CEPH Storage
for AI & HPC
Next-generation distributed infrastructure designed to scale without limits. Expert consulting, rapid implementation, 24/7 support.
Optimized high-performance CEPH clusters
Acceleration for ML, AI, and critical HPC workloads
24/7 expert technical support available
Storage for AI and ML
CEPH infrastructure specialized in accelerating your artificial intelligence and machine learning workloads. From model training to production inference.
RBD for ML Training
Ultra-high performance block storage for training models at scale. Predictable latency and consistent IOPS.
- Instant snapshots
- Fast dataset cloning
- Flexible RAID
RGW S3 Compatible
S3-compatible object storage for massive datasets. Perfect for storing pre-trained models and inference.
- Model versioning
- Automatic lifecycles
- Native multi-tenancy
CephFS for HPC
Distributed file system for massive parallel loads. Compatible with AI frameworks like PyTorch and TensorFlow.
- Extreme parallel I/O
- Distributed metadata
- Intelligent caching
Integration with AI Frameworks
CEPH is optimized to work seamlessly with the major machine learning frameworks.
PyTorch DataLoader
Native dataset loading optimization
TensorFlow tf.data
Scalable data pipeline for training
Hugging Face Datasets
Optimized management of models and datasets
Experts in CEPH, AI and Computing
Years of experience, certifications, and an unwavering commitment to our clients' success.
50+
Projects Completed
In HPC/AI infrastructure
+15
Years of Experience
In distributed storage
100%
Client-Adapted
Satisfaction guaranteed
24/7
Technical Support
Always available
Proven Results
Real Cases
We have repeatedly demonstrated our ability to improve the efficiency and performance of HPC and AI environments. Our clients have achieved 60% latency reductions, 300% throughput increases, and 45% cost optimizations.
✓ Average ROI: 8-12 months
