Category Archives: Hardware

AImotive Launches aiWare4

BUDAPEST, Hungary, May 28, 2021 – AImotive, one of the world’s leading suppliers of scalable modular automated driving technologies, announced the latest release of its award-winning aiWare NPU hardware IP. Featuring substantial upgrades to on-chip memory architecture, innovative new wavefront-processing algorithms and enhanced ISO26262-compliant safety features, aiWare4 delivers the ultimate scalable solution from the most challenging single-chip edge applications to the highest performance central processing platforms for automotive AI. With aiWare4 many key metrics have been further improved, including TOPS/mm2, effective TOPS/W and range of high-efficiency CNN topologies.

Upgraded capabilities for aiWare4 include:

  • Scalability:up to 64 TOPs per core (up from 32 TOPS for aiWare3) and up to 256 TOPS per multi-core cluster, with greater configurability of on-chip memory, hardware safety mechanisms and external/shared memory support
  • Safety:Enhanced standard hardware features and related documentation ensuring straightforward ISO26262 ASIL B and higher compliance for both SEooC (Safety Element out of Context) and in-context safety element applications
  • PPA(Note 1):8-10 Effective TOPS/W for typical CNNs (theoretical peak up to 30 TOPS/W) using a 5nm or smaller process node; up to 98% efficiency for a wider range of CNN topologies; more flexible power domains enabling dynamic power management able to respond to real-time context changes without needing to restart
  • Processing:Innovative Wavefront RAM (WFRAM) leverages aiWare’s latest wavefront-processing and interleaved multi-tasking scheduling algorithms, enabling more parallel execution, better multi-tasking capability and substantial reductions in memory bandwidth compared to aiWare3 for CNNs requiring access to significant external memory resources

aiWare4 continues to deliver industry-leading NPU efficiency (see Note 2), enabling superior performance using less silicon. These latest upgrades also enable aiWare4 to execute a wide range of CNN workloads using only on-chip SRAM for single-chip edge AI or more highly-optimized ASIC or SoC applications.

“aiWare4 builds on the extensive experience we gained from working with our silicon and automotive partners, as well as insights from our aiDrive team into the latest trends and techniques driving the latest thinking in CNNs for automotive applications,” says Marton Feher, SVP hardware engineering for AImotive. “We are proud that we offer the industry’s most efficient NPU for automotive inference and have now extended aiWare’s capabilities to achieve new levels of safety, flexibility, low-power operation and performance under the most demanding automotive operating environments.”

For more details about aiWare4:

AImotive will be shipping aiWare4 RTL to lead customers starting Q3 2021.

For more information about AImotive, please visit

Note 1: PPA: Power, Performance and Area

Note 2: download the latest aiWare3 benchmark demonstrating up to 98% efficiency measured on Nextchip’s Apache5 SoC. NPU Efficiency measures % of claimed TOPS usable to execute theoretical GMACS of CNN workload. Request additional benchmark data here

NVIDIA Q1 Revenue Up 13% to $5661M with $1912M Profit

SANTA CLARA, CA, May 27, 2021 – NVIDIA reported record revenue for the first quarter ended May 2, 2021, of $5661M compared with $5003M for the fourth quarter ended Jan 31, 2021. Net income was $1912M.

Comparative analysis based on NVIDIA’s financial results in the last 12 quarters (Result source NVIDIA website)

Comparative analysis based on NVIDIA’s financial results in the last 12 quarters (Result source NVIDIA website)

“We had a fantastic quarter, with strong demand for our products driving record revenue,” said Jensen Huang, founder and CEO of NVIDIA.

“Our Data Center business continues to expand, as the world’s industries take up NVIDIA AI to process computer vision, conversational AI, natural language understanding and recommender systems. NVIDIA RTX has reinvented computer graphics and is driving upgrades across the gaming and design markets. Our partners are launching the largest-ever wave of NVIDIA-powered laptops. Across industries, the adoption of NVIDIA computing platforms is accelerating.

“Mellanox, one year in, has exceeded our expectations and transformed NVIDIA into a data-center-scale computing company. We continue to make headway with our planned acquisition of Arm, which will accelerate innovation and growth for the Arm ecosystem. From gaming, cloud computing, AI, robotics, self-driving cars, to genomics and computational biology, NVIDIA continues to do impactful work to invent a better future,” he said.

A complete chart of the financial results is available here.


NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market and has redefined modern computer graphics, high performance computing and artificial intelligence. The company’s pioneering work in accelerated computing and AI is reshaping trillion-dollar industries, such as transportation, healthcare and manufacturing, and fueling the growth of many others.

For more information, visit website.

Epson Offers OEM PrecisionCore Printheads

LOS ALAMITOS, CA, May 25, 2021 – Epson America announced it is making its proven MEMs thin-film piezo inkjet printheads available to printer OEMs for integration into next-generation industrial printers. Epson has continued to lead the industry in innovation with its Si MEMs-based PrecisionCore technology, setting new benchmarks for digital printing speed, quality and reliability. With options for aqueous, UV and solvent-based ink, in flexible design configurations, Epson PrecisionCore printheads provide advanced performance and scalability.

“Epson is a market leader in printhead technology, offering advanced solutions that deliver high productivity, durability and scalability,” said Rob Rogers, product manager, OEM Printheads, Epson America, Inc. “With these PrecisionCore printheads now available, OEMs have the opportunity to integrate some of the most advanced printhead technology into their industrial printers, helping expand the state of digital printing. We are looking forward to enabling our customers to make an impact in their industries.”

Epson’s OEM printheads deliver industry-leading productivity, reliability and high image quality, and are available in four series to meet various needs:

  • S-Series Printheads: Offers high productivity, high image quality and head expandability; maximum 4.73-inch-wide MEMs printhead series equipped with ink recirculation
  • I-Series Printheads:Cost-effective 1.33-inch-wide MEMs printheads provide high productivity and high image quality with 600dpi high-density resolution
  • L-Series and F-Series Printheads: MACH (Multi Layer ACtuator Head) technology is leveraged for high precision and high density; can be used for up to 8 colors

Additional specs include:

Printhead Model Printhead


Compatible Ink Dimensions

(w x d x h)

Number of Nozzles Nozzle Resolution Effective Print Width Max. Usable Ink Color
S-Series S800 PrecisionCore micro TFP® Aqueous, UV ink 58.1 x 8.34 x 33.79 mm 800 600npi
(300npi x 2 rows)
33.8 mm

(1.33 inches)

1 color
S-Series S1600 PrecisionCore micro TFP UV ink 97.4 x 30.0 x 48.2 mm 1,600 600npi
(300npi x 2 rows)
67.2 mm

(2.65 inches)


2 colors
S-Series S3200 PrecisionCore micro TFP Aqueous, UV, eco-solvent ink 150.4 × 30.0 × 52.0 mm 3,200 600npi
(300npi x 2 rows)
120.2 mm (4.73 inches) 2 colors
I-Series I1600 PrecisionCore micro TFP Aqueous, UV, eco-solvent ink 69.1 x 59.4 x 35.6 mm 1,600 600npi
(300npi x 2 rows)
33.8 mm

(1.33 inches)

4 colors
I-Series I3200 PrecisionCore micro TFP Aqueous, UV, eco-solvent ink 69.1 x 59.4 x 35.6 mm 3,200 600npi
(300npi x 2 rows)
33.8 mm

(1.33 inches)

4 colors
L-Series L1440 MACH (Multi Layer ACtuator) UV, eco-solvent ink 60.4 x 46.9 x 71.1 mm 1,440


(180npi x 2 rows)

(1 inch)


8 colors
F-Series F1440 MACH (Multi Layer ACtuator) Aqueous ink 106 x 49.7 x 41.7mm 1,440


(180npi x 2 rows)

(1 inch)

8 colors


Epson’s OEM PrecisionCore printheads are available now. For additional information, visit

About Epson

Epson is a global technology leader dedicated to co-creating sustainability and enriching communities by leveraging its efficient, compact, and precision technologies and digital technologies to connect people, things, and information. The company is focused on solving societal issues through innovations in home and office printing, commercial and industrial printing, manufacturing, visual and lifestyle. Epson’s goal is to become carbon negative and eliminate use of exhaustible underground resources such as oil and metal by 2050.

Led by the Japan-based Seiko Epson Corporation, the worldwide Epson Group generates annual sales of around JPY 1 trillion. For more information, visit

Epson America, Inc., based in Los Alamitos, CA, is Epson’s regional headquarters for the US, Canada, and Latin America. To learn more about Epson, please visit

Eight NVIDIA Ampere Architecture GPUs Announced

SANTA CLARA, CA, (GTC21), Apr 13, 2021 – NVIDIA announced a range of eight new NVIDIA Ampere architecture GPUs for next-generation laptops, desktops and servers that make it possible for professionals to work from wherever they choose, without sacrificing quality or time.


