ATLANTA, GA, July 25, 2024 – AMI, the global leader in Dynamic Firmware for worldwide computing, announces today that it has formally joined the NXP Semiconductors Partner Program. Through its participation in this Program, AMI will continue to bolster its world-class support for our dynamic Aptio UEFI Firmware for Embedded Arm solutions, as well as our MegaRAC Manageability Solutions and Tektagon Platform Root of Trust, featuring support for several innovative chipset platforms from NXP Semiconductors.

AMI’s focus remains on offering the most comprehensive UEFI solutions in the industry that empower Arm platform vendors to easily attain multi-OS support, such as Ubuntu and Windows IoT OS, and industry-standard certifications like Arm SystemReady, Windows Logo, Ubuntu Certified and the Firmware Test Suite (FWTS) from Canonical. By offloading firmware development, validation and support responsibilities to AMI, vendors can concentrate on developing end-user features that set their technologies apart.

“We warmly welcome AMI into our NXP Semiconductors Partner Program and look forward to new engagements in an expanding market,” said Jeff Steinheider, vice president and general manager, Industrial Edge Processing, NXP Semiconductors. “AMI’s comprehensive UEFI solutions complement NXP’s Arm-based MPU offerings, making it easier for customers to develop solutions across computing, smart home, and industrial markets.”

“AMI has always taken great pride in its support for the embedded solutions ecosystem, forming partnerships with leading companies across diverse verticals and applications. Our participation in the NXP Semiconductors Partner Program is a clear indication of our ongoing commitment to ensure that our dynamic Aptio UEFI Firmware meets the rigorous demands of the Arm embedded marketplace,” commented Srivatsan Ramachandran, senior vice president for global strategic alliance and ecosystem development of AMI.

About AMI

AMI is Firmware Reimagined for modern computing. As a global leader in Dynamic Firmware for security, orchestration, and manageability solutions, AMI enables the world’s compute platforms from on-premises to the cloud to the edge. AMI’s industry-leading foundational technology and unwavering customer support have generated lasting partnerships and spurred innovation for some of the most prominent brands in the high-tech industry.

For more information, visit www.ami.com.

IRVINE, CA, July 25, 2024 – EON Reality, the world leader in AI-assisted Virtual Reality and Augmented Reality-based knowledge transfer, announces the launch of “Knowledge Nodes,” a game-changing feature for its EON-XR platform. This innovation reimagines how users interact with and absorb information in extended reality environments.

Knowledge Nodes uses advanced algorithms to suggest relevant questions and topics as users explore subjects within the EON-XR platform. This feature creates a personalized learning journey, guiding users towards deeper understanding and encouraging comprehensive topic exploration.

“Knowledge Nodes represent a paradigm shift in XR-based education,” said Dan Lejerskar, Founder of EON Reality. “We’re not just delivering content; we’re crafting unique, interactive learning experiences that adapt to each user’s interests and needs.”

Key features include:

• Contextually aware question generation
• Interactive, clickable navigation options
• Integration with EON Reality’s extensive knowledge base and 3D model library
• Phased implementation, starting with text and avatar interactions and evolving to include rich multimedia and 3D content

Use Cases:

1. Medical Education: Topic: Human Anatomy

• Initial query: “Explain the structure of the human heart”
• Follow-up suggestions:

• • How does blood flow through the heart chambers?
  • What are the main differences between arteries and veins?
  • Can you describe the electrical conduction system of the heart?

Benefits:

• Allows medical students to explore complex anatomical concepts interactively
• Enhances understanding through suggested related topics
• Future integration with 3D models will provide immersive visualization of anatomical structures

2. Engineering Education: Topic: Structural Engineering

• Initial query: “What are the principal types of bridges?”
• Follow-up suggestions:

• • How does a suspension bridge distribute weight?
  • What materials are commonly used in modern bridge construction?
  • Can you explain the concept of load-bearing in arch bridges?

Benefits:

• Encourages students to explore engineering concepts from multiple angles
• Facilitates understanding of complex structural principles through guided questioning
• Future 3D model integration will allow for virtual exploration of bridge designs

Key Benefits for

Learners:

1. Personalized learning experiences tailored to individual interests
2. Improved knowledge retention through interactive engagement
3. Deeper understanding of subjects through guided exploration
4. Enhanced motivation through an intuitive, conversation-like interface

Educators:

1. Increased student engagement and participation
2. Ability to cover topics more comprehensively
3. Insights into student learning patterns through analytics
4. Reduced preparation time with dynamically generated content

Institutions:

1. Improved learning outcomes and student satisfaction
2. Scalable solution for diverse educational needs
3. Cutting-edge technology positioning for the institution
4. Cost-effective way to provide personalized learning at scale

EON Reality continues to pioneer advancements in XR-based learning, with Knowledge Nodes setting a new benchmark in educational technology. This feature will be rolled out to all EON-XR platform users in the coming weeks.

