IBM, NVIDIA Tackle AI Workloads
December 14, 2018
A deluge of data is fueling AI innovation. It’s a trend that shows no
sign of slowing.
As organizations in every industry around the globe attempt to
streamline their data pipelines and maximize data science productivity,
one challenge looms large: implementing AI initiatives effectively.
This is where IBM SpectrumAI with NVIDIA DGX comes in.
At the core of data science productivity is the infrastructure and
software used for building and training machine learning and deep
With IBM and NVIDIA’s new converged infrastructure offering,
organizations can take advantage of integrated compute, storage and
networking. It’s the latest systems and software to support the complete
lifecycle of AI — from data preparation to training to inference.
IBM SpectrumAI with NVIDIA DGX is built on:
•IBM Spectrum Scale v5:
Software-defined to streamline data movement through the AI data
•NVIDIA DGX-1 servers:
Purpose-built for AI and machine learning
•NVIDIA DGX software stack:
Optimized for maximum GPU training performance
•Proven data performance: Over
100GB/s throughput, supporting up to nine DGX-1 servers in a single rack
IBM SpectrumAI with NVIDIA DGX helps businesses deploy AI infrastructure
quickly, efficiently and with top-tier performance — and it’s easier for
IT teams to manage.
It’s the latest addition to our NVIDIA DGX-1 Reference Architecture
lineup, which includes data center solutions from select storage
The solutions help enterprises and
their data science teams:
•Focus on innovation, research and
transforming the world through their AI initiatives.
•Minimize the design complexities
behind architectures optimized for AI workloads.
•Effortlessly scale AI workloads
with predictable performance that’s also cost effective.
IBM software-defined storage offers performance, flexibility and
extensibility for the AI data pipeline. NVIDIA DGX-1 provides the
fastest path to machine learning and deep learning. Pairing the two
results in an integrated, turnkey AI infrastructure solution with proven
productivity, agility and scalability.