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AI and Rendering in North America

GPU-enabled servers for machine learning, 3D processing, and data-intensive tasks — supported by robust connectivity across North America.

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DAM-EP-YC7402-MON-24C28G-1A3GP
  • Dual AMD EPYC 7402 – 24 Cores @ 2.8 GHz (48 threads)
     Processor
  • NVIDIA A30 – 24 GB HBM2 – Tensor Core-optimized for deep learning, mixed-precision training, and real-time inference
    GPU
  • 128 GB DDR4 ECC Registered RAM – ideal for memory-bound AI/ML pipelines and virtualization
    Memory
  • 2 × 960 GB SSD – enterprise SSDs with RAID support for fast I/O and system integrity
    Storage
  • 30 TB Premium Bandwidth – perfect for AI APIs, model delivery, and batch processing
    Bandwidth
  • Hosted in Montreal – low-latency access across Canada and U.S. East Coast
    Location
  • Excellent for machine learning training, LLM inference, computer vision, analytics dashboards, and hybrid cloud-native compute
    Use Case
  • 48 CPU threads + A30 GPU = exceptional parallelism for AI workloads and scalable compute
    Performance
  • Full root access, pre-installed CUDA/cuDNN support, and compatibility with major ML frameworks
    Control
  • Tier III Montreal data center with 99.99% uptime SLA, redundant network/power, GPU-optimized configuration Infrastructure
DAM-EP-YC7413-MON-24C26G-1T4GP
  • Dual AMD EPYC 7413 – 24 Cores @ 2.65 GHz (48 threads)
    Processor
  • NVIDIA Tesla T4 – 16 GB GDDR6 (Turing) – optimized for AI inference, ML workloads, and GPU-accelerated applications
    GPU
  • 128 GB DDR4 ECC Registered RAM – high-capacity memory for multitasking and compute-intensive environments
    Memory
  • 2 × 960 GB SSD – enterprise SSDs with high IOPS and RAID support for speed and reliability
    Storage
  • 30 TB Premium Bandwidth – ideal for cloud workloads, APIs, and high-volume data transfers
    Bandwidth
  • Hosted in Montreal – optimal for Canadian hosting and low-latency East Coast U.S. delivery
    Location
  • Best for AI pipelines, data science models, cloud-native infrastructure, video processing, and backend compute
    Use Case
  • 48 CPU threads + NVIDIA T4 GPU provide strong hybrid compute acceleration
    Performance
  • Full root/admin access, preconfigured GPU drivers (CUDA/cuDNN) available
    Control
  • Tier III Montreal data center with 99.99% uptime SLA, redundant power/network, and GPU-optimized environment Infrastructure
DAM-EP-YC7543-MON-32C28G-1L40GP
  • Dual AMD EPYC 7543 – 32 Cores @ 2.8 GHz (64 threads)
    Processor
  • NVIDIA L40S – 48 GB GDDR6 – next-gen GPU designed for AI training, LLM inference, 3D rendering, and enterprise graphics acceleration
    GPU
  • 128 GB DDR4 ECC Registered RAM – ideal for demanding AI/ML workloads, container orchestration, and large memory datasets
    Memory
  • 2 × 960 GB SSD – enterprise-grade flash with RAID support for high-speed, fault-tolerant storage
    Storage
  • 30 TB Premium Bandwidth – suitable for model deployment, media workloads, and multi-tenant services
    Bandwidth
  • Hosted in Montreal – low-latency connectivity across Canada and U.S. East Coast
    Location
  • Built for generative AI, diffusion models, real-time rendering, LLMs, and GPU cloud services
    Use Case
  • 64 CPU threads + L40S GPU deliver industry-leading performance across AI, graphics, and compute domains
    Performance
  • Full root access, supports CUDA, cuDNN, TensorRT, OptiX, and enterprise rendering stacks
    Control
  • Tier III Montreal data center with 99.99% uptime SLA, redundant power & networking, GPU-ready architecture Infrastructure
DAM-EP-YC7543-MON-32C28G-1L4GP
  • Dual AMD EPYC 7543 – 32 Cores @ 2.8 GHz (64 threads)
    Processor
  • NVIDIA L4 – 24 GB GDDR6 – Designed for AI inference, video processing, and virtualized GPU workloads
    GPU
  • 128 GB DDR4 ECC Registered RAM – optimized for multitasking, training pipelines, and enterprise compute
    Memory
  • 2 × 960 GB SSD – enterprise SSDs with RAID support for low latency and high IOPS
