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Embedding · vGPU-32GB · 32 GB

1 model with qualified results. Speeds compare only within one exact test; use “Same test on other GPUs” to compare hardware.

  1. embeddinggemma-2

    google · 5 tested configurations

    • bf16 · Text → Vectors · embedding-mteb-tasks-v1 · Test duration 9 s
      Throughput · Batch 1
      251vectors/sec
      Best measured · Batch 16
      2,710vectors/sec
      Observed GPU occupancy
      1GiB
      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 2.13.0+cu130
      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
      B1251.114 ms—1.0599.41f489c748 ↗
      B4924.834 ms—1.05111.51f489c748 ↗
      B162,710.196 ms—1.05114.91f489c748 ↗
    • 4 other test configurations on this GPU
      • bf16 · Text → Vectors · embedding-sanity-v1 · Test duration 6 s
        Throughput · Batch 1
        38.3vectors/sec
        Best measured · Batch 4
        139vectors/sec
        Observed GPU occupancy
        0.8GiB
        P95 latency
        31 ms
        Test details · 2 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 2.13.0+cu130
        Protocol
        native-forward-v1
        Dataset
        embedding-sanity-v1
        Workload
        embedding
        Batch sizeMean throughput (vectors/sec)P95TTFTObserved occupancy (GiB)GPU power (W)Reports combinedView report
        B138.3331 ms—0.8250.542c17d254 ↗
        B4138.6433 ms—0.8254.242c17d254 ↗
      • bf16 · Text → Vectors · embedding-sanity-v1 · Test duration 12 s
        Throughput · Batch 1
        38.8vectors/sec
        Best measured · Batch 64
        1,766vectors/sec
        Observed GPU occupancy
        0.8GiB
        P95 latency
        27 ms
        Test details · 4 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 2.13.0+cu130
        Protocol
        native-forward-v1
        Dataset
        embedding-sanity-v1
        Workload
        embedding
        Batch sizeMean throughput (vectors/sec)P95TTFTObserved occupancy (GiB)GPU power (W)Reports combinedView report
        B138.827 ms—0.8248.81dc5960cd ↗
        B4141.6529 ms—0.8252.41dc5960cd ↗
        B16553.5430 ms—0.8756.41dc5960cd ↗
        B641,766.4738 ms—1.0365.31dc5960cd ↗
      • bf16 · Text → Vectors · embedding-sanity-v1 · Test duration 6 s
        Throughput · Batch 1
        38.3vectors/sec
        Best measured · Batch 4
        138vectors/sec
        Observed GPU occupancy
        0.8GiB
        P95 latency
        32 ms
        Test details · 2 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
        Protocol
        native-forward-v1
        Dataset
        embedding-sanity-v1
        Workload
        embedding
        Batch sizeMean throughput (vectors/sec)P95TTFTObserved occupancy (GiB)GPU power (W)Reports combinedView report
        B138.2732 ms—0.8248.6147f71b64 ↗
        B4137.8235 ms—0.8251.9147f71b64 ↗
      • bf16 · Text → Vectors · embedding-sanity-v1
        Throughput · Batch 1
        39.4vectors/sec
        Best measured · Batch 4
        120vectors/sec
        Observed GPU occupancy
        Not recorded
        P95 latency
        26 ms
        Test details · 2 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
        Protocol
        native-forward-v1
        Dataset
        embedding-sanity-v1
        Workload
        embedding
        Batch sizeMean throughput (vectors/sec)P95TTFTObserved occupancy (GiB)GPU power (W)Reports combinedView report
        B139.426 ms———12c97c869 ↗
        B4119.8544 ms———12c97c869 ↗

Models shown: 1 / 1

Recipe availability is checked on each report against the published recipe executor.

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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No benchmarks are currently reported as running.

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