About EON Reality

EON Reality is a global leader in Augmented and Virtual Reality-based knowledge transfer for industry and education. EON Reality’s immersive platform powers the creation of interactive and engaging training, education, and performance applications. With EON-XR, users can create, share, and experience content that enhances learning outcomes and operational performance.

For more information, please visit www.eonreality.com.

NVIDIA announced a new NVIDIA AI Foundry service and NVIDIA NIM inference microservices to supercharge generative AI for the world’s enterprises with the Llama 3.1 collection of openly available models, also introduced today.

With NVIDIA AI Foundry, enterprises and nations can now create custom “supermodels” for their domain-specific industry use cases using Llama 3.1 and NVIDIA software, computing and expertise. Enterprises can train these supermodels with proprietary data as well as synthetic data generated from Llama 3.1 405B and the NVIDIA Nemotron Reward model.

NVIDIA AI Foundry is powered by the NVIDIA DGX Cloud AI platform, which is co-engineered with the world’s leading public clouds, to give enterprises significant compute resources that easily scale as AI demands change.

The new offerings come at a time when enterprises, as well as nations developing sovereign AI strategies, want to build custom large language models with domain-specific knowledge for generative AI applications that reflect their unique business or culture.

“Meta’s openly available Llama 3.1 models mark a pivotal moment for the adoption of generative AI within the world’s enterprises,” said Jensen Huang, founder and CEO of NVIDIA. “Llama 3.1 opens the floodgates for every enterprise and industry to build state-of-the-art generative AI applications. NVIDIA AI Foundry has integrated Llama 3.1 throughout and is ready to help enterprises build and deploy custom Llama supermodels.”

“The new Llama 3.1 models are a super-important step for open source AI,” said Mark Zuckerberg, founder and CEO of Meta. “With NVIDIA AI Foundry, companies can easily create and customize the state-of-the-art AI services people want and deploy them with NVIDIA NIM. I’m excited to get this in people’s hands.”

To supercharge enterprise deployments of Llama 3.1 models for production AI, NVIDIA NIM inference microservices for Llama 3.1 models are now available for download from ai.nvidia.com. NIM microservices are the fastest way to deploy Llama 3.1 models in production and power up to 2.5x higher throughput than running inference without NIM.

Enterprises can pair Llama 3.1 NIM microservices with new NVIDIA NeMo Retriever NIM microservices to create state-of-the-art retrieval pipelines for AI copilots, assistants and digital human avatars.

Accenture Pioneers Custom Llama Supermodels for Enterprises With AI Foundry

Global professional services firm Accenture is first to adopt NVIDIA AI Foundry to build custom Llama 3.1 models using the Accenture AI Refinery framework, both for its own use as well as for clients seeking to deploy generative AI applications that reflect their culture, languages and industries.

“The world’s leading enterprises see how generative AI is transforming every industry and are eager to deploy applications powered by custom models,” said Julie Sweet, chair and CEO of Accenture. “Accenture has been working with NVIDIA NIM inference microservices for our internal AI applications, and now, using NVIDIA AI Foundry, we can help clients quickly create and deploy custom Llama 3.1 models to power transformative AI applications for their own business priorities.”

NVIDIA AI Foundry provides an end-to-end service for quickly building custom supermodels. It combines NVIDIA software, infrastructure and expertise with open community models, technology and support from the NVIDIA AI ecosystem.

With NVIDIA AI Foundry, enterprises can create custom models using Llama 3.1 models and the NVIDIA NeMo platform — including the NVIDIA Nemotron-4 340B Reward model, ranked first on the Hugging Face RewardBench.

Once custom models are created, enterprises can create NVIDIA NIM inference microservices to run them in production using their preferred MLOps and AIOps platforms on their preferred cloud platforms and NVIDIA-Certified Systems from global server manufacturers.

NVIDIA AI Enterprise experts and global system integrator partners work with AI Foundry customers to accelerate the entire process, from development to deployment.

NVIDIA Nemotron Powers Advanced Model Customization

Enterprises that need additional training data for creating a domain-specific model can use Llama 3.1 405B and Nemotron-4 340B together to generate synthetic data to boost model accuracy when creating custom Llama supermodels.

Customers that have their own training data can customize Llama 3.1 models with NVIDIA NeMo for domain-adaptive pretraining, or DAPT, to further increase model accuracy.

