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High-End GPU for AI & Compute

GPU-accelerated servers with powerful CPUs, 256+ GB RAM, and NVIDIA GPUs — purpose-built for AI, ML training, video rendering, and high-performance compute.

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DAM-EP-YC7543-WDC-32C28G-1L4GP
  • Dual AMD EPYC 7543 – 32 Cores @ 2.8 GHz Processor
  • NVIDIA L40S – next-gen acceleration for AI, rendering, and compute GPU
  • 128 GB DDR4 ECC RAM – optimized for heavy parallel processing Memory
  • 2 × 960 GB SSD – ultra-fast NVMe-like I/O performance Storage
  • 30 TB Premium Bandwidth – ideal for large data sets and workloads Bandwidth
  • Hosted in Washington DC – low-latency East Coast delivery Location
  • Built for AI/ML workloads, deep learning, 3D rendering, VFX, and large-scale scientific computing Use Case
  • Root access and GPU passthrough support Control
  • Enterprise data center with redundant cooling, power, and networking for maximum uptime Reliability
DAM-EP-YC7413-WDC-24C26G-2H1GP
  • Dual AMD EPYC 7413 – 24 Cores @ 2.65 GHz (Zen 3)
    Processor
  • 128 GB DDR4 ECC Registered RAM – high-bandwidth memory tuned for AI workloads and large datasets
    Memory
  • 2 × 960 GB NVMe SSD – blazing-fast storage ideal for scratch space, model checkpoints, and I/O-heavy pipelines
    Storage
  • 2 × NVIDIA H100 80GB – Hopper architecture with 160GB total HBM3 VRAM, perfect for LLMs, generative AI, and deep learning
    GPU
  • 30 TB Premium Bandwidth @ 10 Gbps – ample capacity for cloud-based training and API traffic
    Bandwidth
  • Hosted in Washington DC – Tier IV enterprise-grade facility with premium connectivity
    Location
  • Purpose-built for AI model training, vector search, multimodal inference, molecular modeling, and HPC acceleration
    Use Case
  • PCIe Gen5 architecture with full CUDA/NVLink support for high-throughput, parallel GPU compute
    Performance
  • Full root access with compatibility for all major ML stacks: PyTorch, TensorFlow, JAX, Triton Inference Server, and Docker
    Control
  • $5,279/month – best-value dual H100 config for advanced AI projects
    Pricing
  • 25 Gbps DDoS protection, 100 Gbps private fabric, and redundant power in a secured DC hub Infrastructure
DAM-EP-YC7413-WDC-24C26G-2L4GP
  • Dual AMD EPYC 7413 – 24 Cores @ 2.65 GHz (Zen 3)
    Processor
  • 128 GB DDR4 ECC Registered RAM – stable, high-capacity memory for multi-threaded AI and graphics workloads
    Memory
  • 2 × 960 GB NVMe SSD – fast SSDs for models, datasets, and real-time processing
    Storage
  • 2 × NVIDIA L40S 48GB – Ada Lovelace architecture optimized for GenAI, rendering, and high-throughput inference
    GPU
  • 30 TB Premium Bandwidth @ 10 Gbps – ideal for AI model deployment, content generation, and cloud rendering
    Bandwidth
  • Hosted in Washington DC – Tier IV-certified data center with global reach and low-latency peering
    Location
  • Designed for ML inference, GenAI pipelines, virtual production, and real-time 3D workloads
    Use Case
  • Supports PCIe Gen4/5 and GPU parallelism — ready for TensorRT, CUDA, and Omniverse environments
    Performance
  • Full root access with pre-installed NVIDIA drivers and compatibility with major AI frameworks
    Control
  • $2,429/month – enterprise-grade dual-GPU server for scalable AI and accelerated compute
    Pricing
  • 100 Gbps private network (intra-DC), 25 Gbps DDoS protection, advanced network security, and high-availability SLA Infrastructure
DAM-EP-YC7413-WDC-24C26G-3L4GP
  • Dual AMD EPYC 7413 – 24 Cores @ 2.65 GHz (Zen 3)
    Processor
  • 128 GB DDR4 ECC Registered RAM – reliable, high-capacity RAM for multitasking and AI compute
    Memory
  • 2 × 960 GB NVMe SSD – high-speed, low-latency storage for model data and datasets
    Storage
  • 3 × NVIDIA L40S 48GB – Ada Lovelace architecture with powerful tensor, RT, and CUDA cores — built for AI inference, training, and 3D/AR workloads
    GPU
  • 30 TB Premium Bandwidth @ 10 Gbps – ideal for ML pipeline automation, dataset transfers, and model API serving
    Bandwidth
  • Hosted in Washington DC – Tier IV facility with enterprise redundancy and low-latency network fabric
    Location
  • Designed for multimodal GenAI, diffusion models, AI-assisted media production, VR/AR rendering, and hybrid workloads
    Use Case
  • Supports PCIe Gen4/5, multi-GPU orchestration, CUDA 12, TensorRT, and Omniverse stack
    Performance
  • Full root access with GPU pass-through and support for major AI frameworks: PyTorch, TensorFlow, JAX, etc.
