END-TO-END EXPERTISE FOR HIGH-PERFORMANCE COMPUTING.
WHY ELIOVP
ElioVP brings facility, power, cooling, compute, model runtime, integration, and operational workflows into one technical conversation.
Published technology-company recognition supports our engineering credibility, while customer confidentiality is handled deliberately.
EXTERNAL VALIDATION
Enterprise infrastructure decisions require more than broad claims. ElioVP’s work is publicly documented through official technology-company channels.
Official article
AMD’s official article introduces Paiton by ElioVP and discusses ElioVP’s work on performance tooling, AI optimization and AMD platforms.
AMD Tech Talk also invited ElioVP CEO Elio Van Puyvelde to discuss the company’s origins, its end-to-end infrastructure work and its approach to AI, GPU and machine-learning solutions.
This supports ElioVP’s technical credibility in workload-aware GPU optimization and production AI infrastructure.
Customer success story PDF
Supermicro’s official success story documents ElioVP’s work with server, storage and GPU infrastructure for demanding workloads.
This provides externally published evidence of ElioVP’s practical infrastructure and performance-engineering experience.
Official marketplace listing
ElioVP appears in NVIDIA’s official enterprise partner marketplace.
This gives prospective customers a direct external source through which they can verify ElioVP’s presence in the NVIDIA partner ecosystem.
ENGINEERING CREDENTIALS
Our engineering team includes an Uptime Institute Accredited Tier Specialist (ATS), bringing formal knowledge of the Tier Standards into decisions around facility resilience, availability and operational requirements.
This strengthens our ability to identify infrastructure risks and align data center concepts with the required level of operational resilience.
OPERATIONS
Facility, colocation, compute, storage, networking, runtime, and operational software choices affect one another. ElioVP surfaces those trade-offs before they become expensive redesigns or handoffs.
ModFlex programs are shaped around site conditions, resilience, power, cooling, rack density, operational requirements, delivery timing, and future expansion.
Hardware-aware software and workload-specific optimization help produce more useful throughput from the systems and power already available.
AI applications are designed around existing systems, human review, data location, and measurable operating outcomes, rather than forcing replacement for its own sake.
LIFECYCLE VALUE
ElioVP looks at the full cost of a workload: what you buy, how efficiently it runs, and what it costs to operate and grow.
The goal is to remove waste before it becomes locked into the architecture.
Workload and capacity planning help avoid over-provisioning, mismatched components, and expensive redesigns.
Platform tuning, thermal design, and software optimization improve useful throughput from the infrastructure already in place.
One end-to-end technical partner connects sourcing, deployment, operations, and expansion, surfacing cost trade-offs earlier and reducing unnecessary handoffs.
We baseline performance, utilization, power, and operational requirements before design, then measure the delivered environment against agreed targets.
Cost reduction is customer- and workload-specific. ElioVP agrees the baseline, scope, and measurement method before making a project-specific business case. No universal saving is implied.
PROOF POINTS
FIELD RESULTS
Selected examples of how ElioVP applies compute, facility and optimization expertise across demanding infrastructure environments.
HPC DEPLOYMENT
ElioVP helped align server infrastructure, deployment requirements and workload performance for a demanding HPC environment.
INFRASTRUCTURE MODERNIZATION
ElioVP integrated high-performance compute systems into an existing enterprise environment, improving capacity and platform readiness.
MODFLEX MODULAR DATA CENTERS
ElioVP developed a purpose-built ModFlex modular data center concept around site conditions, power, cooling and future expansion requirements, using building-based modular facilities, engineered steel-frame modules and custom modular buildings.
SUPERCOMPUTING
ElioVP delivered and optimized a large AMD-based compute environment for cloud and high-performance workloads.
SUSTAINABILITY
Efficiency claims should begin with an agreed baseline. ElioVP models capacity, utilization, useful throughput, power, cooling, and operating requirements around the actual workload.
The objective is practical: avoid unnecessary capacity, improve useful output from deployed systems, and make energy and lifecycle trade-offs visible before they are locked into the architecture.
LATEST NEWS
Why do AI data-center proposals quote different GPU capacities? See how PUE, peak loads, storage, networking and cooling determine deployable compute.
Read more about AI Data Center Power Requirements: The GPU/MW Illusion
When we first started building Paiton, one of our earliest focus areas was optimizing diffusion models. Stable Diffusion XL was one of the first large models where we showed that fused operators, efficient execution, and hardware-aware kernels could make a real difference. Now we are returning to those origins.With the growing interest in text-to-video generation, ...
Read more about Paiton Returns to Its Diffusion Roots: Optimizing Wan2.2-T2V-A14B on AMD MI355X
It has been some incredible weeks for the team here at Eliovp. We are extremely proud to share that our company was recently featured on the front page of De Tijd, Belgium’s leading business newspaper. Seeing our story, from our founder’s early days tinkering with wires in an attic to generating €215 million in revenue, ...
Read more about From the Attic to the Front Page: ElioVP Recognized as a Pioneer in Chip Optimization & Data Center InfrastructureWe will connect the relevant infrastructure, performance, sovereignty, and workflow decisions into a focused first assessment.
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