EcosAI Ecosystem is a modular hardware-software infrastructure that enables organizations to design, build, and operationally manage their own AI solutions—autonomous environments for the development, training, validation, and deployment of artificial intelligence systems.
EcosAI is an infrastructure foundation for organizations/teams that:
- require full control over data and AI processes. Through on-premises and hybrid deployments, EcosAI minimizes dependence on external cloud providers, enabling protection of intellectual property, sensitive data, and compliance with applicable regulations,
- want to own, control, and scale their resources instead of relying solely on external cloud services.
- treat AI as a strategic asset and aim to develop it within their own technological ecosystem, with full control over data, costs, and development direction.
EcosAI is a solution consisting of two configured and optimized environments:
Software environment
- pre-installed and optimized Ubuntu Server system;
- full suite of deep learning frameworks: PyTorch, TensorFlow, Keras;
- customized and optimized NVIDIA GPU drivers;
- NVIDIA Toolkit and NVIDIA Container Toolkit enabling AI workloads in containerized environments
- self-hosted automation platform used for orchestration of research, experimental, and educational processes;
- a set of tools supporting full lifecycle management of machine learning projects—from experimentation and model tracking to deployment.
Hardware environment
- the use of the latest AMD processors and professional NVIDIA GPUs, combined with a ready-to-use software environment, ensures uninterrupted performance even for the most demanding tasks. Whether you are working on data analysis, video rendering, or advanced scientific research—our solutions allow you to focus on results rather than hardware limitations.
- in modern analytics, deep learning, and advanced scientific computing, high-performance hardware is the foundation of success. Our workstations are designed for maximum efficiency in compute-intensive applications, offering the best combination of AMD processors and NVIDIA GPUs.
- depending on requirements and intended use, EcosAI is delivered with one of the specially tailored and parameterized hardware environments from the HES (High End System) line
- HES-Tuna – affordable performance, (cost-effective solution using a single GPU. Excellent GPU performance and high CPU computing power in a compact form factor. Indicative parameters:)
- up to 8 cores (16 threads),
- from 32 to 128GB DDR5 RAM
- up to 16TB PCIe NVMe SSD,
- GPU: 1x (RTX PRO 4500 Blackwell 32GB, RTX PRO 4000 Blackwell 24GB, RTX PRO 2000 Blackwell 16GB).
- HES-Sailfish – high computing power in a compact space (high-performance workstation with a single GPU. Multi-core AMD Ryzen processor and RTX PRO 6000 Blackwell Max-Q 96GB deliver outstanding AI performance. Indicative parameters:
- up to 16 cores (32 threads
- from 32 to 256GB DDR5 RAM
- up to 24TB PCIe NVMe SSD,
- GPU: 1x (RTX PRO 6000 Blackwell Max-Q 96GB, RTX PRO 5000 Blackwell 48–72GB, RTX PRO 4500 Blackwell 32GB, RTX PRO 4000 Blackwell 24GB, RTX PRO 2000 Blackwell 16GB).
- HES-Swordfish – on-demand high performance (high-performance workstation dedicated to EcosAI. Dual GPU support ensures exceptional performance. Wide configuration range tailored to customer-defined AI use cases. Indicative parameters:
- up to 16 cores (32 threads),
- from 32 to 256GB DDR5 RAM,
- up to 32TB PCIe 5.0 NVMe SSD,
- GPU: 2x (RTX PRO 6000 Blackwell Max-Q 96GB, RTX PRO 5000 Blackwell 48–72GB, RTX PRO 4500 Blackwell 32GB, RTX PRO 4000 Blackwell 24GB, RTX PRO 2000 Blackwell 16GB).
- HES-Marlin – no compromises (a hardware environment delivering uncompromising compute power. Multi-core AMD Threadripper, multi-channel ECC RDIMM memory, and support for four RTX PRO 6000 Blackwell Max-Q 96GB GPUs guarantee ultimate performance. Full configurability. No limits. Pure power.)
