According to a 2019 Accenture report, companies strategically scaling AI have nearly 2X the success rate and 3X the return. But where to start, how to maximize the return on AI investments, and how to scale are challenges for many. To guide their AI transformation journey, many enterprises have turned to the experience and expertise of NVIDIA DGXperts.
Owning an NVIDIA DGX™ system gets you direct access to an NVIDIA DGXpert. DGXperts are AI-fluent practitioners who have built a wealth of experience over the last decade to offer prescriptive guidance and expertise to help fast-track AI transformation.
Get quick answers from experts with AI implementation know-how.
Get advice on how to evolve your environments and leverage leading-edge innovations.
Insights from DGX SATURNV, DGX system testing, and access to workload-focused trainings.
For additional resources, check out Introduction to AI in the Data Center, the course designed for IT professionals from the NVIDIA Deep Learning Institute.
NVIDIA Enterprise Support (NVES) is your portal to NVIDIA DGXperts.
Learn more about the relationship and service you can get.
90 Minutes
from unboxing to creating AI workloads
A healthcare provider went from unboxing to creating AI workloads in 90 minutes. This included resolving issues that are common when integrating new hardware into the data center, such as network configuration, shared volume configuration, and network security privileges for Docker.
120X
faster model training after a code rewrite
The world's oldest and largest private cancer center was taking 2.5 days to train a simple model on their DGX system. Our NVIDIA DGXpert rewrote their code, which ran in 29 minutes, a 120X improvement in training time.
6X
better performance using the latest NVIDIA optimizations
A global technology firm specializing in digital media saw 1.5X faster training on DGX-optimized TensorFlow compared to their home-grown, “optimized” TensorFlow software stack. Two years later, using the same hardware and the latest NVIDIA optimizations, they saw an additional 4X more performance.
3 Weeks
to a solution to address a misbehaving application
An application software company experienced slow performance on their MXNET code. Within two days, our NVIDIA DGXpert identified it as a problem with MXNET and provided a workaround. Within two weeks, we pushed updated MXNET code, and one week later, a patch release came out, which resulted in 3X faster performance.
Solution Architect Manager
Solution Architect Manager
Senior Solution Architect
Senior Solution Architect