BBrainOutput
AWS·Cloud InstanceTo verify

AWS EC2 (L40S) — 256GB / 2TB / 4×GPU

A cloud instance built on the NVIDIA L40S 48GB with about 192GB 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
~192GB
Usable for models
~169GB
System RAM
256GB
Storage
2TB
GPUs
Chip
NVIDIA L40S 48GB

Compatible models

Open models graded for this exact configuration.

  • Qwen3 235B-A22B (MoE)
    Qwen · ~235B · 128K ctx · Apache-2.0

    Fits at Q4_K_M (~130GB) with ~39GB headroom — about 1 concurrent instance.

    Q4_K_M · ~130GBRuns well
  • Qwen2.5 72B
    Qwen · ~72B · 128K ctx · Qwen License

    Fits at FP16 (~145GB) with ~24GB headroom — about 1 concurrent instance.

    FP16 · ~145GBRuns well
  • Llama 3.1 70B
    Llama · ~70B · 128K ctx · Llama Community License

    Fits at FP16 (~140GB) with ~29GB headroom — about 1 concurrent instance.

    FP16 · ~140GBRuns well
  • Llama 3.3 70B
    Llama · ~70B · 128K ctx · Llama Community License

    Fits at FP16 (~140GB) with ~29GB headroom — about 1 concurrent instance.

    FP16 · ~140GBRuns well
  • DeepSeek-R1 Distill Llama 70B
    DeepSeek · ~70B · 128K ctx · MIT

    Fits at FP16 (~140GB) with ~29GB headroom — about 1 concurrent instance.

    FP16 · ~140GBRuns well
  • Mixtral 8x7B (MoE)
    Mistral · ~47B · 32K ctx · Apache-2.0

    Fits at FP16 (~90GB) with ~79GB headroom — about 1 concurrent instance.

    FP16 · ~90GBRuns well
  • CodeLlama 34B
    CodeLlama · ~34B · 16K ctx · Llama Community License

    Fits at FP16 (~68GB) with ~101GB headroom — about 2 concurrent instances.

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

    Fits at FP16 (~64GB) with ~105GB headroom — about 2 concurrent instances.

    FP16 · ~64GBRuns well

Other AWS EC2 (L40S) configurations →

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Turn the AWS EC2 (L40S) into a private AI Business OS

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