![NVIDIA AI Factory from AMBER]()
NVIDIA AI Factory from AMBER
The integrated NVIDIA AI Factory stack for European enterprises
AMBER, your NVIDIA Elite Partner and NVIDIA AI Factory Specialized for Germany and Europe
The main goal of our designers is to optimise the computing performance of the GPU.
AMBER is an NVIDIA Elite Partner and NVIDIA AI Factory Specialized, providing its customers with expert advice and services for selecting and ordering customised GPU solutions for successful research and design projects.
AMBER AI & Data Science Solutions GmbH operates from its headquarters in Oberhaching, Germany. AMBER holds DIN EN ISO 9001:2015 and ISO/IEC 27001:2022 certifications, and was recognised as NVIDIA Rising Star Central Europe 2024 at the NVIDIA EMEA Partner Awards.
The enterprise AI infrastructure problem
Enterprises scaling production AI need infrastructure that arrives validated, deployable, and supportable, not a set of components to integrate in-house. Compute decisions now carry scale-out networking decisions, storage-fabric decisions, and software-platform decisions behind them. For most IT organisations, acquiring, validating, and operating that combined layer is a full-time programme. The risk is not the technology choice. The risk is time to a working production environment.
What is an NVIDIA AI Factory?
An NVIDIA AI Factory is the integrated stack of NVIDIA compute, networking, storage, and software that turns a data-centre footprint into production-grade enterprise AI infrastructure.
On the compute side, the stack spans NVIDIA DGX™ systems built on Grace Blackwell Ultra and Vera Rubin, from the rack-scale NVIDIA DGX™ Vera Rubin NVL72 and NVIDIA DGX™ GB300 to the deskside NVIDIA DGX™ Station. Networking is NVIDIA Spectrum-X™ Ethernet and NVIDIA Quantum-X800™ InfiniBand Platform, with NVIDIA ConnectX®-8 and ConnectX®-9 SuperNICs on the nodes. Storage is NVIDIA-certified from IBM, NetApp, and DDN. Software is NVIDIA AI Enterprise, NVIDIA Mission Control™, and NVIDIA Run:ai running on top.
AMBER integrates, deploys, and operates that stack for enterprises across Germany and Europe, bringing NVIDIA's reference architecture into production on AMBER's NVIDIA DGX SuperPOD-certified delivery model.
What's inside the AMBER NVIDIA AI Factory
Compute
The compute tier of an AMBER NVIDIA AI Factory pairs NVIDIA DGX-integrated systems with NVIDIA HGX OEM servers, so enterprises choose the right form factor for the workload. The NVIDIA DGX™ Vera Rubin NVL72 unifies 72 Rubin GPUs and 36 Vera CPUs as a single coherent rack-scale engine for agentic and reasoning AI workloads. At SuperPOD scale, 14 racks deliver 1,008 Rubin GPUs, 50.4 exaFLOPS of FP4 performance, and 1,046 TB of fast memory. NVIDIA DGX™ GB300 is the current shipping flagship with 72 Blackwell Ultra GPUs per rack and 1,440 PFLOPS of FP4 compute. For enterprises that prefer OEM hardware partners, NVIDIA HGX™ servers deliver the same Blackwell and Hopper GPU platforms in validated server designs from Supermicro, GIGABYTE, ASUS, MSI, and HPE. See AMBER's NVIDIA DGX systems portfolio.
Networking
NVIDIA Spectrum-X™ Ethernet delivers 1.6× AI network performance over off-the-shelf Ethernet and scales to 128,000 GPUs. NVIDIA Quantum-X800™ InfiniBand Platform provides 800 Gb/s per port with SHARP v4 in-network computing for trillion-parameter AI training and inference. Both fabrics run NVIDIA ConnectX®-8 or ConnectX®-9 SuperNICs on the compute nodes. Configuration choice depends on the workload; AMBER designs the fabric around the customer's training, inference, and multi-tenant patterns. Explore AMBER's NVIDIA networking portfolio.
Storage
Storage in an NVIDIA AI Factory comes from partners matched to the workload, throughput profile, and operational model. AMBER integrates storage from IBM, NetApp, DDN, Pure Storage, WEKA, Quobyte, and Nasuni across the NVIDIA DGX SuperPOD™ reference architecture and the broader AI Factory stack. Data-locality and staging design for large training runs sit alongside backup, archive, hybrid-cloud tiering, and compliance-grade retention for the production environments enterprises need to operate. AMBER specifies storage as part of the integrated design, not as a bolt-on procurement.
