Neocloud
AI
Neoclouds deliver specialized GPU infrastructure for AI — purpose-built, high-density compute optimized for training and inference at scale.
Technologies available for this scope
What organizations face today
- GPU availability — accessing scarce accelerators
- Cost — GPU economics at scale
- Performance — maximizing accelerator utilization
- Orchestration — scheduling AI workloads
- Data locality — moving data to compute
Future Challenges
GPU as a Service
On-demand accelerators at scale.
AI-optimized fabrics
Networking built for training.
Efficient utilization
Maximizing every GPU-hour.
Sustainable AI
Energy-aware AI compute.
Sovereign AI clouds
Regional, controlled AI infrastructure.
A Virtuous Cycle of Services
Services define the WHAT — the desired action according to the service type. They follow a virtuous cycle aligned with your Neocloud initiatives.
Define
Knowledge Transfer- Deliverable
We define a Neocloud skills development plan covering automation, security and observability.
Teach
Knowledge Transfer- Videos recorded session
- Deliverable
We deliver technical Neocloud sessions tailored to your teams' level and objectives.
Validate
Knowledge Transfer- Deliverable
We validate Neocloud knowledge through practical exercises and real-world scenarios.
Evaluate
Knowledge Transfer- Deliverable
We evaluate Neocloud skills and identify improvement areas for continuous progression.
Mentor
Knowledge Transfer- Deliverable
We provide Neocloud technical mentoring for troubleshooting, design and optimization.
Inform
Knowledge Transfer- Webinar
- Deliverable
We keep you informed about Neocloud trends, best practices and emerging technologies.
AI & Automation
AI and automation enhance every aspect of your Neocloud scope: detection, analysis, configuration, remediation, prediction and optimization.
- GPU utilization optimization
- Cost analysis
- Workload scheduling
- Capacity forecasting