NVIDIA and Meta have also teamed to provide a distillation recipe for Llama 3.1 that developers can use to build smaller custom Llama 3.1 models for generative AI applications. This enables enterprises to run Llama-powered AI applications on a broader range of accelerated infrastructure, such as AI workstations and laptops.

Industry-Leading Enterprises Supercharge AI With NVIDIA and Llama

Companies across healthcare, energy, financial services, retail, transportation and telecommunications are already working with NVIDIA NIM microservices for Llama. Among the first to access the new NIM microservices for Llama 3.1 are Aramco, AT&T and Uber.

Trained on over 16,000 NVIDIA H100 Tensor Core GPUs and optimized for NVIDIA accelerated computing and software — in the data center, in the cloud and locally on workstations with NVIDIA RTX™ GPUs or PCs with GeForce RTX GPUs — the Llama 3.1 collection of multilingual LLMs is a collection of generative AI models in 8B-, 70B- and 405B-parameter sizes.

New NeMo Retriever RAG Microservices Boost Accuracy and Performance

Using new NVIDIA NeMo Retriever NIM inference microservices for retrieval-augmented generation (RAG), organizations can enhance response accuracy when deploying customized Llama supermodels and Llama NIM microservices in production.

Combined with NVIDIA NIM inference microservices for Llama 3.1 405B, NeMo Retriever NIM microservices deliver the highest open and commercial text Q&A retrieval accuracy for RAG pipelines.

Enterprise Ecosystem Ready to Power Llama 3.1 and NeMo Retriever NIM Deployments

Hundreds of NVIDIA NIM partners providing enterprise, data and infrastructure platforms can now integrate the new microservices in their AI solutions to supercharge generative AI for the NVIDIA community of more than 5 million developers and 19,000 startups.

Production support for Llama 3.1 NIM and NeMo Retriever NIM microservices is available through NVIDIA AI Enterprise. Members of the NVIDIA Developer Program will soon be able to access NIM microservices for free for research, development and testing on their preferred infrastructure.

For more information, visit www.nvidia.com.

SANTA CLARA, CA, July 23, 2024 – AMD announced that AMD president Victor Peng is retiring effective August 30, 2024. He will continue to serve on the AMD executive team in an advisory role and support the transition until his retirement date.

“Victor re-joined AMD in 2022 following the acquisition of Xilinx and played an important role successfully integrating and scaling our embedded business and leading our cross-company AI strategy,” said AMD chair and CEO Dr. Lisa Su. “Under his leadership, AMD became the industry’s #1 provider of FPGA and adaptive computing solutions. On behalf of the AMD Board, executive leadership team and the thousands of employees who have worked with him, I want to thank Victor for his outstanding leadership and wish him the best in his retirement.”

Peng retires with over 40 years of experience defining and delivering leadership technologies across FPGAs, SoCs, GPUs and high-performance CPUs. He has served as president at AMD since February 2022 when he rejoined the company after the acquisition of Xilinx, where he spent 14 years, most recently serving as president, CEO and member of the board of directors.

As part of the transition, Senior Vice President of the Artificial Intelligence Group (AIG) Vamsi Boppana will expand his current responsibilities to include the AMD Instinct data center AI accelerator business. Boppana joined Xilinx in 2008 and has served in a variety of technical and business leadership positions. He is currently responsible for cross-company AI software and ecosystem development and AI hardware roadmaps. Senior Vice President and General Manager, Adaptive and Embedded Computing Group Salil Raje will continue in his role leading the AMD embedded business. Boppana and Raje will now report to AMD Chair and CEO Dr. Lisa Su.

About AMD

For more than 50 years AMD has driven innovation in high-performance computing, graphics and visualization technologies. Billions of people, leading Fortune 500 businesses and cutting-edge scientific research institutions around the world rely on AMD technology daily to improve how they live, work and play. AMD employees are focused on building leadership high-performance and adaptive products that push the boundaries of what is possible.

For more information, visit AMD website.

Avnet announces the launch of a new product brand Tria and corresponding business called Tria Technologies to consolidate its compute design and manufacturing. The Tria brand will be the new name for embedded compute boards, systems and associated design and manufacturing services at Avnet.

“The new brand embodies Avnet’s unique ability to deliver standalone modular embedded compute solutions in a world where OEMs are increasingly looking to move from their own chip-down manufacturing to part- or full- pre-made embedded compute platforms,” said Thomas Staudinger, president of Embedded Solutions, Avnet. “It brings together all of Avnet’s compute design and manufacturing capabilities under one brand.”

