Our experts can assist you to identify which use cases best match your organization and desired solutions. Then recreate a successful, already proven method.
Our experts can help you identify infrastructure deficiencies and business problems that we can help alleviate.
Next, you need to assess the potential business and financial value of the various possible AI implementations you’ve identified. Tie your initiatives directly to business value.
Do you have the talented resources to achieve what you want to accomplish in a given time frame? Addressing your internal capability gap means identifying what you need to acquire and any processes that need to be internally evolved before you get going.
Whether you need a DGX station or a DGX-2, we can accelerate your project with a certified optimal build and an installation anywhere in Canada. Our experts can assist you by choosing and integrating the perfect NVIDIA DGX system to suit your needs. We even got a demo program.
Now that your business is ready from an organizational and tech standpoint, then it’s time to start building and integrating. You can start with a 2-3 months pilot project managed by a small team of 5 internal and external people. After the pilot period is done, you’ll have more information to decide is a more elaborated project or is the value proposition makes sense for your business.
The more data you have, the better. New deep learning networks depend on it, and complex models need more data than simple ones. But clean data will make a much better job.
Therefore, an important step to obtain high-quality data would be to form a cross-business unit taskforce to integrate different data sets together and put out inconsistencies.
It’s gonna be more efficient to choose a specific problem you want to solve, focus the AI to answer that specific question and don’t throw all the data at it.
With the DGX Systems, you don’t have to worry at all even with huge volumes of data. DGX systems include fast and optimized storage that are conceived to ingest huge amount of data.
Some team members may be concerned about the arrival of AI. Be transparent about the issues targeted to be resolved. If they can visualize how AI is gonna help them, they’ll be more receptive.
Build the entire system with balance. While it’s important to design your AI system about achieving its desired goals, don’t forget to get expertise that understands the requirements and limitations of the hardware and software that would support the research.
Our experts will advise you regarding the bandwidth for storage, the graphics processing unit (GPU), networking and security. They will guide you to build with flexibility to allow repurposing of hardware as your users requirements will change.
We are Elite Partner certified in the NVIDIA DGX, NVIDIA Quadro® and NVIDIA® Tesla® competencies.