    Control
  • $3,349/month – scalable, GPU-rich node for production-level AI and visualization compute
    Pricing
  • 100 Gbps private network (intra-DC), 25 Gbps DDoS protection, SLA-backed uptime, and cooling resilience Infrastructure
DAM-EP-YC9224-WDC-24C25G-1H1GP
  • Dual AMD EPYC 9224 – 24 Cores @ 2.5 GHz (Zen 4)
    Processor
  • 128 GB DDR5 ECC Registered RAM – high-bandwidth, server-grade memory for AI and compute-intensive tasks
    Memory
  • 2 × 960 GB NVMe SSD – enterprise-grade storage for fast data throughput and low-latency AI workflows
    Storage
  • 1 × NVIDIA H100 80GB – Hopper architecture with HBM3, ideal for LLM inference, model training, and HPC workloads
    GPU
  • 30 TB Premium Bandwidth @ 10 Gbps – supports API delivery, data streaming, and cross-cloud transfers
    Bandwidth
  • Hosted in Washington DC – Tier IV datacenter with redundant power, cooling, and premium backbone
    Location
  • Built for generative AI, large-scale model tuning, scientific compute, and ML deployment at scale
    Use Case
  • PCIe Gen5 for peak GPU throughput and low-latency GPU access across major AI frameworks
    Performance
  • Full root access with support for CUDA 12, PyTorch, TensorFlow, Hugging Face, and inference toolchains
    Control
  • $3,999/month – cost-effective H100 platform for mid-to-enterprise AI use cases
    Pricing
  • 100 Gbps private network fabric, 25 Gbps DDoS protection, and 99.99% uptime SLA Infrastructure
DAM-EP-YC9224-WDC-24C25G-2H1GP
  • Dual AMD EPYC 9224 – 24 Cores @ 2.5 GHz (Zen 4)
    Processor
  • 128 GB DDR5 ECC Registered RAM – high bandwidth, optimized for AI workloads and data pipelines
    Memory
  • 2 × 960 GB NVMe SSD – low-latency disks for datasets, checkpoints, and scratch space
    Storage
  • 2 × NVIDIA H100 80GB – Hopper architecture with 160GB total HBM3 VRAM for advanced training, inference, and HPC
    GPU
  • 30 TB Premium Bandwidth @ 10 Gbps – ideal for model distribution and data ingestion
    Bandwidth
  • Hosted in Washington DC – Tier IV data center with low-latency backbone access across North America
    Location
  • Perfect for LLM training, generative AI, fine-tuning, molecular simulation, and high-performance ML research
    Use Case
  • PCIe Gen5 with NVLink interconnect for minimal latency and optimal GPU throughput
    Performance
  • Full root access, supports CUDA, cuDNN, PyTorch, TensorFlow, HuggingFace, and Kubernetes with NVIDIA support
    Control
  • $6,779/month – scalable GPU solution for serious AI builders
    Pricing
  • Enterprise facility with 25 Gbps DDoS protection, redundant power, and 100 Gbps private interconnects Infrastructure
DAM-EP-YC9224-WDC-24C25G-4H1GP
  • Dual AMD EPYC 9224 – 24 Cores @ 2.5 GHz (Zen 4) – designed for multi-threaded AI compute and scalability
    Processor
  • 128 GB DDR5 ECC Registered RAM – high-throughput, low-latency memory for deep learning and parallel workloads
    Memory
  • 2 × 960 GB NVMe SSD – fast boot and scratch space for datasets and checkpoints
    Storage
  • 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
    GPU
  • 30 TB Premium Bandwidth @ 10 Gbps – handles massive data ingestion and inference output
    Bandwidth
  • Hosted in Washington DC – Tier IV-certified data center with redundant power, cooling, and security
    Location
  • Purpose-built for large language models, diffusion models, scientific computing, and AI-as-a-Service backends
    Use Case