Software
NVIDIA AI Enterprise (NVAIE) provides the end-to-end enterprise software suite, NeMo, NIM microservices, Blueprints, and Omniverse libraries, validated on NVIDIA-Certified Systems. NVIDIA Mission Control™ operates the factory: workload scheduling, cluster management, and autonomous recovery up to 10× faster than manual methods. NVIDIA Run:ai orchestrates GPU resources and shared access across teams. The open-source NVIDIA KAI Scheduler is available for Kubernetes-native deployments. AMBER configures, deploys, and supports the full software suite through the operational life of the system.
How AMBER builds your AI Factory
Assess
AMBER's engineers assess workload patterns, data-locality constraints, power and cooling profiles, and operational maturity. The output is a scoped plan naming compute, networking, storage, and software components matched to the customer's production goals.
Design
AMBER designs the NVIDIA AI Factory architecture against the NVIDIA DGX SuperPOD™ reference, compute topology, fabric choice between NVIDIA Spectrum-X™ and NVIDIA Quantum-X800™, storage tiering, NVIDIA Mission Control™ deployment, and NVIDIA Run:ai governance. ISO/IEC 27001-aligned controls go into the design review.
Deploy
AMBER installs and commissions the hardware, deploys the NVIDIA software suite, runs validation against NVIDIA's reference performance, and hands over a documented production environment. DGX SuperPOD certification ensures every deployment follows the reference procedure NVIDIA validates.
Operate
AMBER's support team operates the environment alongside the customer, patch management, firmware cycles, Mission Control alerts, expansion planning, and lifecycle support through the hardware's operational life. Three-year NVIDIA enterprise support is included where NVIDIA's DGX model provides it.
Industries AMBER serves
Healthcare and Life Sciences
Medical imaging, drug discovery, and genomics workloads benefit from high-bandwidth GPU memory and specialised inference acceleration. AMBER configures NVIDIA AI Factory environments for research institutes and pharmaceutical enterprises across Germany, applying ISO/IEC 27001-aligned data-handling practices from the design phase forward.
Financial Services
Fraud detection, risk modelling, and high-frequency inference require predictable latency and GPU utilisation. AMBER integrates NVIDIA Run:ai governance so FSI customers can share AI infrastructure across trading, risk, and compliance teams while holding the audit trails the regulator expects.
Manufacturing and Engineering
AMBER's heritage in engineering simulation, through the FluiDyna lineage, extends into AI-accelerated CAE, digital twins, and generative design. NVIDIA AI Factory compute at enterprise scale runs production simulation alongside AI workloads on the same infrastructure.
Research and Academia
Research institutes running multi-team workloads benefit from shared GPU access, fair scheduling, and reproducible environments. AMBER deploys NVIDIA DGX SuperPOD environments for research and design projects at European research institutes and corporate R&D organisations.
Defence and Public Sector
ISR processing, sovereign large language model training, and secure simulation workloads require on-premise GPU clusters with data residency guarantees. AMBER deploys NVIDIA DGX SuperPOD environments for European public sector and defence-adjacent organisations, applying ISO/IEC 27001-aligned data-handling practices from initial architecture through operational handover.
Automotive and Mobility
AV sensor fusion training, NVIDIA DRIVE Sim scenario validation, and factory-floor computer vision workloads demand sustained GPU throughput at rack scale. AMBER integrates NVIDIA DGX systems and Omniverse digital twins for automotive and industrial customers, bringing ISO 9001 quality management and FluiDyna engineering heritage.
Frequently asked questions
What is an NVIDIA AI Factory?
An NVIDIA AI Factory is an integrated stack of NVIDIA compute, networking, storage, and software that delivers production-grade enterprise AI infrastructure from a validated reference architecture. Compute spans NVIDIA DGX Vera Rubin NVL72, NVIDIA DGX GB300, and NVIDIA DGX Station; networking is NVIDIA Spectrum-X Ethernet and NVIDIA Quantum-X800 InfiniBand; software is NVIDIA AI Enterprise, NVIDIA Mission Control, and NVIDIA Run:ai. The AI Factory model turns a data-centre footprint into a production AI environment.
Who is an NVIDIA AI Factory Partner?
An NVIDIA AI Factory Partner is a member of the NVIDIA Partner Network recognised for delivering the complete NVIDIA AI Factory stack from compute to software.
