[{"categories":[],"content":" Enterprise Private Cloud \u0026 High Performance Computing MaNebula - AI/ML, Storage and Analytics Optimised for Private Workloads Purpose-built, high-throughput private cloud infrastructure. Eliminate public cloud egress tax, protect sovereign proprietary data, and accelerate compute-intensive workloads with bare-metal tiering and sub-millisecond fabric performance. Explore Architecture Workload Benchmarks \u0026lt; 0.8ms NVMe Latency 400 Gbps RoCEv2 Fabric 100% Data Sovereignty $0 Egress Charges Engineered for Mission-Critical Data Workloads A unified architecture bridging ultra-fast compute, petabyte-scale storage, and sovereign analytics on private hardware. AI \u0026 Machine Learning Optimized for deep learning model training, LLM fine-tuning, and low-latency inference. Direct GPU-to-GPU interconnects and automated checkpoint offloading eliminate training stalls. PyTorch, vLLM, TensorRT-LLM ready High-density GPU clustering Low-jitter distributed checkpoints High-Throughput Storage Software-defined NVMe-over-Fabrics (NVMe-oF) delivering multi-million IOPS. Parallel file systems seamlessly scale from terabytes to petabytes without throughput degradation. NVMe-oF \u0026 parallel distributed tiering POSIX \u0026 S3-compatible endpoints Zero data degradation / bit-rot protection Real-Time Analytics Integrated lakehouse querying with vector databases and stream pipelines. Run Spark, Trino, ClickHouse, and Milvus directly on fast local NVMe caches with zero remote transmission delay. Vector embeddings \u0026 semantic search Zero egress queries on sovereign data Sub-second response across billions of rows Architectural Edge Why Private Workloads Outperform Public Cloud Designed from the physical tier upward for predictable latency, guaranteed hardware allocation, and zero recurring egress tax. Capability Generic Public Cloud MaNebula Private Workloads Data Egress \u0026 Transfer $0.05 - $0.09 per GB (Compounding tax) $0.00 — Zero Egress Overhead Storage I/O Latency 5ms - 15ms (Network attached EBS/PD) \u0026lt; 0.8ms direct NVMe-oF fabrics Compute Consistency Multi-tenant noisy neighbor contention Dedicated bare-metal GPU \u0026 CPU pinning Data Sovereignty \u0026 Air-Gap Shared control planes \u0026 multi-region exposure 100% sovereign \u0026 air-gapped compliant Interconnect Bandwidth Throttled per-instance burst limits Symmetric 100/400 Gbps non-blocking RDMA Ready to benchmark your private AI and data workloads? Engage with MaNebula systems engineers to calculate TCO reductions and evaluate reference architectures customized for your workload throughput. Request Sizing Briefing ","permalink":"https://manebula.com/home/home-page/","tags":[],"title":""},{"categories":[],"content":"","permalink":"https://manebula.com/manifest.json","tags":[],"title":""},{"categories":[],"content":"","permalink":"https://manebula.com/search/_index.de/","tags":[],"title":""},{"categories":[],"content":"","permalink":"https://manebula.com/search/_index.es/","tags":[],"title":""},{"categories":[],"content":"","permalink":"https://manebula.com/search/_index.fr/","tags":[],"title":""},{"categories":[],"content":"","permalink":"https://manebula.com/search/_index.hi/","tags":[],"title":""},{"categories":[],"content":"","permalink":"https://manebula.com/search/_index.jp/","tags":[],"title":""},{"categories":[],"content":"","permalink":"https://manebula.com/search/_index.nl/","tags":[],"title":""},{"categories":[],"content":"","permalink":"https://manebula.com/search/_index.pl/","tags":[],"title":""},{"categories":[],"content":"","permalink":"https://manebula.com/search/_index.ru/","tags":[],"title":""},{"categories":[],"content":"","permalink":"https://manebula.com/search/_index.zh-cn/","tags":[],"title":""}]