  • PCIe Gen5 lanes + NVLink enable optimal GPU-to-GPU bandwidth — ready for frameworks like Megatron, DeepSpeed, and TensorParallel
    Performance
  • Full root access, Docker support, and NVIDIA driver stack with CUDA 12, TensorRT, NCCL, and Kubernetes GPU scheduling
    Control
  • $12,379/month – elite AI infrastructure node for enterprise-scale ML ops and training workloads
    Pricing
  • 100 Gbps private networking, 25 Gbps DDoS protection, secure racks, and 99.99% SLA hosting Infrastructure
DAM-EP-YC9334-WDC-32C27G-1H1GP
  • Dual AMD EPYC 9334 – 32 Cores @ 2.7 GHz (Zen 4)
    Processor
  • 128 GB DDR5 ECC Registered RAM – ideal for multitasking and memory-intensive AI training jobs
    Memory
  • 2 × 960 GB NVMe SSD – high-performance flash storage for fast dataset access and I/O-bound compute
    Storage
  • 1 × NVIDIA H100 80GB – Hopper architecture, 80GB HBM3 memory, perfect for deep learning, LLMs, and scientific workloads
    GPU
  • 30 TB Premium Bandwidth @ 10 Gbps – enables large-scale data ingress and egress
    Bandwidth
  • Hosted in Washington DC – enterprise-grade Tier IV facility with ultra-low latency peering
    Location
  • Optimized for LLM inference, transformer model fine-tuning, deep learning training, and HPC tasks
    Use Case
  • PCIe Gen5 with full CUDA stack support, multi-threaded GPU compute, and mixed precision acceleration
    Performance
  • Full root access, compatible with PyTorch, TensorFlow, JAX, HuggingFace, NVIDIA Triton, and CUDA 12
    Control
  • $4,199/month – unlock enterprise-level AI compute with H100 efficiency
    Pricing
  • Includes 100 Gbps private network access, 25 Gbps DDoS protection, and high-redundancy power & cooling Infrastructure
DAM-EP-YC9334-WDC-32C27G-1H2GP
  • Dual AMD EPYC 9334 – 32 Cores @ 2.7 GHz (Zen 4)
    Processor
  • 128 GB DDR5 ECC Registered RAM – high-bandwidth, low-latency memory optimized for GPU workloads and model pipelines
    Memory
  • 2 × 960 GB NVMe SSD – ultra-fast, enterprise-grade storage for model checkpoints and dataset handling
    Storage
  • 1 × NVIDIA H200 141GB HBM3e – the latest Hopper architecture GPU designed for memory-intensive LLMs, GenAI, and inference acceleration
    GPU
  • 30 TB Premium Bandwidth @ 10 Gbps – supports distributed AI workloads and global API deployment
    Bandwidth
  • Hosted in Washington DC – Tier IV data center with high availability and optimal East Coast routing
    Location
  • Tailored for LLM inference, memory-heavy vector databases, generative AI apps, and real-time model deployment
    Use Case
  • PCIe Gen5 support with full CUDA, NVLink-ready, and compatibility with NVIDIA AI Enterprise stack
    Performance
  • Full root access, pre-validated for PyTorch, TensorFlow, HuggingFace, and Kubernetes with GPU scheduling
    Control
  • $4,629/month – H200 power at a scalable entry point
    Pricing
  • Includes 25 Gbps DDoS mitigation, 100 Gbps private network access, redundant power, and SLA-backed uptime Infrastructure
DAM-EP-YC9334-WDC-32C27G-1L4GP
  • Dual AMD EPYC 9334 – 32 Cores @ 2.7 GHz (Zen 4)
    Processor
  • 128 GB DDR5 ECC Registered RAM – ultra-fast, resilient memory for AI inference and media workloads
    Memory
  • 2 × 960 GB NVMe SSD – high-speed storage for datasets, media, and low-latency application stacks
    Storage
  • 1 × NVIDIA L40S 48GB – Ada Lovelace architecture with Tensor/RT cores, ideal for GenAI, rendering, and ML inference pipelines
    GPU
  • 30 TB Premium Bandwidth @ 10 Gbps – high throughput for serving AI models and large data transfers
