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DAM-EP-YC9224-WDC-24C25G-4H1GP

Processor: Dual AMD EPYC 9224 – 24 Cores @ 2.5 GHz (Zen 4) – designed for multi-threaded AI compute and scalability

Memory: 128 GB DDR5 ECC Registered RAM – high-throughput, low-latency memory for deep learning and parallel workloads

Storage: 2 × 960 GB NVMe SSD – fast boot and scratch space for datasets and checkpoints

GPU: 4 × NVIDIA H100 80GB – Hopper architecture with Transformer Engine, FP8 precision, NVLink/NVSwitch support — built for foundation model training, generative AI, and multi-GPU orchestration

Bandwidth: 30 TB Premium Bandwidth @ 10 Gbps – handles massive data ingestion and inference output

Location: Hosted in Washington DC – Tier IV-certified data center with redundant power, cooling, and security

Use Case: Purpose-built for large language models, diffusion models, scientific computing, and AI-as-a-Service backends

Performance: PCIe Gen5 lanes + NVLink enable optimal GPU-to-GPU bandwidth — ready for frameworks like Megatron, DeepSpeed, and TensorParallel

Control: Full root access, Docker support, and NVIDIA driver stack with CUDA 12, TensorRT, NCCL, and Kubernetes GPU scheduling

Pricing: $12,379/month – elite AI infrastructure node for enterprise-scale ML ops and training workloads

Infrastructure: 100 Gbps private networking, 25 Gbps DDoS protection, secure racks, and 99.99% SLA hosting


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