Microsoft and AMD have strengthened their partnership through chipset collaborations across various flagship devices and services.

A new generation of building blocks for emerging tech

Next-gen Semiconductors

Microsoft

Companies developing semiconductors for other emerging tech applications, including quantum and edge computing.

Honor has partnered with AMD to ensure a strong supply chain for its future devices.

HONOR

Acer has partnered with AMD to introduce an affordable Chromebook to the market.

Acer

IBM and AMD have entered into a joint development agreement to drive the progress of cloud confidential computing and artificial intelligence (AI).

New data privacy regulations have opened up space for a new wave of compliance-focused startups.

Digital Privacy Tools

Encrypted communications and data exchanges for internal and external collaboration around sensitive data.

Partnered with OnLogic, an edge IoT hardware manufacturer, to launch a series of industrial servers that enable AI, deep learning, data analytics, and advanced automation at the network edge. The solution combines AMD's and EPYC chips with OnLogic's edge computing hardware.

Generating, collecting, and analyzing enterprise data will never be the same.

Edge Computing

OnLogic

Companies that provide software that facilitates analytics, cyber security, and IoT at the edge.

MediaTek is partnered with AMD for chip solutions.

MediaTek

Companies that develop semiconductors that can support high-bandwidth and low-latency requirements of 5G networks and other wireless communication technologies.

AMD and HP have joined forces to collaborate on developing processing power solutions for the future. This partnership aims to leverage AMD's expertise in advanced processors and HP's innovation in computing technology.

ConsenSys

W3BCLOUD

AMD has partnered with SK Gaming to provide equipment for the organization's players, staff, and facilities in Germany.

SK Gaming

AMD and Oxide Games have announced a partnership to develop graphics technologies for the cloud gaming market. The collaboration will leverage AMD's gaming hardware and graphics expertise along with Oxide's development capabilities and Nitrous game engine.

Oxide Games

To use AMD's 2nd Gen AMD EPYC processors and AMD Radeon Instinct MI25 GPUs in Microsoft Azure NVv4 virtual machines (VMs).

Companies that develop semiconductors to improve the performance of data center infrastructure.

the N2D VMs on Google Compute Engine powered by 2nd Gen AMD EPYC processors are a product offering resulting from the collaboration between AMD and Google Cloud.

Alphabet

AMD has partnered with the Mercedes-AMG Petronas Formula One Team and will sponsor the team by having their logo prominently displayed on the team's car, race suits, and trackside infrastructure.

MERCEDES-AMG

AMD and Microsoft have collaborated on a significant, multi-year co-engineering program to develop the 15-inch Microsoft Surface Laptop powered by AMD Ryzen Microsoft Surface Edition processors.

This collaboration enables Dell EMC to deliver powerful solutions capable of handling demanding workloads in a variety of cloud environments.

Dell

To develop a custom processor for Project Scarlett which builds upon the AMD Ryzen "Zen 2" CPU core and a "Navi" GPU based on next-generation Radeon RDNA gaming architecture including hardware-accelerated raytracing.

AMD and Samsung have formed a multi-year strategic partnership to collaborate on developing mobile graphics technologies based on AMD Radeon graphics IP.

Samsung Electronics

Companies that develop low-power, high-performance semiconductors for sensors, wearables, and other connected devices.

AMD and HOSTKEY have collaborated to release AMD EPYC processor-based servers in HOSTKEY's infrastructure

Hostkey

AMD and NTT DATA have partnered to deploy AMD EPYC processors in NTT DATA's datacenter.

NTT Data

Partnered with Clearblade, an edge IoT software provider, to offer an edge-to-cloud computing platform featuring the AMD Ryzen Embedded V1000 processor. The solution enables enterprises to act on data retrieved from IoT devices.

ClearBlade

ConsenSys and AMD have formed a partnership called "W3BCLOUD" to develop blockchain datacenter solutions.

