Atos unveils the BullSequana SH server for secure, carbon-efficient, hybrid computing and BullSequana EX series for trusted AI applications at the edge
11 Janvier 2023 - 2:00PM
Atos unveils the BullSequana SH server for secure,
carbon-efficient, hybrid computing and BullSequana EX series for
trusted AI applications at the edge
Paris, France
– January 11
2023 – Atos today launches its
new hybrid server, the BullSequana SH powered by 4th Gen Intel®
Xeon® Scalable processors, and two new edge servers, the
BullSequana EXR and the BullSequana EXD, to help businesses address
AI and analytics challenges in the face of today’s vast data
growth.
Over 180 Zettabytes of data are projected to
be generated by 20251, however most of the current infrastructures
are not designed to support this amount of data. Additionally, 63%
of organizations do not place their mission-critical workloads on
public clouds2 but rather rely on hybrid computing to run their
workloads on private clouds and edge servers in order to tackle any
potential security risk.
In this context, Atos has developed three new
servers to offer extreme flexibility, built-in security and an
efficient carbon footprint with titanium power supply. Manufactured
in Atos' factory in Angers, these new servers are equipped with the
latest, most-performant Computing Technologies from the Group’s
strategic technology partners combined with Atos-designed
motherboards and eco-efficient packaging. Any workloads and any
applications can be run with the lowest latency at the highest
efficiency on the hardware. All three servers have built-in
security based on Atos Root of Trust & Atos Chain-of-Trust to
guarantee the highest level of data security at all times.
As a leader in decarbonization, Atos has
designed its servers to have an efficient carbon footprint by
largely improving the compute density, therefore allowing better
consolidation and consequently lower energy consumption and a
smaller footprint.
The BullSequana
SH, tailored for
high-performance on-premises
and public cloud
workloads
The Group’s newest server is a digital
transformation accelerator enabling customers to run specific
workloads requiring large computing capacities, business-critical
applications and in-memory applications such as databases and
analytics (fully SAP HANA certified appliances and TDI). It is
also designed for virtualized and hyperconverged infrastructures,
for hybrid computing and for Artificial Intelligence purposes such
as deep learning and machine learning.
Based on the 4th Gen Intel® Xeon® Scalable
processor, the latest addition to the BullSequana S range can scale
in a 2-socket increment up to 32 sockets acting as a single server,
offering its customers an efficient scalability without
over-provisioning and making software use more efficient without
increasing energy or footprint.
Customers will also benefit from a faster
response time to business demand thanks to the DDR5 memory support
for demanding applications and to an increased memory per system
with Intel® Optane™ Persistent Memory 300 series.
The new BullSequana
EX series,
for trusted AI from edge to
cloud
Some data sets are simply too large or
business-critical to make the move to the cloud. An edge-to-cloud
platform offers maximum availability and minimum latency for
complex and voluminous data assets. Atos’ new BullSequana EX
servers will empower next-generation computer vision use cases such
as AI inference for smart glasses, Virtual and Augmented Reality,
intelligent management of scene changes and more.
The BullSequana EX range has two designs to
address far edge to datacenter workload challenges, both optimized
for next-gen AI inference. The BullSequana EXD is based on a far
edge desktop with a rackable option, and the BullSequana EXR is an
edge datacenter that can also be used for hyperconverged
infrastructure for the BullSequana EXR.
With interchangeable CPUs (including 4th Gen
Intel® Xeon® Scalable processor) and NVIDIA GPUs ranging from the
NVIDIA A2 Tensor Core GPU to the NVIDIA L40 GPU, both servers offer
unprecedent flexibility. Customers can build and deploy a variety
of high performance, latency-sensitive applications (computer
vision, VR etc..) as well as run hyperconverged workloads in the
edge datacenter with BullSequana EXR.
This offering has been designed to be 5G and
connectivity optimized as well as fully adapted for MEC, 5G core
and VRAN workloads.
Emmanuel Le Roux, SVP,
Group SVP Global Head of Advanced Computing &
AI, Atos, commented, “We are excited to
today unveil our next generation of enterprise and edge servers;
this is a key milestone for Atos’s computing business as our full
range of servers is now entirely renewed, together with last year’s
BullSequana XH3000 launch. We have leveraged our recognized
manufacturing and R&D expertise to develop the next generation
of our edge & business computing servers lines to help our
clients tackle the challenges of fast-growing data, security and
sovereignty."
***
About Atos
Atos is a global leader in digital
transformation with 112,000 employees and annual revenue of c. € 11
billion. European number one in cybersecurity, cloud and high
performance computing, the Group provides tailored end-to-end
solutions for all industries in 71 countries. A pioneer in
decarbonization services and products, Atos is committed to a
secure and decarbonized digital for its clients. Atos is a SE
(Societas Europaea) and listed on Euronext Paris.
The purpose of Atos is to help design the future
of the information space. Its expertise and services support the
development of knowledge, education and research in a multicultural
approach and contribute to the development of scientific and
technological excellence. Across the world, the Group enables its
customers and employees, and member
Press
contact
Constance Arnoux | constance.arnoux@atos.net |
+33 6 44 12 16 35
1 Source: Total data volume worldwide 2010-2025 | Statista2
Source : Uptime Institute Global Data Center Survey 2022
- PR - Atos unveils the BullSequana SH server for secure,
carbon-efficient hybrid computing and BullSequana EX series for
trusted AI applications at the edge
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