Fully managed compute service enables complex,
dynamic 3D simulations that model systems with more than a million
objects, quickly predict real-world outcomes, and create immersive
training spaces for customers
Duality Robotics, Lockheed Martin, and uCrowds
are among customers and partners using AWS SimSpace Weaver
At AWS re:Invent, Amazon Web Services, Inc. (AWS), an
Amazon.com, Inc. company (NASDAQ: AMZN), today announced AWS
SimSpace Weaver, a fully managed compute service that helps
customers build, operate, and run large-scale spatial simulations.
With AWS SimSpace Weaver, customers can deploy spatial simulations
to model dynamic systems with many data points (e.g., traffic
patterns across an entire city, crowd flows in a venue, or
factory-floor layouts), and then use the simulations to visualize
physical spaces, perform immersive training, and garner insights on
different scenarios to make informed decisions. AWS SimSpace Weaver
allows customers to run a simulation that has more than a million
entities interacting in real time and create more sophisticated
environments than previously possible, while reducing the time to
simulation deployment from years to months. AWS SimSpace Weaver
handles provisioning Amazon Elastic Compute Cloud (Amazon EC2)
instances as well as managing the network and compute
infrastructure, so customers can focus on designing and observing
simulations in real time, across multiple live viewers. There are
no upfront commitments or fees to use AWS SimSpace Weaver, and
customers only pay for the amount of compute used. To get started
with AWS SimSpace Weaver, visit aws.amazon.com/simspaceweaver.
Today, customers across industries such as transportation,
robotics, and public safety need to create dynamic, 3D experiments
to understand possible real-world outcomes and visualize and train
in immersive spaces. For example, to realize the impact of road
closures, a customer can simulate different closure combinations on
their routes. These types of complex spatial simulations demand
significant compute resources, stretching the existing limits of
their compute capacity. Additionally, integrating and scaling a
spatial simulation with millions of interacting objects across
compute instances is a difficult process. It requires dividing the
simulation—and its components—into pieces, keeping those pieces
simulating at a consistent rate, and replicating relevant data
across the environment as well as among multiple live users.
Solving these problems can require years of investment and
specialized hardware, resulting in simulations that are too costly
for all but the most well-funded organizations. Further, spatial
simulations must be programmed to capitalize on the size and
density the additional compute enables, requiring specialized teams
trained in compute configuration and utilization. As a consequence,
customers make tradeoffs in the sophistication of their simulation
logic, limiting them to only exploring basic scenarios, while more
nuanced problems—particularly those that are sensitive and
expensive—are merely estimated.
AWS SimSpace Weaver is a fully managed compute service that
enables customers to run complex, large-scale spatial simulations
where they can conduct experiments that closely approximate
real-world systems and visualize immersive training spaces. AWS
SimSpace Weaver supports more than a million moving objects like
people, cars, traffic lights, roads and more, each with their
associated behaviors and properties all interacting in real time.
Like an actual city, the simulation is an expansive “world” in
itself. To build simulation applications, customers can use the AWS
SimSpace Weaver software development kit to incorporate their
custom simulation content or use built-in integrations for
third-party solutions like Unity and Unreal Engine 5. Once a
customer is ready to deploy their simulation, AWS SimSpace Weaver
automatically sets up the environment, connects up to 10 highly
available, low latency Amazon EC2 instances into a networked
cluster, and distributes the simulation across instances. AWS
SimSpace Weaver then manages the network and memory configurations,
replicating and synchronizing the data across the instances to
create a single, unified simulation where multiple concurrent users
can interact with and manipulate the simulation in real time.
Customers can focus on designing simulations, observing the
performance of simulations, and applying their learnings to prepare
for scenarios and make business decisions. The scale and elasticity
of AWS SimSpace Weaver—through its pay-as-you-go model—means
customers do not need expensive hardware or additional headcount to
manage spatial simulations. AWS SimSpace Weaver allows a variety of
customers to easily run complex, immersive 3D experiences and test
and visualize large-scale scenarios.
“Previously, if a customer wanted to scale up their spatial
simulation, they had to balance the accuracy of the simulation with
the capacity of their hardware, which limited the usefulness of
what they could learn,” said Bill Vass, vice president of
Technology at AWS. “AWS SimSpace Weaver removes the burden of
managing simulation infrastructure, simplifying how customers run
large-scale simulations and freeing them to focus on creating
differentiated content and expanding access to simulation
development. Whether the goal is to simulate the population of
urban megacities, track logistics operations on a continental
scale, or build real-world scale digital twins for smart city
initiatives, AWS SimSpace Weaver empowers customers to create vast,
distributed simulations.”
AWS SimSpace Weaver provides a local development environment for
customers to iterate and test a version of their spatial simulation
for free on their personal hardware, before running their
simulation at scale on AWS. The local environment also uses the
same APIs as AWS SimSpace Weaver, so customers can transition their
simulation to the cloud without modifying any code. AWS SimSpace
Weaver is generally available today in US East (Ohio), US East (N.
Virginia), US West (Oregon), Asia Pacific (Singapore), Asia Pacific
(Sydney), Europe (Frankfurt), Europe (Ireland), and Europe
(Stockholm), with availability in additional AWS Regions coming
soon.
