vScaler, an opensource Private Cloud offering, built and designed by HPC
experts for HPC workloads, today announced the integration of SLURM with
GigaIO's FabreX offering within its Cloud platform, enabling elastic scaling of
PCI devices and true HPC disaggregation.
As the industry's first in-memory network, FabreX supports vScaler's private
cloud appliances for workloads such as deep learning, biotechnology and big
data analytics.
vScaler's Disaggregated (also known as ‘Composable') HPC solution is enabled by
FabreX's Cloud-class infrastructure platform, a PCIe network that allows users
to create rack-scale servers to drastically improve the utilisation rate of
expensive resources like GPUs and FPGAs as they can be reconfigured on the fly
as workflows change and evolve.
vScaler Chief Technology Officer, David Power comments "We've integrated
GigaIO's FabreX hardware into our private cloud product to allow our customer
dynamically reconfigure hardware in line with evolving user demands and
workloads. As people start to employ more AI tools and techniques, the
underlying requirements for hardware to accelerate those tools also evolves.
FabreX allows us provision resources to workloads so that we can run much more diverse
workloads on top of a core hardware platform".
"FabreX is based on an open architecture offering industry standard Redfish
APIs that make it easy to setup, and because we partner with top tier providers
like vScaler for seamless integration, we're delivering true cloud-class
orchestration and composition capabilities," said Alan Benjamin, CEO of GigaIO.
"vScaler's SLURM integration with FabreX enables end users to dynamically
compose their own infrastructure by reaching inside the rack to create servers
and resources in seconds, complete with leading security, access control and
provisioning features, to match the needs of today's workflows used in cloud
deployments while optimizing TCO."
The additional integration of the SLURM workload manager, an open-source job
scheduler for Linux and Unix-like kernels, means that vScaler Cloud users can
request traditional resources like memory and compute cores to be available for
jobs. Now, coupled with FabreX, users can now also specify PCI devices such as
NVMe or GPUs to be attached to cluster nodes when running and executing
specific workloads.
We recognise that traditionally when working with hardware suppliers it can
mean that users are left with a static configuration for their HPC
infrastructure, and that means that end users need to guess or estimate where
their hardware needs to be over the next 1-3 years as their use cases evolve.
With GigaIO and vScaler's elastic Cloud approach, users can add a pool of
movable resources into their overall architecture and then map those to the
devices as and when they are required.
Go here to
register for a vScaler demonstration.