AMD Instinct Servers for Deep Learning

Accelerate your data-driven insights with Deep Learning optimized systems powered by AMD Instinct™ MI100 accelerators.

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ROCm Open Platform

Provides a scalable, open source software platform optimized for large-scale heterogeneous system deployments.

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Ready-To-Deploy

Including optimized framework libraries and deep learning framework Docker containers for easier server deployments.

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HPC & AI Ready

Ideal for data scientists, immersion engineers, and product designers with support up to 8x MI25 GPUs in a 4U Chassis.

Customized Systems for Any Application, Any Scale

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Solution value property imagePowerful GPU for small Teams
Solution value property imageCreate, Train, and test deep learning Models
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Solution value property imageMore GPU memory for larger models
Solution value property imageSuitable for requiring massive GPU Compute Power
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Solution value property imageBest option for larger Organizations
Solution value property imageScale out training or inference tasks

Not sure what you need?

Let us know what kind of project you have planned. We can help you decide.

Accelerate Your Discoveries

AMD Instinct™ MI100 accelerator is the world’s fastest HPC GPU, engineered from the ground up for the new era of computing. Powered by the AMD CDNA architecture, the MI100 accelerators deliver a giant leap in compute and interconnect performance, offering a nearly 3.5x the boost for HPC (FP32 matrix) and a nearly 7x boost for AI (FP16) throughput compared to prior generation AMD accelerators.

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Technology

ROCm Open Software Platform for HPC

ROCm is the first open-source HPC/Hyperscale-class platform for GPU computing that’s also programming-language independent. ROCm incorporates the UNIX philosophy of choice, minimalism and modular software development to GPU computing. The new ROCm foundation lets you choose or even develop tools and a language run time for your application.

• Scalable, fully open source AMD ROCm software platform.
• Open source compiler, tools and libraries from the metal forward.
• Easier, more flexible programming model through

Additional ROCm documentation:

» ROCm Homepage
» ROCm Software Platform Page for Manual Installs
» ROCm Docker Hub for Containers

ROCm Architecture