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May 15th, 2025 14:01

AirgapAI + Dell Pro AI Studio - 100% Local AI for 1/10th the Cost and 78X Accuracy - Fully Integrated!

We are very excited about Dell Pro AI Studio (DPAIS) and the value it brings to our company and our customers. 

Our solution - AirgapAI - is a 100% Local platform of AI applications designed for the AI PC.

Because of our unique pricing model where AirgapAI is sold as a one-time perpetual license with an MSRP of $96 (Dell.com sells it for less!) - the need for a solution that can run fully isolated with no external dependencies is critical. We can keep the cost to the customer low because all of the AI happens locally on their own hardware.

Additionally the performance speed and efficiency from DPAIS makes it possible to bring our datacenter-based patented Blockify Data Ingestion technology that improves the accuracy of an LLM using RAG by 78X, to the local device!

DPAIS makes it easy for AirgapAI to leverage the Dell AI PC's NPU with the enterprise model management and deep hardware integrations to ensure easy compatibility on both Intel and Qualcomm chipsets.

Once the latest DPAIS installers were added it only required us setting the location of the AirgapAI LLM to be hitting the DPAIS localhost server and we were off to the races in just seconds!

Here's a link to a technical demo of the solution running on the NPU: http://video.iternal.ai/ffdb744ab103ed46f646757188fa2d42

Here's a link to a more detailed technical demo of the product: https://video.iternal.ai/b19be2e977cb2ca5f74a7806d7f08928 

We are very excited about the performance and power that AirgapAI brings to our application!

Here are the results we are seeing on Qualcomm:

Hardware Model Test Type Test Case Status Load Time (ms) Time to Start Response (ms) Prefill Characters/Second Input Tokens Input Tokens/Second Generation Time (ms) Decode Characters/Second Output Tokens Tokens/Second
os: Microsoft Windows 11 Pro DPAIS - phi3.5 contextSize summarize - 2048 (25%) Completed N/A 0.926 2121.179625 495 534.5572354 18.373 45.74061973 200 11.46328882
cpu: Snapdragon® X Elite - X1E80100 - Qualcomm® Oryon™ X Elite - X1E80100 - Qualcomm® Oryon™ DPAIS - phi3.5 contextSize summarize - 2048 (50%) Completed N/A 1.47 2722.845935 1007 685.0340136 22.205 47.94219926 249 12.00868097
npu: No DPAIS - phi3.5 contextSize summarize - 2048 (75%) Completed N/A 2.224 2723.034161 1519 683.0035971 30.104 46.05716253 321 11.51362984
memory: 31.57GB RAM DPAIS - phi3.5 contextSize summarize - 4096 (50%) Completed N/A 2.926 2768.706324 2031 694.1216678 60.546 39.03395729 563 9.770912877
GPU - 1: Qualcomm(R) Adreno(TM) X1-85 GPU DPAIS - phi3.5 contextSize summarize - 4096 (75%) Completed N/A 4.202 2902.689347 3055 727.0347454 43.077 45.17448516 439 11.2926045
VRAM - 1: 0 MB DPAIS - phi3.5 contextSize summarize - 8192 (50%) Completed N/A 5.683 2866.530784 4079 717.754707 22.921 41.89174292 181 10.50005801
DPAIS - phi3.5 contextSize createStory - 4096 (50%) Completed N/A 0.194 565.7568238 29 149.4845361 101.362 36.45468321 922 9.113553693

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153 Posts

May 20th, 2025 15:00

Thanks for posting your success John!  For anyone visiting DTW today they can find John demoing this great partnership at the Intel booth today at 11:30AM Event time.

The other story I would like to share is just how quickly John was able to get this done.  He emailed me around 4:50PM that he had started to deploy our private preview build.  Around 4:55 he emailed back that DPAIS was up and running.  Finally two or three minutes later he had already switched the configuration of his app to start using the local Phi model loaded by DPAIS.  

That is the textbook turnkey experience we're looking to enable with DPAIS and were so excited that all our planning and development got us where we expected to be.  

Thanks again John and enjoy your time at DTW 2025!

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May 21st, 2025 06:14

@Dell-StephenO​ / John, this is a great story to showcase the value of how quickly DPAIS can integrate into AI apps. Is it possible to show a video of the integration process? as you said, it's a mere 5 minutes!

Moderator

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153 Posts

May 30th, 2025 19:57

@raed_hijer​ Hey there!  As we digest from DTW 2025 we will be getting some videos and demonstrations online for everyone to see.  

For now, use cases will vary but if a customer is currently leveraging a cloud based AI resource and that resource is leveraging the OpenAI API stack it could be as simple as changing some code like below

From:

client = OpenAI(
base_url="https://your-custom-endpoint",
api_key="your-api-key",
)

To:

client = OpenAI(
    base_url="http://localhost:8553/v1/openai",
    api_key="dpais"
)


Some other examples of quick getting started examples are available at the following KB:

How to Get Started with Dell Pro AI Studio Using Code Samples

Finally some quick installation guides that will help you download and install DPAIS on supported Intel or Qualcomm devices.  

Intel x64 Chipsets

(edited)

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