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Embedding · L4 · 24 GB

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Measured alternatives on other GPUs

Measured on different GPUs with the same or smaller listed capacity. These are references for choosing hardware, not performance or compatibility evidence for your selected GPU.

  1. Qwen3-Embedding-0.6B

    Qwen · 1 tested configuration · 1 GPU

    • RTX 4090 · 24 GBfp16 · Text → Vectors · embedding-mteb-tasks-v1 · Test duration 90 s
      Throughput · Batch 1
      259vectors/sec
      Best measured · Batch 16
      2,018vectors/sec
      Observed GPU occupancy
      1.8GiB
      P95 latency
      4 ms
      Test details · 3 batch sizes

      Occupancy includes engine buffers and reserved KV cache. It is not the minimum VRAM required by the model.

      Reports combined counts reports, not inference requests. Request successes and failures are listed in each report.

      Engine
      sentence-transformers · PyTorch 2.12.1+cu126
      Protocol
      native-forward-v1
      Dataset
      embedding-mteb-tasks-v1
      Workload
      embedding
      Batch sizeMean throughput (vectors/sec)P95TTFTObserved occupancy (GiB)GPU power (W)Reports combinedView report
      B1258.524 ms—1.84151.613ba3d2cb ↗
      B4921.444 ms—1.84159.513ba3d2cb ↗
      B162,017.748 ms—1.8413313ba3d2cb ↗

Occupancy includes engine buffers and reserved KV cache. It is not the minimum VRAM required by the model.

Measured hardware

15 more GPUs without qualified results for this task

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Running benchmarks

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RTX PRO 6000 Blackwell Server Edition · 96 GB · 403 queued · 0 running · 0 awaiting reassignment · 6 succeeded · 3 failed or exhausted

L4 · 24 GB · 91 queued · 0 running · 0 awaiting reassignment · 22 succeeded · 7 failed or exhausted

T4 · 16 GB · 22 queued · 0 running · 0 awaiting reassignment · 3 succeeded · 8 failed or exhausted