Duality Robotics is building a digital twin integration platform
for solving real world problems. “Until now, simulation has always
involved a tradeoff between scale and fidelity,” said Apurva Shah,
CEO at Duality Robotics. “The combination of Duality Robotics’
digital twin simulator, Falcon, with AWS SimSpace Weaver takes
digital twins of environments and systems developed for the Unreal
ecosystem and makes them instantly available for massive scale
simulation. The integration with Epic Games’ Unreal Engine and
access to a vast collection of Unreal assets powers realistic 3D
environments and visualizes data with a high level of accuracy
necessary for efficient simulation deployment. Duality Robotics’
emergency medical services use case demonstrates the value of
spatial simulation with high-fidelity physics, photoreal rendering,
virtual sensors, and real-time performance with over a million
concurrent agents. This is proving customers can run AWS SimSpace
Weaver to model sensitive physical systems and garner insights
applicable to the real world.”
Epic Games is a leading interactive entertainment company and
provider of 3D engine technology. Unreal Engine is Epic Games’
complete suite of creation tools for game development,
architectural and automotive visualization, linear film and
television content creation, broadcast and live event production,
training and simulation, and other real-time applications. “While
developers previously had to compromise on scale versus fidelity
when creating simulations, they now can create environments that
more accurately reflect the amount of people and objects in the
real world,” said Nathan Thomas, vice president of Unreal Engine at
Epic Games. “By combining the power of Unreal Engine 5 with AWS
SimSpace Weaver, customers are able to scale our City Sample
project to over one million interactive pedestrians. This opens the
door for developers to create massive digital twins and simulations
with new levels of realism.”
Lockheed Martin is a global security and aerospace company
principally engaged in the research, design, development,
manufacture, integration and sustainment of advanced technology
systems, products and services. The Virtual Prototyping group of
the Skunk Works division is chartered to provide advanced
visualization, modeling and simulation, and human computer
interfaces capabilities. "We need to be able to simulate at
real-world scale to trust that the insights we gain from simulation
are transferable back to reality. Historically, it would take a
long time to simulate large scenarios and we were limited to only a
few users that could interact with the simulation at the same
time,” said Wesley Tanis, virtual prototyping engineer at Lockheed
Martin. "We worked with AWS to develop a San Francisco Earthquake
Recovery demo, which illustrates the ways first responders might
organize an aid relief mission. Together, we were able to simulate
over a million objects in near real-time at a continental scale,
giving us real-world insight to increase our situational
preparedness and planning across a wide range of scenarios
including natural disasters.”
Maxar is a leading provider of comprehensive space solutions and
secure, precise geospatial intelligence for government and
commercial customers, helping them to monitor, understand and
navigate our changing planet, provide global broadband
communications, and explore and advance the use of space.
“Typically, spatial simulations require designers and developers to
build a world first, then augment it with assets to create a
compelling and immersive world. Only once the world is complete,
does the team consider the computing power required to run the
simulation,” said Dan Nord, senior vice president and general
manager of Enterprise Earth Intelligence at Maxar. “Now, with the
3D geospatial digital twin of Earth built with Maxar’s Vivid
imagery basemap, blackshark.ai’s synthetic buildings and textures,
and AWS SimSpace Weaver handling compute infrastructure management,
designers and developers can jump straight into creating vast,
detailed simulations that are ready to scale. In tests using AWS
SimSpace Weaver with our 3D digital twin, customers have been able
to build a real-world simulation faster than previous methods.”
uCrowds is a high-growth Dutch startup and a leading provider of
crowd simulation solutions and products for municipalities, event
organizers, and systems integrators. "We are experiencing growing
interest from customers who want to create digital twins and the
metaverse, as well as model real-world environments. For example,
many of our customers want to know what to expect when they host a
large event in their city and how to ensure attendees stay safe yet
engaged in the event experience," said Roland Geraerts, founder and
CEO at uCrowds. "The scale of AWS SimSpace Weaver coupled with the
uCrowds simulator allows customers to build the next generation of
real-time, responsive, persistent, and realistic cloud-based crowd
simulations. Using AWS SimSpace Weaver, we were able to triple the
simulation capability of our entity crowd simulator from 400,000 to
over one million crowd entities in just three weeks. With the
cloud, we now have almost limitless scaling capability without
needing to purchase another piece of expensive hardware, ushering
us toward our goal of simulating the population of the entire
planet."
About Amazon Web Services
For over 15 years, Amazon Web Services has been the world’s most
comprehensive and broadly adopted cloud offering. AWS has been
continually expanding its services to support virtually any cloud
workload, and it now has more than 200 fully featured services for
compute, storage, databases, networking, analytics, machine
learning and artificial intelligence (AI), Internet of Things
(IoT), mobile, security, hybrid, virtual and augmented reality (VR
and AR), media, and application development, deployment, and
management from 96 Availability Zones within 30 geographic regions,
with announced plans for 15 more Availability Zones and five more
AWS Regions in Australia, Canada, Israel, New Zealand, and
Thailand. Millions of customers—including the fastest-growing
startups, largest enterprises, and leading government
agencies—trust AWS to power their infrastructure, become more
agile, and lower costs. To learn more about AWS, visit
aws.amazon.com.
About Amazon
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