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Lambda·Cloud InstanceTo verify

Lambda Cloud (H100) — 1024GB / 4TB

A cloud instance built on the NVIDIA H100 80GB with about 80GB of memory usable for AI — here’s what it runs and how it fits a private AI Business OS.

Some details here are provisional (to-verify). Treat specs as approximate and verify against the manufacturer before relying on them or purchasing.

Configuration

AI memory
~80GB
Usable for models
~70.4GB
System RAM
1024GB
Storage
4TB
GPUs
Chip
NVIDIA H100 80GB

Compatible models

Open models graded for this exact configuration.

  • Qwen2.5 72B
    Qwen · ~72B · 128K ctx · Qwen License

    Fits at Q4_K_M (~44GB) with ~26.4GB headroom — about 1 concurrent instance.

    Q4_K_M · ~44GBRuns well
  • Llama 3.1 70B
    Llama · ~70B · 128K ctx · Llama Community License

    Fits at Q4_K_M (~42GB) with ~28.4GB headroom — about 1 concurrent instance.

    Q4_K_M · ~42GBRuns well
  • Llama 3.3 70B
    Llama · ~70B · 128K ctx · Llama Community License

    Fits at Q4_K_M (~42GB) with ~28.4GB headroom — about 1 concurrent instance.

    Q4_K_M · ~42GBRuns well
  • DeepSeek-R1 Distill Llama 70B
    DeepSeek · ~70B · 128K ctx · MIT

    Fits at Q4_K_M (~42GB) with ~28.4GB headroom — about 1 concurrent instance.

    Q4_K_M · ~42GBRuns well
  • Mixtral 8x7B (MoE)
    Mistral · ~47B · 32K ctx · Apache-2.0

    Fits at Q8_0 (~50GB) with ~20.4GB headroom — about 1 concurrent instance.

    Q8_0 · ~50GBRuns well
  • CodeLlama 34B
    CodeLlama · ~34B · 16K ctx · Llama Community License

    Fits at FP16 (~68GB) with ~2.4GB headroom — about 1 concurrent instance.

    FP16 · ~68GBRuns well
  • Qwen2.5 32B
    Qwen · ~32B · 128K ctx · Apache-2.0

    Fits at FP16 (~64GB) with ~6.4GB headroom — about 1 concurrent instance.

    FP16 · ~64GBRuns well
  • Qwen3 32B
    Qwen · ~32B · 128K ctx · Apache-2.0

    Fits at FP16 (~64GB) with ~6.4GB headroom — about 1 concurrent instance.

    FP16 · ~64GBRuns well

Other Lambda Cloud (H100) configurations →

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