Bringing the benefits of blockchain to the enterprise

Enterprise Blockchain Solutions

Companies and protocols that offer industry and context specific blockchain-based solutions for enterprise applications

Broadcom

NVIDIA

Exploring the limitless possibilities of AI

Generative AI Applications

<div>
 
 Hugging Face is a data science and machine learning platform that originally started as a chatbot for teenagers. The company has since evolved into a hub for AI development, providing an open-source environment where developers can host, train, and manage AI models. Hugging Face is known for its GitHub-like platform that supports the collaborative development of AI technologies, enabling users to share and improve upon machine learning models and datasets​. Additionally, Hugging Face offers multilingual models to further extend its utility to a global audience. The models are accessible through the Transformers library, facilitating model loading and fine-tuning pre-trained models on custom datasets, which is also accessible via an API.&nbsp;
 
 
 In April 2023, the company launched HuggingChat, a chatbot that can handle various tasks like writing code, drafting emails, and composing lyrics. In February 2024, the company launched Hugging Chat Assistants, a tool that allows users to create their own versions of chatbots. These chatbots can be personalized with a specific name, avatar, and description, and can operate using various open source LLMs like Meta's Llama 2, Mistral's Mixtral, and Cohere&rsquo;s 
 <a href="https://sp-edge.com/updates/28466">
 Command R+,
 </a>
 allowing users to choose the model best suited to their needs.
 
 
 
 
 Funding and financials&nbsp;
 
 
 In August 2023, the company raised USD 235 million in a Series D funding round from Google, Amazon, NVIDIA, Intel, AMD, Qualcomm, IBM, Salesforce, and Sound Ventures, bringing its post-money valuation to USD 4.5 billion. It planned to use the funds to further expand its efforts in research, enterprise, and startups and is set to recruit new talent to support its growth. 
 
 
 
</div>

Essential AI, co-founded by former Google employees Ashish Vaswani and Niki Parmar, offers AI products that learn and streamline workflows, automating time-consuming and repetitive tasks. With ongoing human input and technical advancements, its language learning models (LLMs) are designed to empower users to tackle increasingly complex challenges and enhance essential skills, thereby improving productivity.Key customers and partnershipsIn January 2024, the company<a href="https://sp-edge.com/updates/26070"> partnered with Google</a> to use Google Cloud as its primary cloud provider to create LLMs that aim to increase business efficiency by automating routine tasks.Funding and financialsEssential AI raised <a href="https://sp-edge.com/updates/24853">USD 56.5 million</a> in a Series A funding round in December 2023 led by March Capital, The funds were to be used for deepening the company's research and development efforts with focus on its full-stack AI products that aim to augment productivity by automating monotonous workflows.

Using AI to mimic and understand human language

Natural Language Processing Tools

The toolkit to build machine learning applications at scale

Machine Learning Infrastructure

Hugging Face, a French-American firm, offers an open-source and ML platform that allows developers and ML practitioners to collaborate and develop entire AI/ML models from training to deployment.Hugging Face offers a range of tools for data science hosting and development. These include a platform akin to GitHub for AI code repositories, models, and datasets, along with web applications for demonstrating AI-powered applications. Additionally, it provides libraries for tasks such as dataset processing and model evaluation. It has an enterprise version of the platform that supports both software-as-a-service and on-premises deployments.The company's paid features encompass AutoTrain, which streamlines and automates the process of training AI models; Inference API, which enables developers to host models without the need to manage underlying infrastructure; and Infinity, which is aimed at enhancing the processing speed of in-production models with data.In addition, it also offers pre-trained NLP models like BERT, GPT-2, and GPT-3 in its repository, known as the "Model Hub," which serves as a platform for sharing, downloading, and fine-tuning pre-trained models, fostering collaboration and reusability in NLP applications.Key customers and partnershipsAs of February 2024, Hugging Face serves over 10,000 customers across 50,000+ organizations. Its revenue mainly stems from consulting contracts with major AI companies like NVIDIA, Amazon, and Microsoft.Hugging Face entered a strategic partnership with <a href="https://sp-edge.com/companies/314571">Google Cloud</a> to allow developers working on Hugging Face to <a href="https://sp-edge.com/updates/25911">leverage Google Cloud's infrastructure</a> and <a href="https://sp-edge.com/companies/203208">Amazon</a> to make its platform available on the AWS marketplace. It also partnered with SafeCoder, a code assistant solution, to incorporate it within the Hugging Face platform to help customers develop new codes as well as improve existing code while preserving code privacy. In addition, it partnered with <a href="https://sp-edge.com/companies/431594">Graphcore</a> to release 10 new transformer models designed for Graphcore's IPUs.Funding and financialsIn August 2023, the company raised USD 235 million in a Series D funding round from Google, Amazon, NVIDIA, Intel, AMD, Qualcomm, IBM, Salesforce, and Sound Ventures, bringing its post-money valuation to USD 4.5 billion. It planned to use the funds to further expand its efforts in research, enterprise, and startups and is set to recruit new talent to support its growth.It was also reported that the company generated a revenue of USD 10 million in 2021 and maintained an annualized revenue ranging from USD 30 million to USD 50 million.