Using the new NVIDIA RTX GPUs, artists can create dazzling 3D scenes, designers can iterate on stunning building architecture in real time, and engineers can create groundbreaking products on any system.

“Hybrid work is the new normal,” said Bob Pette, vice president of professional visualization at NVIDIA. “RTX GPUs, based on the NVIDIA Ampere architecture, provide the performance for demanding workloads from any device so people can be productive from wherever they need to work.”

RTX Key Visual

For desktops, the new NVIDIA RTX A5000 and NVIDIA RTX A4000 GPUs feature new RT Cores, Tensor Cores and CUDA cores to speed AI, graphics and real-time rendering up to 2x faster than previous generations.

For professionals on the go needing thin and light devices, the new NVIDIA RTX A2000, NVIDIA RTX A3000, RTX A4000 and RTX A5000 laptop GPUs deliver accelerated performance without compromising mobility. They include the latest generations of Max-Q and RTX technologies and are backed by the NVIDIA Studio ecosystem, which includes exclusive driver technology that enhances creative apps for optimal levels of performance and reliability.

For the data center, there are the new NVIDIA A10 GPU and A16 GPU. The A10 provides up to 2.5x the virtual workstation performance of the previous generation for designers and engineers, while the A16 GPU provides up to 2x user density with lower total cost of ownership and an enhanced virtual desktop infrastructure experience over the previous generation.

Combined with NVIDIA RTX Virtual Workstation (vWS) and NVIDIA Virtual PC (vPC) software, the A10 and A16 GPUs deliver more power, memory and speed to boost any workflow, from graphics and AI to VDI, so users can focus more time on working efficiently and productively.

Customer Adoption

Among the first to tap into the RTX A5000 is Woods Bagot, a global architectural and consulting practice.

“This new NVIDIA Ampere GPU microarchitecture is a huge leap forward. I was shocked by the performance gain I saw with the NVIDIA RTX A5000 versus the equivalent model previous generation RTX when running applications such as Chaos Vantage and NVIDIA Omniverse,” said Robert Cervellione, studio leader of Design Technology at Woods Bagot. “It’s clear the NVIDIA RTX A5000 professional GPU was designed for this intensive multi-tasking compared to game-level cards.”

Polaris, a manufacturer of motorcycles, snowmobiles, ATV and electric vehicles, is also using the RTX A5000.

“Speed is everything when we need to evaluate new concepts for the most adventurous vehicles, and the NVIDIA RTX A5000 really delivers what we need,” said Erick Green, 3D/CGI lead at Polaris. “The basic viewport rendering is incredibly fast in Octane Render — 5x faster — and unlocks things we couldn’t have even tried before.”

“At Important Looking Pirates, we’re constantly pushing creative boundaries, and breakthrough technology is the great enabler,” said Ola Björling, producer of Virtual Production & Real-Time Graphics at Important Looking Pirates. “With the RTX A5000 powering NVIDIA Omniverse, we’re seeing high-end cinematic results in real time that used to take hours per frame.”

Next-Generation RTX Technology

The new NVIDIA RTX GPUs feature the latest generation of NVIDIA RTX technology to accelerate graphics, ray tracing, AI and compute. The new RTX laptop GPUs also include the latest generation of NVIDIA Max-Q technology, enabling a new generation of powerful thin and light laptops designed for professionals. Additionally, RTX technology powers NVIDIA Omniverse — the only platform that delivers high-performance, physically accurate simulation for complex 3D worlds and true real-time ray- and path-traced rendering with ease.

All the NVIDIA RTX GPUs feature the latest technologies in the NVIDIA Ampere architecture:

  • Second-Generation RT Cores: Up to 2x the throughput of the previous generation, with the ability to run concurrent ray tracing, shading and denoising tasks.
  • Third-generation Tensor Cores: Up to 2x the throughput of the previous generation, up to 10x with sparsity, with support for new TF32 and BFloat16 data formats.
  • CUDA Cores: Up to 2.5x the FP32 throughput of the previous generation for significant increases in graphics and compute workloads.

Desktop GPU features and technology include:

  • Up to 24GB of GPU memory: Double the memory of the previous generation, the RTX A4000 with 16GB GDDR6 memory and the RTX A5000 with 24GB of GDDR6 memory both support ECC memory for error-free computing. The RTX A5000 is expandable up to 48GB of memory using NVIDIA NVLink to connect two GPUs.
  • Virtualization: The RTX A5000 supports NVIDIA RTX vWS software for multiple high-performance virtual workstation instances that enable remote users to share resources to drive high-end design, AI and compute workloads.
  • PCIe Gen 4: Doubles the bandwidth of the previous generation and speeds up data transfers for data-intensive tasks such as AI, data science and creating 3D models.