- up to 96 cores (192 threads),up to 1024GB DDR5 ECC RDIMM RAM
- up to 32TB PCIe 5.0 NVMe SSD,
- GPU: 4x (RTX PRO 6000 Blackwell Max-Q 96GB, RTX PRO 5000 Blackwell 48–72GB, RTX PRO 4500 Blackwell 32GB, RTX PRO 4000 Blackwell 24GB, RTX PRO 2000 Blackwell 16GB) also available in 19’’ rack version
- HES-Orca – multi-processor server
- custom-configured solution
EcosAI – Key Benefits
· Reduced entry barriers and operational costs. The EcosAI ecosystem significantly simplifies the creation and maintenance of local AI environments:
o faster deployment of AI environment
o reduced operational and administrative cost
o minimized configuration error risks
o standardized environments across the organization.
· Focus on high-value work. Preconfigured and automated architecture allows engineers, researchers, R&D teams, and students to focus on:
o AI model design and development
o data analysis and interpretation
o algorithm and computational optimization
o conceptual and experimental work
· Competency development and deployment suport. EcosAI enables access to dedicated training services in:
o Agentic AI design and implementation,
o working with autonomous AI systems,
o effective use of AI in research, education, and industry
· Foundation for automation and autonomy EcosAI enables:
o integration of Agentic AI,
o autonomous experimentation,
o development of real-world educational systems,
o transition toward autonomous AI Factories.
EcosAI – Example Use Cases:
- AI for Quantum
- AI for Science – research, simulations, experiments
- AI for Education – learning environments and labs
- AI for Industry – business process optimization
- Agentic AI – autonomous systems development
- Video Rendering and Postproduction – high-resolution rendering with reduced export times thanks to AMD CPUs and NVIDIA GPUs
- Scientific Computing and HPC – accelerated simulations and modeling in physics, chemistry, engineering
- Deep Learning and AI – local training and real-time inference of complex models.
- Development of proprietary business solutions, including:
o Quantum.ai environments – ion trap simulation, calibration, and modelin
o IT project scheduling tools
EcosAI provides a solid foundation for rapidly launching AI projects and experimenting with new solutions without the need for manual environment configuration. EcosAI supports organizations in
- building sovereign AI capabilities,
- monetizing proprietary models,
- creating sustainable AI-driven competitive advantage.
EcosAI – Security and Data Privacy
EcosAI enables the development of private and hybrid AI solutions where all critical resources remain under direct organizational control.
The organization retains full control over:
- compute infrastructure and storage,
- AI models and their lifecycle,
- training, experimental, and production data,
- security, access, and audit policies.
EcosAI architecture supports:
environment separation (research, education, production),
· data and workload isolation,
· enforcement of access policies compliant with organizational and regulatory requirements,
· secure deployment and operation of AI models in sensitive environments.
EcosAI – Functional and Architectural Scope
Covers the full AI lifecycle:
- data and data source management,
- model development and training,
- validation and experimentation
- production deployment,
- research, education, and operational modes.
Acts as an orchestration and automation layer enabling:
- Agentic AI development environments,
- AI-supported experimental labs,
- integration of simulation and laboratory computing,
- secure production deployment.
EcosAI – Functional and Architectural Scope
Covers the full AI lifecycle:
- data and data source management,
- model development and training,
- validation and experimentation
- production deployment,
- research, education, and operational modes.
Acts as an orchestration and automation layer enabling:
- Agentic AI development environments,
- AI-supported experimental labs,
- integration of simulation and laboratory computing,
- secure production deployment.
EcosAI – Deployment Model and Control Supports:
- on-premises deployments,
- hybrid architectures,
- scalable compute (GPU workstation / HPC / edge server).Designed for
o IP and sensitive data protection,
o regulatory compliance,
o environment separation.
EcosAI – Modular Architecture and Phased Development Enables step-by-step AI system development:
- pilot and experimental environments,
- scaling compute and teams,
- AI process automation,
- operational autonomy.
Modular design allows adaptation to:
- current organizational needs,
- AI adoption pace,
- evolving technological and regulatory requirements.