Foundation Models

<div>
 
 Hugging Face, a French-American firm, initially ventured into the development of chatbot applications before pivoting toward the development of a comprehensive platform for machine learning and natural language processing (NLP). Foundation models are central to Hugging Face's offerings which constitute an expansive open collection. Among these models are transformer-based solutions:
 
 
 1.BERT, created by Google, can be used for more accurate language understanding by capturing contextual relationships and dependencies in text data
 
 
 2.GPT-2, developed by OpenAI, can be used for natural language processing tasks, including text generation and comprehension tasks
 
 
 3.RoBERTa, created by researchers at Facebook AI, can be used for a wide range of natural language processing tasks, including text classification, language generation, and sentiment analysis
 
 
 Additionally, Hugging Face offers multilingual models to further extend its utility to a global audience. The models are accessible through the Transformers library, facilitating model loading and fine-tuning pre-trained models on custom datasets, which is also accessible via an API.&nbsp;
 
 
 
 
 The company launched Watsonx.ai, a geospatial foundation model developed in collaboration with IBM, in August 2023. It's reportedly the platform's largest geospatial model and the first open-source AI foundation model with NASA. Trained on Harmonized Landsat Sentinel-2 satellite data, it claims to offer a 15% improvement in tasks like flood and burn scar mapping with minimal labeled data. It's adaptable for tasks like deforestation tracking and greenhouse gas monitoring.
 
 
 In April 2024, 
 <a href="https://sp-edge.com/updates/28611">
 Hugging Face introduced Idefics2, 
 </a>
 a multimodal model to process text and image inputs and generate text responses. The model has 8 billion parameters, an open license, and improved OCR (Optical Character Recognition) capabilities. 
 
 
 Key customers and partnerships&nbsp;
 
 
 As of August 2023, the platform served 10,000 customers across 50,000+ organizations on the platform.&nbsp;
 
 
 In April 2023, the company partnered with Snorkel AI, specializing in data-centric AI and machine-learning solutions to make foundation models accessible to enterprises for various use cases. As of August 2023, the company had collaborated with major cloud providers like NVIDIA, Amazon, and Microsoft.
 
 
 <a href="https://sp-edge.com/updates/23926">
 In November 2023
 </a>
 , Dell Technologies collaborated with Hugging Face to enable on-site deployment of Gen AI models, addressing enterprise worries about cloud expenses and data protection. The partnership offers an AI model library, infrastructure options, custom deployment tools for Dell servers, and access to training resources, simplifying enterprise processes. In January 2024, Hugging Face entered a 
 <a href="https://sp-edge.com/updates/25911">
 strategic partnership with Google Cloud
 </a>
 to allow developers working on Hugging Face to leverage Google Cloud's infrastructure.
 
 
 In February 2024, 
 <a href="https://sp-edge.com/updates/27067">
 Hugging Face partnered NVIDIA and ServiceNow,
 </a>
 a provider of workflow solutions, to introduce StarCoder2, a family of open-access LLM code generation.
 
 
 Funding and financials&nbsp;
 
 
 In August 2023, the company raised USD 235 million in a Series D funding round from Google, Amazon, NVIDIA, Intel, AMD, Qualcomm, IBM, Salesforce, and Sound Ventures, bringing its post-money valuation to USD 4.5 billion. It planned to use the funds to further expand its efforts in research, enterprise, and startups and is set to recruit new talent to support its growth.&nbsp;
 
 
 It was also reported that the company generated a revenue of USD 10 million in 2021 and maintained an annualized revenue ranging from USD 30 million to USD 50 million.
 
 
 
</div>

Empowering Tomorrow's Innovations with Generative AI Infrastructure

Generative AI Infrastructure

<div>
 
 Moreh is a US-Korean AI software tools provider that optimizes and creates AI models. Its flagship product is AI software, MoAI, which provides access to AI inference servers for training and deploying large language models (LLMs). The MoAI platform is powered by an on-the-fly IR constructor, a graph-level compiler, and a distributed runtime system. The MoAI platform primarily supports AMD ROCm and it has the capability to train and deploy multi-billion or multi-trillion parameter models,and&nbsp; program anything that is needed for pretraining, fine-tuning, compression. Furthermore, it has the ability to&nbsp; serve, scale to many GPUs/NPUs by automatic parallelization and optimization, virtualize all GPU/NPUs in a cluster for higher utilization and failover, and de-couple AI infrastructure from the specific hardware vendor.&nbsp;
 
