Standalone

Individual GPU machines provide direct hardware access for training, inference, data processing, and research workloads. Standalone systems offer maximum flexibility and performance without orchestration overhead.

Access

  • ✓
    Console, dashboard, CLI and/or API available to manage resources
  • ✓
    SSH key upload and management
  • ✓
    Root/sudo access available on the system
  • ✓
    API automation support for provisioning and management
  • ✓
    Snapshot and image curation capabilities

Configuration

  • ✓
    NVIDIA Container Toolkit with Docker (NVIDIA systems)NVIDIA Container Toolkit
  • ✓
    ROCm Container Toolkit with --gpus=all support (AMD systems)ROCm install guide
  • ✓
    Container performance optimization (import, execution, pull speeds)
  • ✓
    PyTorch and AI framework readiness validation
  • ✓
    Native drivers and CUDA/ROCm toolkits installed
  • ✓
    Custom driver installation supported
  • ✓
    Essential packages available: python, git, curl, wget, apt, vim, nano

Hardware Support

  • ✓
    NVIDIA: H100/H200/B200, A100, L40S, RTX 6000 Pro
  • ✓
    AMD: MI300X, MI325X, MI355X (when available)
  • ✓
    Flexible billing granularity (second, minute, hour, day)
  • ✓
    External storage and network egress cost transparency
  • ✓
    Spot instances available
  • ✓
    Multi-node interconnects supported

Monitoring and Health Checks

  • ✓
    nvidia-smi, DCGM, or AMD equivalents with full metrics accessDCGM docs
  • ✓
    GPU clocking, power management, and thermal monitoring
  • ✓
    ncu (Nsight Compute) usable with hardware counters accessible. Needs NVreg_RestrictProfilingToAdminUsers=0 on the host (containers also need --cap-add=SYS_ADMIN), otherwise ERR_NVGPUCTRPERM. A full GPU rental should include full profiling access, bare metal, VM, or container.Fixing ERR_NVGPUCTRPERM
  • ✓
    perf top / perf stat usable for CPU-side profiling without root: perf_event_paranoid <= 1 and kptr_restrict = 0.perf security docs
  • ✓
    Integration with health check systems
  • ✓
    Integration with monitoring tools

Networking and Storage

  • ✓
    InfiniBand/RDMA configuration and testingRDMA perftest
  • ✓
    NVMe direct access with multiple filesystem support
  • ✓
    Storage performance benchmarking
  • ✓
    Bandwidth testing and NCCL validationnccl-tests
  • ✓
    Interconnect optimization

Security

  • ✓
    BMC/IPMI restriction and security validation
  • ✓
    Firewall management
  • ✓
    Audit logging
  • ✓
    Container Toolkit vulnerability assessmentNVIDIA Container Toolkit CVE-2024-0132
  • ✓
    CVE compliance verification
  • ✓
    Isolation options: bare metal, VM-based, container-based, or hybrid

General Expectations

  • ✓
    Console, dashboard, CLI and/or API available to manage resources
  • ✓
    24x7 support availability
  • ✓
    Process for security fixes and upgrades exists, proactive notifications are clear
  • ✓
    Integration with comprehensive monitoring and alerting systems
  • ✓
    Integration with active and passive health check systems

All expectations