Laptop GPU features and technology include:

  • Third-Gen Max-Q technology: For thin and light laptops that perform quieter and more efficiently with Dynamic Boost 2.0, WhisperMode 2.0, Resizable BAR and NVIDIA DLSS technology.
  • Up to 16GB of GPU memory: For the largest models, scenes, assemblies and advanced multi-application workflows.

NVIDIA also introduced the NVIDIA T1200 and NVIDIA T600 laptop GPUs, based on its previous-generation Turing architecture. Designed for multi-application professional workflows, these GPUs are a significant upgrade in performance and capabilities from integrated graphics.


The new NVIDIA RTX desktop GPUs and NVIDIA data center GPUs will be available from global distribution partners and OEMs starting later this month.

The new NVIDIA RTX laptop GPUs will be available in mobile workstations anticipated in Q2 this year from global OEMs.


NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market and has redefined modern computer graphics, high performance computing and artificial intelligence. The company’s pioneering work in accelerated computing and AI is reshaping trillion-dollar industries, such as transportation, healthcare and manufacturing, and fueling the growth of many others.

More information at

BMW, NVIDIA Announce Virtual Factory Planning Standards

MUNICH, Germany, Apr 13, 2021 – The BMW Group and NVIDIA are generating a completely new approach to planning highly complex manufacturing systems – with the Omniverse platform. The virtual factory planning tool integrates a range of planning data and applications and allows real-time collaboration with unrestricted compatibility. As industry leaders, the BMW Group and NVIDIA are setting new standards in virtual factory planning.

With NVIDIA’s Omniverse platform, the BMW Group is revolutionizing the design of highly complex manufacturing systems. The virtual factory planning tool integrates various planning data and applications and enables real-time collaboration without compatibility limits. April 2021

Milan Nedeljković, BMW AG Board Member for Production: “Together we’re about to make a huge leap forward and open up completely new perspectives in the field of virtual, digital planning. In the future a virtual representation of our production network will allow us to realize an innovative, integrated approach to our planning processes. Omniverse greatly enhances the precision, speed and consequently the efficiency of our planning processes.”

“BMW does personalized manufacturing at a massive scale – their operations are among the most complex in the world,” said Jensen Huang, founder and CEO of NVIDIA. “In their vision of future factories, people and robots work together, engineers from all aspects of factory design collaborate in a shared virtual space, and the entire factory is simulated with photorealistic detail. NVIDIA Omniverse was built to realize this future. I am delighted that BMW is using NVIDIA Omniverse to connect their teams to design, plan and operate their future factories virtually before anything is built in the physical world. This is the future of manufacturing.”

Virtual factory planning is already widespread, but until now it has required data to be imported from various applications. This is not only time-consuming but also raises compatibility issues. In addition, the data is not always up to date. In the future, the Omniverse platform will enable live data to be collected and collated from all the relevant databases to create a joint simulation – eliminating the need to reimport data. The goal is to enable modifications and adjustments to be assessed in the early stages of planning in order to create an overall view. This extreme transparency will allow planners and production specialists to plan highly complex production systems even more quickly and accurately, without interface losses or compatibility problems. Omniverse integrates data from various professional design and planning tools from a range of different producers and uses it to generate photo-realistic real-time simulations in a single collaborative setting.Outstanding photorealistic quality is just one of the many benefits of Omniverse. An-other is that employees at different sites in different time zones can access the virtual simulation and work together to plan and optimize details of a process or production system whenever they need to. In addition, Omniverse can be used in a multitude of applications: in the future, planners and production specialists will collaborate using real-time data that is synchronized in the Omniverse cloud infrastructure. They will also be able to discuss the integration of new production systems with suppliers. Omniverse allows structure and facility data to be integrated, as well as items and part numbers of materials in production. It can also be used for logistics planning, offering unprecedented data consistency, from planning through to production. “This is redefining collaboration,” emphasizes Board Member for Production Milan Nedeljković. The ability to carry out changes live will speed up decision-making noticeably. Production planners at the BMW Group will be able to visualize the entire planning lifecycle for every plant in the global production network, accelerated by scalable GPU performance. This will be supported by a wide range of AI-capable application cases, from autonomous robotics to predictive maintenance and data analysis.

