Diamanti today
announced the availability of the first enterprise platform with GPU support
for running containerized workloads under Kubernetes, ideal for the demanding
requirements of emerging artificial intelligence (AI) and machine learning (ML)
applications. In conjunction with its recent announcement of
Diamanti Spektra, customers can now provide to their end users GPU
capacity in cloud clusters for scaling AI/ML workloads on premises out to
public clouds to accelerate model development and training.
"AI is quickly
proving to be the most disruptive set of new technologies in decades thanks to
breathtaking advances in computing power, volume, velocity and variety of
data," said Tom Barton, CEO of Diamanti. "Our platform offers unmatched
extensibility and flexibility for containerized workloads and now our customers
can add GPU support for a heterogeneous environment under the same Kubernetes
umbrella to help with even the most demanding AI/ML requirements."
Market analyst
firm Gartner Inc. predicts ("Forecast: The Business Value of Artificial Intelligence,
Worldwide, 2017-2025") that artificial intelligence technology will
drive industry business value of more than $1.9 trillion by the end of this
year, up 62 percent from the year before.
The new
Diamanti platform for AI/ML workloads fully supports Nvidia's NVLink cross
connect GPU card technology for higher performing workloads, as well as
Kubeflow, a machine learning framework for Kubernetes that provides
highly-available Jupyter notebooks and ML pipelines.
"Cloud-native
methodology and software are crossing over with AI and machine learning, with
Kubernetes an increasingly attractive option for data scientists to orchestrate
the distributed architecture required to run multiple machine learning
libraries and frameworks in production at scale," said Matt Aslett, Research
Vice President, 451 Research. "One key use case across several verticals
involves infrastructure that can be quickly spun up or down to support massive
simulations."
Early access
Diamanti customers are already benefiting from the new platform support for
GPUs in industries as varied as financial services, energy and travel, among
others.
"Diamanti
helps our customers accelerate their strategic AI and HPC computing initiatives
with a powerful and flexible platform leveraging the unique capabilities of
Kubernetes for containerized workloads," said Erik Melander, CEO of Astellent,
a San Francisco-based systems integration company specializing in containers
and AI. "GPU support increases the value of Kubernetes by improving the
performance of both AI and high-performance computing workloads."
For AI/ML
applications requiring GPUs, the new Diamanti Spektra solution can also now
manage the full lifecycle of containerized workloads across on-premises and
public clouds, moving applications and data between Kubernetes clusters as
necessary. Diamanti Spektra combines the power of Diamanti's
hardware-accelerated x86 platform along with cloud-based infrastructure to
provide Kubernetes-as-a-Service. Diamanti Spektra is in technology
preview. If interested in participating, please visit https://diamanti.com/product/beta/ to register.