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Qwen3.8-9B · IQ2_M

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NVIDIA Jetson AGX Orin 64GB64GBStrata v0.50L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3.8-9B (IQ2_M) on NVIDIA Jetson AGX Orin 64GB with Strata, contributed by 1 independent source platforms; metrics are averages of published measurements.

107.61 tok/s

Decode

Decode speed

409.38 tok/s

Prefill

Prefill speed

1.55 s

TTFT

Time to first token

11.93 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

2 days ago

Last verified

Performance

  1. vLLM · FP16 Decode 29.45 · Prefill 126.06 ·
  2. vLLM · Q5_K_M Decode 44.26 · Prefill 164.08 ·
  3. Strata · IQ2_M (current)Decode 107.61 · Prefill 409.38 ·
  4. vLLM · IQ3_S Decode 60.53 · Prefill 223.41 ·

Core figures

Decode (avg)
107.61 tok/s
Prefill (avg)
409.38 tok/s
TTFT (avg)
1.55 s
VRAM (avg)
11.93 GB
MTP acceptance rate
0.48
TTFB
0.86 GB
Power draw
56.5 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3.8-9B
Quantization
IQ2_M
Framework
Strata
Version
v0.50
Context length
4096 tokens
Batch size
512
GPU layers
15
Flash Attention
On

Hardware

Nominal and measured figures are shown side by side; whether it runs is the reader's call

GPU
NVIDIA Jetson AGX Orin 64GB
Nominal VRAM
64 GB
Measured VRAM (avg)
11.93 GB
OS
JetPack 6.0
Driver
NVIDIA L4T 36.3
CUDA
12.6
Power draw
56.5 W

Sources & evidence

1 measured records in total, each traceable to its original source

  1. L2 Cross-framework verifiedOtherOriginal link Verified on 2026-10-16

    v0.50 · JetPack 6.0 · CUDA 12.6 · 4096 ctx

    107.61 tok/s

    Decode

    409.38 tok/s

    Prefill

    1.55 s

    TTFT

    11.93 GB

    VRAM

    0.48

    MTP

    56.5 W

    Power draw

    L2 batch seed 2026-10-16: Strata on hw_id=76 running model_id=52 at IQ2_M