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Frequently asked questions

• What is the best AI workstation in Malaysia for on-prem inference?

  For most Malaysian teams, the NVIDIA DGX Spark is a good starting point — a desk-side personal AI supercomputer with NVIDIA GB10 Grace Blackwell, 128 GB unified memory, and the full DGX OS stack pre-installed. It runs 7B–70B models locally with low latency. For departments or production, the AI PRO 500 (multi-GPU pedestal, up to 4 GPUs) or EMARQUE AI Server (4U rackmount, up to 8 NVLink H200 GPUs) are next steps.
• Should I buy an on-prem AI server or use cloud AI in Malaysia?

  Buy on-prem if you have steady inference (chat, RAG, agents, batch jobs), data that must stay inside your network, or workloads that grow faster than cloud per-token pricing fits. Use cloud for short, spiky experiments. Most teams in Malaysia find a single AI PRO 500 pays back in 12 to 18 months versus equivalent cloud GPU rental — no egress fees, no per-token surprises.
• Which GPUs and CPUs are recommended for an on-prem AI system?

  GPUs: NVIDIA RTX 5090 (32 GB) for individual / small-team use, RTX 6000 Ada / 5090 multi-GPU for departments, and H200 / B200 NVLink for production training and large models. CPUs: AMD Ryzen 9 9950X for towers, Threadripper PRO or Intel Xeon W for multi-GPU pedestals, and dual EPYC or Xeon Scalable for rackmount. EMARQUE validates every combination for thermals, power, and airflow before shipping.
• Can an AI workstation run major LLM models locally?

  Yes. EMARQUE workstations are tuned to run OpenAI GPT-OSS (20B and 120B), Meta Llama 3 / 3.1 / 3.2 / 3.3 (1B–90B), and the DeepSeek family (R1, Coder, Math, V3 Chat) locally. We pre-load the runtime (Ollama, vLLM, or your stack of choice) and validate tokens-per-second on your real prompts before delivery, with a benchmark report.
• What OS and networking are ideal for an on-prem AI build in Malaysia?

  Most teams run Ubuntu 24.04 LTS for the Linux toolchain and CUDA support; Windows 11 Pro is also supported when your workflow requires it. For networking, 10 GbE is standard on AI PRO 500 and above; EMARQUE AI Server supports 25 / 100 GbE with optional RDMA for multi-node setups. We can ship default-deny outbound firewall rules and air-gapped configurations on request.