    Bandwidth
  • Hosted in Washington DC – Tier IV datacenter with low-latency global routing and redundant infrastructure
    Location
  • Tailored for AI inferencing, creative workflows, multimodal models, and compute-heavy design applications
    Use Case
  • PCIe Gen5 GPU bus, ready for CUDA 12, TensorRT, Omniverse, and other accelerated platforms
    Performance
  • Full root access with NVIDIA drivers and Docker/virtualization support
    Control
  • $2,499/month – high-performance L40S-enabled node for GPU-centric applications
    Pricing
  • 100 Gbps private network (intra-DC), 25 Gbps DDoS protection, and enterprise-grade SLA-backed hosting Infrastructure
DAM-EP-YC9334-WDC-32C27G-2H2GP
  • Dual AMD EPYC 9334 – 32 Cores @ 2.7 GHz (Zen 4)
    Processor
  • 128 GB DDR5 ECC Registered RAM – supports fast AI workflows and large model contexts
    Memory
  • 2 × 960 GB NVMe SSD – ultra-low latency for data streaming and checkpointing
    Storage
  • 2 × NVIDIA H200 80GB – 160GB total HBM3 VRAM, ideal for transformer-based LLMs, generative AI, and deep learning inference
    GPU
  • 30 TB Premium Bandwidth @ 10 Gbps – reliable transfer speeds for high-throughput pipelines
    Bandwidth
  • Hosted in Washington DC – Tier IV facility with exceptional uptime and East Coast connectivity
    Location
  • Built for fine-tuning large models, real-time AI inference, vector search, and GPU-accelerated data science
    Use Case
  • PCIe Gen5 + NVLink enabled architecture ensures fast GPU interconnect and optimal data flow
    Performance
  • Full root access with support for CUDA, cuDNN, PyTorch, TensorFlow, Triton Inference Server & Kubernetes
    Control
  • $7,829/month – high-density AI node with next-gen GPU power
    Pricing
  • Located in secure enterprise data center with 25 Gbps DDoS protection and 100 Gbps private interconnects Infrastructure
DAM-EP-YC9334-WDC-32C27G-2L4GP
  • Dual AMD EPYC 9334 – 32 Cores @ 2.7 GHz (Zen 4)
    Processor
  • 128 GB DDR5 ECC Registered RAM – high-speed memory for multi-threaded AI and visual compute
    Memory
  • 2 × 960 GB NVMe SSD – fast SSD storage for low-latency model access, datasets, and assets
    Storage
  • 2 × NVIDIA L40S 48GB – Ada Lovelace architecture with Tensor Cores, ideal for GenAI, rendering, simulation, and multi-GPU ML workloads
    GPU
  • 30 TB Premium Bandwidth @ 10 Gbps – ensures fast uploads, inference delivery, and API hosting
    Bandwidth
  • Hosted in Washington DC – Tier IV facility with redundant power, cooling, and ultra-low latency routing
    Location
  • Built for image generation, diffusion models, video synthesis, AR/VR pipelines, and advanced ML workloads
    Use Case
  • PCIe Gen5 and NVIDIA NVLink-ready architecture, optimized for scalable AI and GPU acceleration
    Performance
  • Full root access, pre-configured with support for CUDA, PyTorch, TensorFlow, and Omniverse workflows
    Control
  • $3,549/month – scalable dual-GPU platform for production-grade AI and media compute
    Pricing
  • 100 Gbps private network, 25 Gbps DDoS protection, and enterprise-grade network fabric Infrastructure
DAM-EP-YC9334-WDC-32C27G-3L4GP
  • Dual AMD EPYC 9334 – 32 Cores @ 2.7 GHz (Zen 4)
    Processor
  • 128 GB DDR5 ECC Registered RAM – supports high-throughput AI pipelines and rendering frameworks
    Memory
  • 2 × 960 GB NVMe SSD – ultra-fast disks for AI datasets, scratch storage, and media-intensive workloads
