

Virtualised Telecom Service Nodes

Telecom operators running virtual network functions and cloud-native services need high packet throughput, low jitter and predictable CPU use. Salina DPU supports these edge and core servers by offloading infrastructure tasks that would otherwise reduce service capacity.

Private-Cloud Finance Platforms

Financial workloads often depend on segmentation, telemetry and consistent network behaviour while preserving compute for regulated applications. Salina DPU gives infrastructure teams a separate execution path for networking and security, helping control overhead without weakening resilience.

Shared AI and Developer Clusters

Platform teams supporting builds, test systems and AI pipelines need shared environments that remain programmable but do not lose capacity to infrastructure services. Salina DPU preserves host resources for developers while keeping tenant isolation and network control in place.

Hospital and Research Infrastructure

Healthcare IT teams managing clinical and analytics platforms need secure data movement, stronger segmentation and closer visibility across shared systems. Salina DPU offloads networking and storage tasks so sensitive workloads gain more server capacity and tighter control.

Planning an AMD Pensando Salina DPU Deployment?

Our team can help design and deploy AMD Pensando Salina DPU for data centres, telecoms, finance, software development and healthcare environments where offload, isolation and operational control matter.

Tailored recommendations for your infrastructure

Below you’ll find alternative models, suitable software and services that pair with this solution – helping you to avoid compatibility issues, reduce support overhead and deploy with confidence.

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