The Tria Technologies team will design and manufacture standard embedded compute products, and will make custom designs for customer projects. Tria products and services get customers from design to mass production in much shorter time, with improved products and reduced risk to their business model. The Tria modules can be used “as-is” in a product design, or as a starting point for customization. The modules unlock huge computing potential for OEMs that would otherwise have to either start from scratch, or compromise in product design by using an off-the-shelf compute product.

“Tria products and services add significant value for Avnet customers and are a differentiator for the company’s supplier partners,” said Phil Gallagher, Avnet CEO. “As more OEMs look to offload risk and outsource complex manufacturing, they are moving to a modular approach with minimal compromise in size or capability. Avnet, through Tria, is uniquely positioned to help customers deliver on this strategy.”

The Tria brand represents design and manufacturing capabilities and teams all over the world, including the Americas, Europe and Asia. It builds on Avnet’s established market-leading embedded compute and advanced applications solutions, with in-house design and manufacturing campuses in Europe and extended design and manufacturing capabilities in North America and Asia.

“By bringing these teams together under one new global brand, Avnet is addressing a need we see from our customers for comprehensive embedded compute and system design and manufacturing solutions,” explained Staudinger. “Tria represents a step change in what OEMs can achieve in their product design by making it easier to leverage the latest technology and get ahead of the competition.”

The business will build on decades of experience delivering compute and system design services for OEMs on every continent, putting its technology into everything from medical devices to household appliances for globally recognized brand names. Tria’s compute modules have won accolades and recognition across the industry, collaborating closely with partners including Qualcomm Technologies, Inc. The business will remain a wholly owned subsidiary of Avnet, connected to Avnet’s global distribution network and collaborating with Avnet’s other solutions businesses.

For more information, please visit www.Tria-technologies.com.

About Avnet

As a leading global technology distributor and solutions provider, Avnet has served customers’ evolving needs for more than a century. They support customers at each stage of a product’s lifecycle, from idea to design and from prototype to production. Their unique position at the center of the technology value chain enables us to accelerate the design and supply stages of product development so customers can realize revenue faster. Decade after decade, Avnet helps its customers and suppliers around the world realize the transformative possibilities of technology.

Learn more about Avnet at www.avnet.com.

LONDON, UK, July 22, 2024 – Nscale, a fully vertically integrated AI cloud platform, announced the acquisition of Kontena, a leader in high-density modular data centers and AI data center solutions.

This acquisition marks a significant step forward in Nscale’s mission to provide the infrastructure backbone to the growing generative AI market through cost-effective, high-performance solutions that unlock AI’s full potential.

Jef Laurijssen, CEO of Kontena, commented: “Joining forces with Nscale provides us with an incredible opportunity to accelerate the development and deployment of cutting-edge generative AI data center solutions. Our combined expertise will enable us to deliver unparalleled value to our customers in the AI and HPC markets.”

Capitalizing on Kontena’s innovative KONNECT ecosystem combined with Nscale’s extensive infrastructure capabilities, the two companies will deliver high-performance solutions. Kontena’s flagship product, the EDGE data room, is a fully modular generative AI data center solution designed to meet the complex demands of advancing AI development. The EDGE data room is one of the world’s first modular solution deploying AI infrastructure on-premises and in remote locations, far quicker and at lower cost than traditional Tier 3 data centers.

Nscale’s acquisition of Kontena bolsters its commitment to sustainability. Kontena’s modular AI data center solutions will enable Nscale to deliver faster and more cost-effective deployments for customers at its 100% renewable data center sites in Norway and the US.

Joshua Payne, CEO of Nscale, commented: “The acquisition of Kontena allows Nscale to design, build, and deploy bespoke GPU clusters at scale for global Generative AI customers more quickly and more cost-effectively than the competition. Building Kontena into the Nscale value chain will allow us to deliver bespoke GPU superclusters and data center builds for our large supercluster and hyperscale customers across Nscale’s 500MW of greenfield data center capacity. This modular system can be deployed in Nscale’s data centers, on-premise, or at the edge to deliver unrivalled speed, performance, and efficiency on GenAI workloads. This is an important step towards our goal of vertical integration.”

This acquisition underscores Nscale’s dedication to driving innovation and delivering exceptional value to its customers. It follows Nscale’s recent announcement of a strategic partnership with Open Innovation AI, a leading GPU orchestration platform in MENA, targeting the deployment of 30,000 GPUs over the next 3 years, further solidifying its commitment to AI infrastructure and optimized workloads for global markets.