The BMW Group and NVIDIA are long-standing partners. In a first pilot project, the US-based company fitted high-performance technologies and special AI control modules to logistics robots and to the BMW Group’s self-developed autonomous transport robots (STRs).

The BMW Group production network

Uniquely flexible and highly efficient, the BMW Group production network is able to respond quickly to changing markets and regional sales fluctuations. Expertise in manufacturing is a key contributor to the BMW Group’s profitability.

The BMW Group production network uses a range of innovative digital and Industry 4.0 (IoT) technologies, including virtual reality, artificial intelligence and 3D printing applications. Standardized processes and structures across the production system ensure consistent premium quality and allow a high degree of customization.

The BMW Group

With its four brands BMW, MINI, Rolls-Royce and BMW Motorrad, the BMW Group is the world’s leading premium manufacturer of automobiles and motorcycles and also provides premium financial and mobility services. The BMW Group production network comprises 31 production and assembly facilities in 15 countries; the company has a global sales network in more than 140 countries.

In 2020, the BMW Group sold over 2.3 million passenger vehicles and more than 169,000 motorcycles worldwide. The profit before tax in the financial year 2020 was € 5.222 billion on revenues amounting to € 98.990 billion. As of 31 December 2020, the BMW Group had a workforce of 120,726 employees.

The success of the BMW Group has always been based on long-term thinking and responsible action. The company set the course for the future at an early stage and consistently makes sustainability and efficient resource management central to its strategic direction, from the supply chain through production to the end of the use phase of all products.

For more information, visit

NVIDIA Omniverse Enterprise Launched for 3D Design

SANTA CLARA, CA, (GTC21), Apr 13, 2021 – NVIDIA announced the coming general availability of NVIDIA Omniverse Enterprise, the world’s first technology platform that enables global 3D design teams working across multiple software suites to collaborate in real time in a shared virtual space.NVIDIA Omniverse Enterprise makes it possible for 3D production teams — which are often large, diverse in skills and geographically dispersed — to work seamlessly together on complex projects. Rather than requiring in-person meetings or exchanging and iterating on massive files, designers, artists and reviewers can work simultaneously in a virtual world from anywhere, on any device.

NVIDIA Omniverse – AI Factory

NVIDIA Omniverse Enterprise has been in early evaluations with some of the world’s most sophisticated design teams at companies like BMW Group, Foster + Partners and WPP. It follows the launch three months ago of an open beta for individuals, which has been downloaded by nearly 17,000 users.

“Every few decades, technologies converge to enable a whole new thing – Omniverse is such an invention,” said Jensen Huang, founder and CEO of NVIDIA. “Building on NVIDIA’s entire body of work, Omniverse lets us create and simulate shared virtual 3D worlds that obey the laws of physics. The immediate applications of Omniverse are incredible, from connecting design teams for remote collaboration to simulating digital twins of factories and robots. The science-fiction metaverse is near.”

NVIDIA Omniverse – Multi-User Collaboration

Omniverse Enterprise is a new platform that includes the NVIDIA Omniverse Nucleus server, which manages the database shared among clients, and NVIDIA Omniverse Connectors, which are plugins to industry-leading design applications.

It also includes two end-user applications: NVIDIA Omniverse Create — which accelerates scene composition and allows users in real time to interactively assemble, light, simulate and render scenes — and NVIDIA Omniverse View, which powers seamless collaborative design and visualization of architectural and engineering projects with photorealistic rendering. NVIDIA RTX™ Virtual Workstation (vWS) software, also part of the platform, gives collaborators the freedom to run their graphics-intensive 3D applications from anywhere.

Omniverse Enterprise is tested and optimized for professionals to run on NVIDIA RTX laptops and desktops as well as NVIDIA-Certified Systems on the NVIDIA EGX platform. This makes it possible to deploy the tool across organizations of any scale, from small workgroups using local desktops and laptops, to globally distributed teams accessing the data center using various devices.

Global Leaders Adopt Omniverse

Among the more than 400 companies that have been evaluating Omniverse over the past two years are:

The BMW Group is the first car manufacturer to use NVIDIA Omniverse to design an end-to-end digital twin of an entire factory. Thousands of planners, product engineers, facility managers and lean experts within the global production network are able to collaborate in a single virtual environment to design, plan, engineer, simulate and optimize extremely complex manufacturing systems before a factory is actually built or a new product is integrated.