    Storage
  • 3 × NVIDIA L40S 48GB – Ada Lovelace GPUs with 144GB total VRAM for generative AI, 3D simulation, and ML inference
    GPU
  • 30 TB Premium Bandwidth @ 10 Gbps – robust network pipe for hybrid compute environments
    Bandwidth
  • Hosted in Washington DC – Tier IV certified data center with enterprise-grade uptime and peering
    Location
  • Optimized for video generation, multimodal inference, real-time ML APIs, Omniverse deployments, and AI-enhanced rendering
    Use Case
  • PCIe Gen5 architecture ensures high-speed GPU interconnect and minimal latency across workloads
    Performance
  • Full root access with NVIDIA AI Enterprise support; runs PyTorch, TensorFlow, Triton, Docker & Omniverse stacks
    Control
  • $4,649/month – balanced GPU power at an enterprise-friendly price point
    Pricing
  • 100 Gbps private fabric, 25 Gbps DDoS protection, redundant power + cooling, and 99.99% uptime SLA Infrastructure
DAM-EP-YC9334-WDC-32C27G-4L4GP
  • Dual AMD EPYC 9334 – 32 Cores @ 2.7 GHz (Zen 4)
    Processor
  • 128 GB DDR5 ECC Registered RAM – optimized for AI pipelines, rendering stacks, and containerized workloads
    Memory
  • 2 × 960 GB NVMe SSD – ultra-fast disk for dataset loading, media caching, and real-time compute
    Storage
  • 4 × NVIDIA L40S 48GB – Ada Lovelace architecture with 192GB total VRAM, ideal for generative AI, 3D rendering, and multi-modal inference
    GPU
  • 30 TB Premium Bandwidth @ 10 Gbps – scalable throughput for cloud-native and GPU-distributed systems
    Bandwidth
  • Hosted in Washington DC – Tier IV certified data center with low-latency East Coast peering
    Location
  • Built for AI inference clusters, render farms, video generation, computer vision, simulation, and VFX pipelines
    Use Case
  • PCIe Gen5 GPU connectivity with high frame buffer capacity for batch and real-time compute tasks
    Performance
  • Full root access, supports NVIDIA AI Enterprise, Omniverse, CUDA, PyTorch, and all major ML stacks
    Control
  • $5,729/month – best value for multi-GPU acceleration in production AI environments
    Pricing
  • 100 Gbps private fabric, 25 Gbps DDoS mitigation, and 99.99% uptime in a secure enterprise facility Infrastructure
DAM-EP-YC9224-WDC-24C25G-3H1GP
  • Dual AMD EPYC 9224 – 24 Cores @ 2.5 GHz (Zen 4)
    Processor
  • 128 GB DDR5 ECC Registered RAM – ideal for memory-intensive AI tasks and parallel operations
    Memory
  • 2 × 960 GB NVMe SSD – ultra-fast local disk for datasets, runtime files, and intermediate model weights
    Storage
  • 3 × NVIDIA H100 80GB – 240GB total VRAM (Hopper architecture), ideal for LLMs, generative AI, and scientific compute
    GPU
  • 30 TB Premium Bandwidth @ 10 Gbps – ample for training data pipelines and distributed workloads
    Bandwidth
  • Hosted in Washington DC – Tier IV certified facility with low-latency US backbone access
    Location
  • Ideal for multi-GPU training, model fine-tuning, AI inference farms, HPC environments, and ML research
    Use Case
  • PCIe Gen5 and NVLink capable platform for maximum GPU throughput and inter-GPU communication
    Performance
  • Full root access, supports CUDA, cuDNN, TensorFlow, PyTorch, JAX, and containerized GPU frameworks
    Control
  • $9,599/month – optimal balance of GPU density, price, and performance for demanding workloads
    Pricing
  • Hosted in a secure US East Coast data center with 25 Gbps DDoS protection and 100 Gbps private fabric Infrastructure