 
 Moreh claims its platform is similar to NVIDIA&rsquo;s CUDA and it is compatible with existing machine-learning frameworks like Meta&rsquo;s Pytorch, Google&rsquo;s TensorFlow, applications, and AI models that are not compatible with NVIDIA. Korean telecommunication KT claims that Moreh&rsquo;s technologies work and perform above NVIDIA&rsquo;s DGX in terms of performance speed and GPU memory capacity. As per Moreh, AMD&rsquo;s MI250 Instinct accelerator powered by the MoAI platform has shown a 116% higher GPU throughput than NVIDIA&rsquo;s A100, and it is also claimed that AI developers can reduce a tenth of the total time required to initiate large AI models via its software.&nbsp;
 
 
 Moreh completed the training of Korean language-based LLM with 211 billion parameters and aimed to release the model as open-source in the latter part of 2023.&nbsp;
 
 
 Key customers and partnerships
 
 
 Korean telecommunication KT has been working with Moreh since 2021 to build a cost-effective, scalable AI infrastructure powered by AMD GPUs and MoAI software.&nbsp;
 
 
 MoAI is currently powering over 2,000 GPUs for commercial laaS/PaaS clouds and on-premise LLM training systems.&nbsp;
 
 
 Funding and financials
 
 
 In 
 <a href="https://sp-edge.com/updates/23114">
 October 2023
 </a>
 , Moreh raised USD 22 million in a Series B funding round led by AMD and KT. The company plans to use the funding for R&amp;D, product expansion, and hiring additional staff.&nbsp;
 
 
 Moreh claimed to begin generating revenue in 2021 and aimed to reach ~USD 30 million by the end of 2023.
 
</div>

Fireworks.ai offers generative AI platform as a service. We optimize for rapid product iteration building on top of gen AI as well as minimizing cost to serve.

Essential AI creates AI solutions that enhance efficiency through the automation of labor-intensive and repetitive workflows. Through a combination of human feedback and technological advancements, Essential AI's Large Language Models (LLMs) will enable users to tackle increasingly challenging tasks, unlocking essential skills and amplifying organizations' impact on society.

Moreh is an AI start-up that focuses on maximizing the scalability of the AI market. Its platform enables users to accelerate AI applications seamlessly on a variety of processors and on diverse system scales, from single chips to large clusters, with the help of its compiler technology. Its global team is comprised of architects and engineers with comprehensive capabilities for AI infrastructure. Founded in 2020, Moreh is based in Seoul, South Korea.

Hugging Face is an open-source and platform provider of machine learning technologies. Their aim is to democratize good machine learning, one commit at a time. Hugging Face was launched in 2016 and is headquartered in New York City.

W3BCLOUD is an exclusive joint venture between Advanced Micro Devices (NASDAQ:AMD), a high-performance computing, graphics and visualization technologies company, and ConsenSys, a blockchain software development and product company, building a global network of high-performance data centers to enable Web 3.0 and the blockchain economy.

Soft Machines is a semiconductor company focusing on co-developing VISC architecture-based processor and SoC products for all major performance computing platforms. The company was founded in 2006 and is based in Santa Clara, California.

InContext Solutions is the global leader in scalable web-based virtual reality (VR) shopping and retail solutions, allowing manufacturers and retailers to simulate real in-store shopping situations to ideate, evaluate and activate all types of merchandising, display, layout and other in-store shopping experiences within a VR store environment. Use of InContext’s ShopperMX™ platform delivers substantial cost savings and reduces capital expenditures by allowing clients to test and evaluate ideas in the VR store environment—as opposed to doing so in physical stores—while reducing competitive visibility.  Founded in 2009, we provide a unique, in-depth perspective on what consumers see on the shelf, how this drives their purchase behavior, and why. With custom virtual reality research and ShopperMX™—the world’s first cloud-based virtual reality simulation and shopper insights platform that enables users to create and manipulate 3D simulations of shopper experiences and retail environments—InContext Solutions provides the data and insights needed to make faster, smarter and more profitable business decisions.  We show clients how their ideas will play out in the real world—before they invest. From ideation of new in-store concepts, to evaluation with test shoppers, to activation in the market, our goal is to give clients confidence in their ideas so they can create winning in-store ideas and make smart business decisions. It’s hindsight, upfront.