“NVIDIA Omniverse and NVIDIA AI give us the chance to simulate all 31 factories in our production network. All elements of the complete factory model — including the associates, the robots, the buildings and the assembly parts — can be simulated to support a wide range of AI-enabled use cases such as virtual factory planning, autonomous robots, predictive maintenance and big data analytics,” said Milan Nedeljkovic, member of the board of management of BMW AG, responsible for production. “These new innovations will reduce the planning times, improve flexibility and precision, and at the end produce 30 percent more efficient planning processes. Omniverse is a game-changer that is setting the standard for collaboration platforms for our industry.”

Industrial Light & Magic has been evaluating Omniverse for a broad range of possible workflows, but particularly for bringing together content created across multiple traditional applications, and facilitating simultaneous collaboration across teams that are distributed all over the world. Omniverse has the potential to remove the technical barriers that used to get in the way of the creative process, facilitating real-time decision-making across all disciplines.

Foster + Partners, the UK architectural design and engineering firm, is implementing Omniverse to enable seamless collaborative design to visualization capabilities to teams spread across 14 countries.

“Omniverse is a revolutionary platform that has allowed our designers to collaborate and visualize multiple design changes to a scene simultaneously while working on their software of choice,” said Martha Tsigkari, partner with the Applied Research and Development Group at Foster + Partners. “As we can review design options in parallel, we have much more time for creative design and visualization. Integration of futuristic technologies such as machine learning will bring more opportunities to assist the creative process in the future.”

WPP, the world’s largest marketing services organization, is using the NVIDIA Omniverse platform to reinvent the way advertising content is made by replacing traditional on-location production methods with entirely virtual production. When COVID-19 restrictions were put in place, the WPP team faced limitations shooting commercials for clients on location. They used the NVIDIA Omniverse platform to collaboratively design, build and simulate a photoreal virtual forest without having to shoot it in person.

“WPP’s global content production specialist Hogarth is the largest of its kind in the world. We manage over 1,500 shoots per year for our clients,” said Richard Glasson, global CEO of Hogarth. “Omniverse has improved the way we work by enabling multiple artists at different touchpoints in the pipeline to collaborate on a single scene virtually at the same time and from any place in the world. It dramatically reduces our carbon footprint and brings sustainable production to life.”

Ericsson, a leading telecommunications company, is using the Omniverse platform to simulate and visualize future 5G networks.

“The NVIDIA Omniverse platform lets our teams virtually explore any city’s unique geography — whether it is San Francisco’s hills or Frankfurt’s high-rises — and its impact on radio network performance,” said Joakim Sorelius, head of development Unit Networks at Ericsson. “By combining our extensive simulation expertise with the stunning visualizations of Omniverse, we bring radio network analysis to a new level, creating insights that ensure our customers get the best possible 5G experience. We see Omniverse as the future of collaboration and planning.”

Activision Publishing, Inc., is exploring NVIDIA Omniverse’s AI-search capabilities for its award-winning, blockbuster video game experiences to allow artists, game developers and designers to search intuitively through massive databases of untagged 3D assets using text or images.

Building the Metaverse — Open Standards and Interoperability

The world’s 3D industries are making great strides toward building the metaverse — a massive shared virtual world — by adopting open file frameworks like Pixar’s Universal Scene Description, and encouraging interoperability between software applications. The NVIDIA Omniverse ecosystem continues to grow, connecting industry-leading applications from software companies such as Bentley Systems, Adobe, Autodesk, Epic Games, ESRI, Graphisoft, Trimble, McNeel & Associates, Blender, Marvelous Designer, Reallusion and wrnch Inc.

Bentley Systems, the infrastructure engineering software company, announced it is bringing infrastructure digital twins to NVIDIA Omniverse. Bentley is the first to harness real-time rendering, AI and simulation capabilities of NVIDIA Omniverse.

A complete list of software partners is available at


NVIDIA Omniverse Enterprise software is available on a subscription basis and includes NVIDIA’s enterprise support services. NVIDIA’s partner network of leading computer makers — including ASUS, BOXX Technologies, Cisco, Dell Technologies, HP, Lenovo and Supermicro — are supporting NVIDIA Omniverse Enterprise.


NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market and has redefined modern computer graphics, high performance computing and artificial intelligence. The company’s pioneering work in accelerated computing and AI is reshaping trillion-dollar industries, such as transportation, healthcare and manufacturing, and fueling the growth of many others.

More information at