NEWS IN BRIEF
19
Emtelle completes land purchase to expand facilities
Emtelle has acquired 16,000sqm of land
located adjacent to its manufacturing plant
in Erfurt, Germany.
The news follows the manufacturer’s recent
investment in its production capabilities with the
purchase of two new extrusion lines at the Erfurt
manufacturing facility. This latest investment
from Emtelle allows for further options of
increased manufacturing capacity, increased
stock capabilities whilst expanding product
testing and customer training facilities.
These developments will ultimately strengthen
the company’s full offering and enable Emtelle to
better serve the global growing demand.
With manufacturing facilities in Germany,
Denmark and Scotland, Emtelle is already wellplaced
to supply reliable, high quality fibre and
ducted network solutions to over 100 countries
across the globe. The new land acquisition
further emphasises this and enhances the focus
that Emtelle holds on continuously improving
service to customers both in the German and
global markets.
Emtelle Group CEO, Tony Rodgers commented:
“As leaders in our field, it is important that we
have the space to grow. Acquiring this land
means we can do just that. The German market
is a growing market for us, so it is imperative we
continue to invest and expand our capabilities at
our Erfurt factory. This additional land purchase
allows us to enhance our facilities, so we remain
at the forefront of the FTTXindustry."
Since its inception, Emtelle has developed
innovative blown fibre and ducted network
solutions that allow for a more simple, efficient
installation with minimal disruption to effectively
connect premises worldwide. This land acquisition
follows the progression from Emtelle’s recent
investment of more than €30 million in its
European factories from 2017 when the
acquisition of Moore GmbH took place. n
Supermicro expands portfolio with fully integrated NVIDIA
A100 GPU-powered systems
Supermicro Computer has announced two new
systems designed for artificial intelligence
(AI) deep learning applications that fully
leverage the third-generation NVIDIA
HGX technology with the new
NVIDIA A100 Tensor Core GPUs
as well as full support for the
new NVIDIA A100 GPUs
across the company’s broad
portfolio of 1U, 2U, 4U and
10U GPU servers. NVIDIA
A100 is the first elastic,
multi-instance GPU that
unifies training, inference, HPC,
and analytics.
“Expanding upon our industry-leading portfolio of GPU systems and
NVIDIA HGX-2 system technology, Supermicro is introducing a new 2U
system implementing the new NVIDIA HGX A100 4 GPU board (formerly
codenamed Redstone) and a new 4U system based on the new NVIDIA HGX
A100 8 GPU board (formerly codenamed Delta) delivering 5 PetaFLOPS of AI
performance,” said Charles Liang, CEO and president of Supermicro. “As GPU
accelerated computing evolves and continues to transform data centres,
Supermicro will provide customers the very latest system advancements to
help them achieve maximum acceleration at every scale while optimising
GPU utilisation. These new systems will significantly boost performance on
all accelerated workloads for HPC, data analytics, deep learning training and
deep learning inference.”
As a balanced data centre platform for HPC and AI applications,
Supermicro’s new 2U system leverages the NVIDIA HGX A100 4 GPU board
with four direct-attached NVIDIA A100 Tensor Core GPUs using PCI-E 4.0
for maximum performance and NVIDIA NVLink for high-speed GPU-to-GPU
interconnects. This advanced GPU system accelerates compute, networking
and storage performance with support for one PCI-E 4.0 x8 and up to four
PCI-E 4.0 x16 expansion slots for GPUDirect RDMA high-speed network
cards and storage such as InfiniBand HDR, which supports up to 200Gb per
second bandwidth.
“AI models are exploding in complexity as they take on next-level
challenges such as accurate conversational AI, deep recommender systems
and personalised medicine,” said Ian Buck, general manager and VP of
accelerated computing at NVIDIA. “By implementing the NVIDIA HGX A100
platform into their new servers, Supermicro provides customers the powerful
performance and massive scalability that enable researchers to train the
most complex AI networks at unprecedented speed.”
Optimised for AI and machine learning, Supermicro’s new 4U system
supports eight A100 Tensor Core GPUs. The 4U form factor with eight GPUs
is ideal for customers that want to scale their deployment as their processing
requirements expand. The new 4U system will have one NVIDIA HGX
A100 8 GPU board with eight A100 GPUs all-to-all connected with NVIDIA
NVSwitch for up to 600GB per second GPU-to-GPU bandwidth and eight
expansion slots for GPUDirect RDMA high-speed network cards. Ideal for
deep learning training, data centres can use this scale-up platform to create
next-gen AI and maximise data scientists’ productivity with support for ten
x16 expansion slots.
Customers can expect a significant performance boost across
Supermicro’s extensive portfolio of 1U, 2U, 4U and 10U multi-GPU servers
when they are equipped with the new NVIDIA A100 GPUs. For maximum
acceleration, Supermicro’s new A+ GPU system supports up to eight fullheight
double-wide (or single-wide) GPUs via direct-attach PCI-E 4.0 x16
CPU-to-GPU lanes without any PCI-E switch for the lowest latency and
highest bandwidth.
The system also supports up to three additional high-performance
PCI-E 4.0 expansion slots for a variety of uses, including high-performance
networking connectivity up to 100G. An additional AIOM slot supports a
Supermicro AIOM card or an OCP 3.0 mezzanine card. n
www.networkseuropemagazine.com