Training AMD GPU Virtualization MxGPU SR-IOV - Optimizing Datacenter Performance

On quote

  • 4 days
  • Onsite
  • 10 people max.
Ref: SKI630
10 people max.
On quote
In-company rate: on quote
On-site and certification exam on quote
4 days
Onsite

Don't let this gap widen

Why this program matters

  • Without mastery of AMD GPU virtualization, IT teams expose the company to high risks: prolonged unavailability of AI workloads that can cost more than 50 000 euros per hour, exploitable security vulnerabilities in non-isolated environments, GPU resource overallocation generating 30 to 40 % budget waste, and accumulation of technical debt that makes future migrations complex and costly in modern datacenters.

Imed BEN AMOR, Learni trainer · Development expert
Imed BEN AMOR

Learni trainer · Development expert

73%productivity gap
×3cost of inaction
Flag of the United StatesBuilt for US teams
Payment by wire transferEnhanced confidentialityPerfect for companies with 50 to 500 employeesScheduling to fit any time zone

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Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft and Microsoft.

Learning objectives

  • Configure MxGPU and SR-IOV features on Instinct cards to isolate professional workloads
  • Deploy optimized GPU virtual machines in AMD production clusters
  • Secure data flows via Infinity Guard mechanisms integrated into AMD solutions
  • Optimize HPC and AI performance by adjusting GPU virtualization profiles
  • Monitor usage of virtualized GPU resources with enterprise ROCm tools
  • Troubleshoot latency and allocation incidents in AMD virtualized environments

Program

Module 1AMD GPU Architecture and MxGPU Virtualization: Overview of Instinct Cards, SR-IOV Activation and Initial Partitioning Labs

Discovery of AMD Instinct MI200 and MI300 cards, activation of MxGPU mode and SR-IOV configuration on EPYC servers, practical GPU partitioning work, concrete cases of resource allocation for AI workloads, deliverables including configuration scripts and validation reports for virtual partitions.

Module 2Hypervisor Integration: KVM and VMware Deployment, GPU VM Configuration and ROCm Driver Optimization

Installation and configuration of hypervisors supporting SR-IOV, creation of virtual machines with GPU passthrough, integration of ROCm drivers in VMs, live migration exercises and performance benchmarking, deliverables including VM templates and production integration guides.

Module 3Security and Isolation: Implementation of SEV and Infinity Guard, Access Control and Monitoring of Virtualized Environments

Application of SEV-SNP and Infinity Guard technologies to virtualized GPUs, security policy configuration, implementation of monitoring with ROCm tools, use cases for protection against datacenter attacks, deliverables including secured policies and monitoring dashboards.

Module 4Advanced Operations and Troubleshooting: Scalability, AI/HPC Optimization and Incident Resolution in Real Conditions

Production performance analysis, resolution of GPU latency and allocation issues, scalability workshops on AMD clusters, feedback on datacenter incidents, final deliverables with troubleshooting playbooks and optimization recommendations for the enterprise.

Evaluation method

  • MCQ validation of AMD technical concepts
  • Assessed labs on MxGPU configuration and securing
  • Troubleshooting simulation of a virtualized cluster

Learning method

  • In-depth theory on AMD architecture
  • Practical labs on real servers and GPUs
  • Concrete cases from datacenter projects
  • Feedback from the expert trainer

Methods, materials and delivery

The Training AMD GPU Virtualization MxGPU SR-IOV - Optimizing Datacenter Performance program is delivered onsite or remote (blended-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.

The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.

Equipment required

For the smooth delivery of the Training AMD GPU Virtualization MxGPU SR-IOV - Optimizing Datacenter Performance program, the following equipment is required:

  • Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
  • Training environments installed on workstations or accessible online
  • Course materials, hands-on exercises and complementary resources
  • Post-training access to materials and educational resources

For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.