About Nscale

Nscale is a fully vertically integrated AI GPU Cloud provider delivering compute to the generative AI market at scale. Leveraging its 60MW renewable energy-powered data center in Norway and a pipeline of over 500MW of greenfield data centers in the US. Nscale enables customers to run efficient and scalable AI training, fine-tuning, and compute-intensive workloads, supporting advanced AI research and development. Nscale provides the AI infrastructure backbone to the generative AI market.

About Kontena

Founded in 2018, Kontena specializes in high-density data canters and HPC solutions, combining innovation with practicality. The company recently collaborated with ElioVP and Bluesio to develop better and more innovative AI and HPC solutions.

For more information about Nscale’s AI & HPC solutions and the Kontena acquisition, visit nscale.com.

SANTA CLARA, CA, July 11, 2024 – AMD announced the signing of a definitive agreement to acquire Silo AI, the largest private AI lab in Europe, in an all-cash transaction valued at approximately $665 million. The agreement represents another significant step in the company’s strategy to deliver end-to-end AI solutions based on open standards and in strong partnership with the global AI ecosystem. The Silo AI team consists of world-class AI scientists and engineers with extensive experience developing tailored AI models, platforms and solutions for leading enterprises spanning cloud, embedded and endpoint computing markets.

Silo AI CEO and co-founder Peter Sarlin will continue to lead the Silo AI team as part of the AMD Artificial Intelligence Group, reporting to AMD senior vice president Vamsi Boppana. The acquisition is expected to close in the second half of 2024.

“Across every industry, enterprises are looking for fast and effective ways to develop and deploy AI solutions for their unique business needs,” said Vamsi Boppana, senior vice president of the Artificial Intelligence Group at AMD. “Silo AI’s team of trusted AI experts and proven experience developing leadership AI models and solutions, including state-of-the-art LLMs built on AMD platforms, will further accelerate our AI strategy and advance the build-out and rapid implementation of AI solutions for our global customers.”

Based in Helsinki, Finland, with operations in Europe and North America, Silo AI specializes in end-to-end AI-driven solutions that help customers integrate AI quickly and easily into their products, services and operations. Their work spans diverse markets, with customers including Allianz, Philips, Rolls-Royce and Unilever. Silo AI also creates state-of-the-art open source multilingual LLMs, such as Poro and Viking, on AMD platforms in addition to its SiloGen model platform.

“At Silo AI, our mission from the start has been to build an AI flagship company. Today’s announcement is a logical next step in that pursuit as we join forces with AMD to shape the future of AI computing,” said Peter Sarlin, CEO and co-founder of Silo AI. “We have a well-established history of building successful AI products and delivering value to our customers. We look forward to becoming part of AMD to further scale our impact and develop enterprise solutions and AI models that address the most complex challenges with deploying AI at scale today.”

“As a leading European AI company, Silo AI has been a great long-term partner for us in many AI-related projects. We look forward to the enhanced capabilities the combination of AI technologies and innovative compute solutions from AMD will bring,” said Nishant Batra, chief strategy and technology officer (CSTO), Nokia.

Silo AI marks the latest in a series of acquisitions and corporate investments to support the AMD AI strategy. AMD has invested over $125 million across a dozen AI companies in the last 12 months and also acquired Mipsology and Nod.ai to expand the AMD AI ecosystem, support partners and advance leadership AMD computing platforms.

“Silo AI has been a pioneer in scaling large language model training on LUMI, Europe’s fastest supercomputer powered by over 12,000 AMD Instinct MI250X GPUs,” said Dr. Pekka Manninen, director of Science and Technology at CSC-IT Center for Science, Finland. “Together with university collaborators, they have trained state-of-the-art open-source models for EU languages, such as the Nordic Poro and Viking models. We have collaborated extensively with the team in optimizing the software layer, allowing for efficient training of AI models on LUMI.”

“One year ago, Combient partnered with Silo AI, a leading AI lab with 300 AI scientists and engineers. Together with Marcus Wallenberg, we initiated Combient in 2015 to accelerate digitalization and AI adoption for 38 of the largest Nordic companies, with a total turnover of €270 billion, such as H&M, IKEA, Saab, KONE and Ericsson,” said Mats Agervi, CEO of Combient. “Today’s acquisition underscores the capabilities of Silo AI, opening up expanded opportunities for increased value creation in Europe and beyond.”

About AMD

For more than 50 years AMD has driven innovation in high-performance computing, graphics and visualization technologies. Billions of people, leading Fortune 500 businesses and cutting-edge scientific research institutions around the world rely on AMD technology daily to improve how they live, work and play. AMD employees are focused on building leadership high-performance and adaptive products that push the boundaries of what is possible.

For more information, visit the AMD website.