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DAM-EP-YC7413-WDC-24C26G-2H1GP

Processor: Dual AMD EPYC 7413 – 24 Cores @ 2.65 GHz (Zen 3)

Memory: 128 GB DDR4 ECC Registered RAM – high-bandwidth memory tuned for AI workloads and large datasets

Storage: 2 × 960 GB NVMe SSD – blazing-fast storage ideal for scratch space, model checkpoints, and I/O-heavy pipelines

GPU: 2 × NVIDIA H100 80GB – Hopper architecture with 160GB total HBM3 VRAM, perfect for LLMs, generative AI, and deep learning

Bandwidth: 30 TB Premium Bandwidth @ 10 Gbps – ample capacity for cloud-based training and API traffic

Location: Hosted in Washington DC – Tier IV enterprise-grade facility with premium connectivity

Use Case: Purpose-built for AI model training, vector search, multimodal inference, molecular modeling, and HPC acceleration

Performance: PCIe Gen5 architecture with full CUDA/NVLink support for high-throughput, parallel GPU compute

Control: Full root access with compatibility for all major ML stacks: PyTorch, TensorFlow, JAX, Triton Inference Server, and Docker

Pricing: $5,279/month – best-value dual H100 config for advanced AI projects

Infrastructure: 25 Gbps DDoS protection, 100 Gbps private fabric, and redundant power in a secured DC hub


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