AMBER AI & Data Science Solutions GmbH is an NVIDIA Elite Partner and NVIDIA DGX SuperPOD-certified integrator headquartered in Oberhaching, Germany, designing and deploying NVIDIA AI Factory environments for enterprises across Germany and Europe.
AMBER has been part of the NVIDIA Partner Network since 2016 through the FluiDyna lineage.
What NVIDIA hardware is in an AI Factory?
An NVIDIA AI Factory integrates compute, networking, and storage in one reference architecture. Compute includes rack-scale NVIDIA DGX Vera Rubin NVL72 (72 Rubin GPUs and 36 Vera CPUs) and NVIDIA DGX GB300 (72 Blackwell Ultra GPUs and 36 Grace CPUs), alongside the deskside NVIDIA DGX Station. Networking is NVIDIA Spectrum-X Ethernet or NVIDIA Quantum-X800 InfiniBand, with NVIDIA ConnectX-8 and ConnectX-9 SuperNICs on the nodes. Storage is NVIDIA-certified from IBM, NetApp, and DDN.
What software runs on an NVIDIA AI Factory?
An NVIDIA AI Factory runs NVIDIA AI Enterprise (NVAIE) as the end-to-end enterprise software suite, covering NeMo, NIM microservices, Run:ai, and Omniverse libraries. NVIDIA Mission Control orchestrates the factory operations: workload scheduling, cluster management, autonomous recovery, and power integration. NVIDIA Run:ai governs GPU access across teams, and the open-source NVIDIA KAI Scheduler is available for Kubernetes-native deployments. Customer workloads run on top through containers or virtualised environments.
How long does NVIDIA AI Factory deployment take?
Deployment timing varies by scope, hardware availability, and site readiness. AMBER follows a four-phase model, Assess, Design, Deploy, Operate, with typical production readiness spanning several months from initial assessment through validated handover. AMBER provides a scoped timeline after the assessment phase, with delivery anchored to NVIDIA's reference architecture and the NVIDIA DGX SuperPOD deployment procedure. Early customer engagement lets AMBER align with the customer's site and commissioning schedule.
Does AMBER provide NVIDIA AI Factory services in Germany specifically?
Yes. AMBER AI & Data Science Solutions GmbH is headquartered in Oberhaching, Germany, near Munich, with a subsidiary (AMBER East Europe EOOD) in Sofia, Bulgaria. AMBER serves enterprises and research institutes across Germany, Austria, Switzerland, and Central and Eastern Europe. German-language customer support and ISO/IEC 27001-aligned delivery practices apply across the service area. AMBER's engineering team operates from Oberhaching with on-site engagement where deployments require it.
How do we start?
Contact AMBER to scope your NVIDIA AI Factory. The team runs an assessment covering workload, data-locality, power, cooling, and operational readiness, then returns a scoped architecture and timeline. AMBER's sales team in Germany responds in English or German. Most inquiries receive a first response within two working days.
Why enterprises choose AMBER for their NVIDIA AI Factory
AMBER has been part of the NVIDIA Partner Network since 2016, originally through the FluiDyna lineage and now as AMBER AI & Data Science Solutions GmbH. That ten-plus years of partnership shows up in three ways that matter for enterprise buyers.
First, NVIDIA DGX SuperPOD™ certification, held by a limited number of partners in Central Europe, means every deployment follows NVIDIA's reference procedure.
Second, DIN EN ISO 9001:2015 and ISO/IEC 27001:2022 certifications give enterprises the quality-management and information-security assurance that German corporate procurement expects.
Third, the NVIDIA Rising Star Central Europe 2024 award recognises AMBER's growth and delivery across the region. Headquartered in Oberhaching near Munich, AMBER delivers on site where European enterprises need it.
European enterprises are choosing to own and operate their own NVIDIA AI Factory rather than rent capacity. AMBER's job is to make that practical, from first assessment through NVIDIA DGX SuperPOD-certified delivery, so customers have production AI infrastructure they control, in Germany, on their timeline.
Thomas Kitzler Sales Director EMEA, AMBER AI & Data Science Solutions GmbH
AMBER delivers your NVIDIA AI Factory
AMBER AI & Data Science Solutions GmbH designs, deploys, and operates NVIDIA AI Factory environments for enterprises across Germany and Europe, from first consultation to operational handover.