Innodisk × Qualcomm · Edge AI Platform

Show Performance,
Spark Imagination.

Show Performance,
Spark Imagination.
run_demo.py pipeline.yaml README.md running on QCS9075
1
2
3
4
5
6
7
8
9
10
11
12
13
14
from iqs import Launcher

# one tag pulls, configures and runs
app = Launcher("iqs-vlm-demo")

app.source("/dev/video0")
app.model("qwen3-vl-4b", runtime="npu")

for frame, caption in app.stream():
    display(frame, caption)

# no model conversion. no chip code.
# first demo in ~10 minutes.
app.run()
$ iqs-launcher --autotag iqs-vlm-demo
✓ image pulled · qcs9075-npu
✓ camera /dev/video0 attached
✓ qwen3-vl-4b loaded on NPU
▶ streaming · 1080p

caption: "a person typing on a
laptop next to a coffee mug"
In partnership with Qualcomm INNODISK LOGO·01 LOGO·02 LOGO·03 LOGO·04 Qualcomm INNODISK LOGO·01 LOGO·02 LOGO·03 LOGO·04
01 / Why iQ-Studio

Multiple applications, running on real hardware — in minutes.

iQ-Studio deploys multiple ready-to-run applications — vision, generative AI, multi-stream processing — directly onto the hardware, so you can experience it quickly.

Diverse, ready-to-run applications. Vision, generative AI, multi-stream perception — pick an application and watch it run on real hardware, not a spec sheet. Browse the applications→
PICK AN APPLICATION
👁 VISION ▦ STREAMS ✦ GENAI
IT RUNS
Everything is already built. Models, pipelines and drivers come pre-integrated — so you can experience or demo an application right away, with nothing to assemble. Get started in minutes→
EVERYTHING INCLUDED
✓ MODELS ✓ PIPELINES ✓ DRIVERS
nothing left to assemble
READY TO DEMO
Backed by Innodisk’s hardware. Innodisk’s own peripherals work out of the box — starting with our industrial cameras, the most widely used today, with more of the lineup to follow. See the architecture→
INNODISK PERIPHERALS
INNODISK CAMERA EXEC-Q911
PLUG & PLAY
02 / Live output

Switch the application, watch the output.

Same board, same launcher. Only the tag changes.

iQS-VLM
iQS-Streampipe
iQS-QVADK
demo output · {{ modeChip }} {{ modeMeta }}
$ iqs-launcher --autotag {{ modeTag }} copy
{{ spec.k }} {{ spec.v }}
{{ modePageLabel }}
03 / Measured

Numbers, with their method attached.

EXMP-Q911 vs a leading GPU edge platform — same software architecture, same pipeline. Based on internal test methodology.

3.7× Throughput End-to-end FPS per channel at 9-channel 1080p — 28.41 vs 7.58 on the same software architecture.
28.4 sustained FPS per channel on EXMP-Q911 — near real-time from 1 to 9 channels.
30 fps 0.0
7.6 comparison Same software architecture on the comparison platform — falls off past 4 channels.
0.0
Lower power 30W at the 9-channel scenario, against 35W for the comparison platform in the same test.
30W EXMP-Q911 · 30W comparison · 35W
ChannelsRelativeEXMP-Q911comparisonEXMP-Q911ComparisonDelta
{{ row.label }} {{ row.us }} {{ row.them }} {{ row.delta }}
{{ methodNote }}· Based on internal test methodology Full benchmarks
04 / Architecture

From the Developer Hub down to the board.

The iQ-Studio software stack on Innodisk Qualcomm Dragonwing platforms.

QualcommSupportedPlanned
DEVELOPER ECOSYSTEM
Developer Hub
Explore Documentation & Resources
public
iQ-Club
Articles and discussion
public
LinkedInNewsDiscord
DEMOS
iQ-Streampipe
Multi-stream video pipeline · Demo now, open source soon
public
CV InferenceStreamingBenchmarkMulti-channel
iQ-VLM
Vision-language models
public
StreamingChatAgent AI
DEVELOPMENT TOOLS
iQ-Foundry
Model quantization and on-device validation
public
CV MODEL
Object DetectionSegmentationPose EstimationClassification
PRECISION
INT8W8A16FP16
SUPPORT
TFLiteONNXQNN
SDKs
Qualcomm SDKs
MULTIMEDIA
AI RUNTIME
GEN AI
ROBOTICS
PLATFORM SOFTWARE
iQ-CAM
Camera drivers
MIPIGMSLAVL
iQ-OTA
Firmware and OS update
CapsuleOSTreeSecure Boot
OPERATING SYSTEM
iQ-Meta
Board support package
BSP SUPPORT
YoctoUbuntuAndroidWindows
CRA
SBOMCVE
Qualcomm Linux
HARDWARE
IQ9 · EXEC-Q911 · IQ-9075 IQ8 · EXEC-Q801 · IQ-8275 IQ10 IQ-X · APEX-A300 · EXDU-QX11
05 / Platforms

Your demo travels with you.

The same launcher tag gives the same result on any supported board — iQ-Studio carries the whole stack with it.

Run it on your desk today, ship it inside your product tomorrow — no porting, no rebuild, one Qualcomm SoC underneath.
Runs on EXEC-Q911 EXMP-Q911 APEX-A100 · soon Full hardware specs
Point the launcher at your board. First demo running in about ten minutes — no cloud, no chip-level code.
Get Started→