    Storage
  • 30 TB Premium Bandwidth – ideal for hosting ML models, media streaming, and data processing
    Bandwidth
  • Hosted in Montreal – strategically placed for Canada and U.S. East Coast performance
    Location
  • Ideal for generative AI, LLM inference, deep learning, real-time video analytics, and cloud-native GPU compute
    Use Case
  • 64 CPU threads + NVIDIA L4 GPU for scalable hybrid acceleration across AI and enterprise workloads
    Performance
  • Full root access, NVIDIA CUDA, cuDNN, and TensorRT compatible – ready for frameworks like TensorFlow, PyTorch, and ONNX
    Control
  • Tier III Montreal data center with 99.99% uptime SLA, GPU-optimized networking, and redundant infrastructure Infrastructure
DIX-XX-4314XX-MON-16C23G-1A3GP
  • Dual Intel Xeon Gold 4314 – 16 Cores @ 2.3 GHz (32 threads)
    Processor
  • NVIDIA A30 – 24 GB HBM2 – ideal for AI training/inference, data analytics, and mixed-precision compute (Tensor Core support)
    GPU
  • 128 GB DDR4 ECC Registered RAM – robust for high-load applications and parallelized processing
    Memory
  • 2 × 960 GB SSD – enterprise SSDs with RAID support for high IOPS and OS resilience
    Storage
  • 30 TB Premium Bandwidth – suitable for ML pipelines, hosted models, and media streaming
    Bandwidth
  • Hosted in Montreal – ideal for Canadian clients and U.S. East Coast delivery
    Location
  • Designed for LLM inference, AI/ML workloads, model training, high-speed analytics, and containerized environments
    Use Case
  • Powerful CPU-GPU pairing with A30 Tensor Cores ensures advanced AI processing and scalable deployment
    Performance
  • Full root/admin access, with support for CUDA, cuDNN, and frameworks like TensorFlow, PyTorch, ONNX
    Control
  • Tier III Montreal data center with 99.99% uptime SLA, GPU-optimized infrastructure, redundant power/network, and security Infrastructure
DIX-XX-5218XX-MON-16C23G-1L4GP
  • Dual Intel Xeon Silver 5218 – 16 Cores @ 2.3 GHz (32 threads)
    Processor
  • NVIDIA Tesla T4 – 16 GB GDDR6 (Turing architecture) for AI inference, machine learning, and GPU compute
    GPU
  • 64 GB DDR4 ECC RAM – balanced for compute, hosting, and accelerated workloads
    Memory
  • 2 × 1 TB SATA – reliable storage with upgrade options and RAID support
    Storage
  • 30 TB Premium Bandwidth – suitable for compute jobs, data transfer, and application hosting
    Bandwidth
  • Hosted in Montreal – excellent peering for North America and Canadian cloud regions
    Location
  • Perfect for AI inference, TensorFlow/PyTorch models, data processing pipelines, and visualization tasks
    Use Case
  • CPU-GPU synergy delivers strong parallelism for edge AI, rendering, and compute-heavy workflows
    Performance
  • Full root/admin access with OS-level GPU driver support (CUDA, cuDNN, TensorRT)
    Control
  • Tier III Montreal data center with 99.99% uptime SLA, enterprise network, and GPU-ready environment Infrastructure
DIX-XX-5318YX-MON-24C21H-1T4GP
  • Dual Intel Xeon Gold 5318Y – 24 Cores @ 2.1 GHz (48 threads)
    Processor
  • NVIDIA Tesla T4 – 16 GB GDDR6 (Turing) – designed for AI inference, ML pipelines, and accelerated data processing
    GPU
  • 128 GB DDR4 ECC Registered RAM – ideal for high-memory data science and compute applications
    Memory
  • 2 × 960 GB SSD – enterprise-grade flash for fast I/O and app performance (RAID-capable)
    Storage
  • 30 TB Premium Bandwidth – excellent for model hosting, cloud-native stacks, and real-time APIs
    Bandwidth
  • Hosted in Montreal – ideal for Canada & low-latency U.S. East Coast access
    Location
  • Great for TensorFlow, PyTorch, LLM inference, analytics dashboards, media encoding, and GPU-accelerated workloads
    Use Case
  • 48 CPU threads + T4 GPU deliver exceptional parallelism and scalable acceleration
    Performance
  • Full root/admin access, CUDA-compatible OS support, and optional driver pre-installation
    Control
  • Tier III Montreal data center with 99.99% uptime SLA, redundant network, power, and advanced GPU-ready environment Infrastructure