* contact us for remote delivery feasibility** ratio varies depending on the program

Skills assessment methods

Assessment of skills acquired during the Training AMD GPU Virtualization MxGPU SR-IOV - Optimizing Datacenter Performance program is performed through:

  • During training: case studies, hands-on labs and professional scenarios
  • End of training: self-assessment questionnaire and skills evaluation by the trainer
  • After training: completion certificate detailing acquired skills

Program accessibility

Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.

Enrollment terms and lead times

Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.

The Learni story

Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.

Our method

Training quality, guaranteed at every step

Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.

Step 1

Rigorous trainer selection

Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.

  • Triple validation: technical, pedagogical, sectoral.
  • Minimum rating 4.8/5 over the last 12 sessions.
Step 2

You meet the trainer beforehand

30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.

  • Live briefing on goals and team context.
  • Veto right — we swap the trainer for free if needed.
Step 3

Content tailored to your context

No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.

  • Hands-on cases drawn from your stack and projects.
  • Program co-written then validated by your team.
Step 4

Continuous quality follow-up

Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.

  • NPS, knowledge quizzes and skills self-assessment.
  • Satisfaction guarantee: fully satisfied or free rework.

A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.

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Our social commitment

A school kit donated to a child for every training booked

To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.

  • Backpack, notebooks and essential supplies
  • Distributed through our partner charities
  • Included, at no extra cost to you
Enroll and offer a kit
FAQ

Frequently asked questions

What can participants do after AMD GPU Virtualization MxGPU SR-IOV training?+
They can configure MxGPU and SR-IOV features on Instinct cards to isolate professional workloads, deploy optimized GPU virtual machines in AMD production clusters and secure data flows via Infinity Guard mechanisms integrated into AMD solutions. Those are the stated objectives of the AMD GPU Virtualization MxGPU SR-IOV program at Advanced level, checked by the end-of-session assessment.
What does the AMD GPU Virtualization MxGPU SR-IOV program cover, day by day?+
Day 1: AMD GPU Architecture and MxGPU Virtualization: Overview of Instinct Cards, SR-IOV Activation and Initial Partitioning Labs. Day 2: Hypervisor Integration: KVM and VMware Deployment, GPU VM Configuration and ROCm Driver Optimization. Day 3: Security and Isolation: Implementation of SEV and Infinity Guard, Access Control and Monitoring of Virtualized Environments. Day 4: Advanced Operations and Troubleshooting: Scalability, AI/HPC Optimization and Incident Resolution in Real Conditions. The AMD GPU Virtualization MxGPU SR-IOV program runs over 4 days, delivered on site.
How is AMD GPU Virtualization MxGPU SR-IOV training assessed?+
Assessment relies on MCQ validation of AMD technical concepts, assessed labs on MxGPU configuration and securing and troubleshooting simulation of a virtualized cluster. Learni issues a completion certificate together with the individual assessment report at the end of the AMD GPU Virtualization MxGPU SR-IOV program, which an L&D team can file as evidence.
How much does AMD GPU Virtualization MxGPU SR-IOV training cost per participant?+
AMD GPU Virtualization MxGPU SR-IOV training is priced on quote. The amount depends on headcount, format and how far the syllabus is tailored to your team. A detailed quote is sent within one business day, and team pricing covers the whole group from the second participant.
How long does AMD GPU Virtualization MxGPU SR-IOV training take?+
4 days, available live online (US time zones) or on-site at your offices. Half-day tracks spread over several weeks are possible so the team stays operational.
Who pays for AMD GPU Virtualization MxGPU SR-IOV training?+
Most US teams pay directly through their company L&D or training budget. Learni invoices in US dollars and accepts bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
What do participants need to know before AMD GPU Virtualization MxGPU SR-IOV training?+
Advanced mastery of Linux server, KVM or VMware hypervisors, and concepts of GPU computing in datacenter environments.
Is a certificate issued after AMD GPU Virtualization MxGPU SR-IOV training?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report. Learni is a certified training provider and prepares for third-party certifications, but does not award them itself.
Does Learni provide the equipment for AMD GPU Virtualization MxGPU SR-IOV training?+
No. A computer and a stable internet connection are required for each participant. Learni provides the learning platform, the trainer and all course materials.
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