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AI & Compute Hosting in Asia

Servers with powerful NVIDIA GPUs — excellent for ML workloads, visual rendering, and inference systems in Southeast Asia.

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DAM-EP-YC7413-SGP-24C26G-1L4GP
  • Dual AMD EPYC 7413 – 24 Cores @ 2.65 GHz (48 Threads)
     Processor
  • 128 GB DDR4 ECC Registered RAM – built for memory-heavy parallel compute and AI model deployment
    Memory
  • 1 × NVIDIA L40S – 48 GB GDDR6, optimized for AI inference, ML training, and 3D rendering
    GPU
  • 2 × 960 GB SSD – enterprise-grade NVMe SSDs for high-speed data access
    Storage
  • 30 TB Premium Bandwidth – supports GPU-driven workloads, training pipelines, and media processing
    Bandwidth
  • Hosted in Singapore – ideal for APAC latency-sensitive AI applications
    Location
  • Perfect for machine learning, computer vision, VFX pipelines, simulation, and high-throughput computing
    Use Case
  • Zen 3 CPU + Ada Lovelace GPU architecture delivers balanced CPU-GPU acceleration
    Performance
  • Full root access with OS and GPU driver flexibility, Docker and virtualization-ready
    Control
  • Tier III+ Singapore data center with 99.99% uptime SLA, redundant cooling and power, and Tier 1 connectivity Infrastructure
DAM-EP-YC7543-SGP-32C28G-1L4GP
  • Dual AMD EPYC 7543 – 32 Cores @ 2.8 GHz (64 Threads)
    Processor
  • 128 GB DDR4 ECC Registered RAM – ideal for multi-threaded AI pipelines and memory-bound compute
    Memory
  • 1 × NVIDIA L40S – 48 GB GDDR6, Ada Lovelace architecture for deep learning, inference, and graphics acceleration
    GPU
  • 2 × 960 GB SSD – enterprise NVMe drives with RAID support for ultra-fast I/O
    Storage
  • 30 TB Premium Bandwidth – optimized for AI training, simulation, and media rendering workloads
    Bandwidth
  • Hosted in Singapore – low-latency access for Southeast Asia, Oceania, and India
    Location
  • Perfect for LLM inference, ML training, 3D graphics, media pipelines, and scientific computing
    Use Case
  • Zen 3 EPYC CPUs combined with L40S GPU for balanced and scalable compute+graphics tasks
    Performance
  • Full root/admin access, OS flexibility, Docker/Kubernetes ready with GPU passthrough support
    Control
  • Tier III+ Singapore data center with 99.99% SLA, redundant power/cooling, and Tier 1 global connectivity Infrastructure
DIX-E5-2650V4-SGP-12C22G-1T4GP
  • Dual Intel Xeon E5-2650v4 – 12 Cores @ 2.2 GHz (24 Threads)
    Processor
  • 64 GB DDR4 ECC Registered RAM – sufficient for machine learning workloads, inference, and container stacks
    Memory
  • NVIDIA T4 – 16 GB GDDR6 – optimized for inference, video transcoding, and edge AI
    GPU
  • 2 × 480 GB SSD – fast system and dataset storage with RAID option
    Storage
  • 30 TB Premium Bandwidth – suitable for model training traffic, APIs, and regional data delivery
    Bandwidth
  • Hosted in Singapore – ideal for Southeast Asia, Australia, India, and APAC performance
    Location
  • Perfect for AI/ML inference, lightweight model deployment, media processing, and GPU-accelerated applications
    Use Case
  • Balanced CPU/GPU combo with ECC memory ensures stability and compute consistency
    Performance
  • Full root access, CUDA/driver-ready OS, with optional Docker or ML frameworks
    Control
  • Tier III+ Singapore data center with 99.99% uptime SLA, redundant power, and network Infrastructure