BlueStacks is pioneering the next generation of cloud technology for the mobile ecosystem.   BlueStacks App Player enables the universe of Android games and apps to run fast and full screen on Windows PCs. App Player is powered by BlueStacks' patented LayerCake virtualization technology and has 145 million users.  BlueStacks 2, released December 3, 2015, users could now run multiple apps at once and navigate between each app in a browser-like tabbed interface.  With BlueStacks TV, released April 7, 2016, BlueStacks allows users to stream their gameplay directly to Twitch.tv with one-click.

ViVu delivers smarter videoconferencing solutions for global communications.  The companyâ€™s browser-based video platform is easy-to-use, affordable and requires zero download â€“ within minutes, people can videochat and share their desktops with small teams or up to thousands of people at once. Fortune 500 companies trust ViVu to power a better online meeting experience than legacy players. ViVu is compatible with PCs, Macs, Linux, mobile devices and the iPad. Go to www.vivu.tv to learn more about smarter videoconferencing.

Hitex can look back on more than 30 years of company history. After the success of the first in-circuit emulators, Hitex began marketing worldwide: the company founded a branch in Great Britain and is represented by sales partners in all other important regions of the globe.  In 1997, Hitex acquired the development tools branch of Kontron, thereby strengthening its position in the market.  Since the beginning of 2003, Hitex belongs to Infineon Technologies AG. This connection guarantees Hitex a solid and secure future and allows Hitex to maintain and extend its existing partnerships with other semiconductor manufacturers as an independent company.

Advanced Micro Devices (AMD) is a semiconductor company that designs and develops graphics, processors, and media solutions for both commercial and consumer markets. The company’s products portfolio includes desktop graphics, laptop graphics, professional graphics, desktop processors, laptop and tablet processors, server processors, embedded processors, chipsets, and solid state drives (SSD). Its solutions portfolio includes APU-based systems for tablets, laptops, and desktops; cloud, virtualization, and HPC server solutions; professional graphics solutions; embedded solutions; software solutions; and pro solutions.   AMD focuses on innovations related to gaming technologies, surround computing, Pro graphics technologies, enhanced media, business technologies, server technologies, embedded technologies, security technologies, and mobility technologies.   AMD Opteron, SeaMicro Freedom, AMD Athlon, AMD Sempron, AMD Turion, AMD Phenom, AMD FX APU, AMD Geode, AMD R-Series, G-Series, AMD Radeon, and AMD FirePro are some of the brands offered by AMD. The company provides x86 microprocessors for desktop PCs under the AMD A-Series, AMD E-Series, AMD FX CPU, AMD Athlon CPU and APU, and AMD Sempron APU and CPU brands.   AMD was founded in 1969 by Jerry Sanders and is based in California, United States with presence in Canada, France, Spain, the United Kingdom, China, and more.

<div> Advanced Micro Devices (AMD) is a semiconductor company that designs and develops graphics, processors, and media solutions for both commercial and consumer markets. The company&rsquo;s products portfolio includes desktop graphics, laptop graphics, professional graphics, desktop processors, laptop and tablet processors, server processors, embedded processors, chipsets, and solid state drives (SSD). Its solutions portfolio includes APU-based systems for tablets, laptops, and desktops; cloud, virtualization, and HPC server solutions; professional graphics solutions; embedded solutions; software solutions; and pro solutions. AMD focuses on innovations related to gaming technologies, surround computing, Pro graphics technologies, enhanced media, business technologies, server technologies, embedded technologies, security technologies, and mobility technologies. AMD Opteron, SeaMicro Freedom, AMD Athlon, AMD Sempron, AMD Turion, AMD Phenom, AMD FX APU, AMD Geode, AMD R-Series, G-Series, AMD Radeon, and AMD FirePro are some of the brands offered by AMD. The company provides x86 microprocessors for desktop PCs under the AMD A-Series, AMD E-Series, AMD FX CPU, AMD Athlon CPU and APU, and AMD Sempron APU and CPU brands. AMD was founded in 1969 by Jerry Sanders and is based in California, United States with presence in Canada, France, Spain, the United Kingdom, China, and more. </div>

AMD Delays Desktop CPU Zen 5 Processor Launch - What's Going On?

AMD Ventures

Companies that provide software to enable users to run their applications at the edge.

Companies that produce hardware and infrastructure such as routers and servers that are not embedded on devices.

Companies that produce embeddable hardware, including microchips, that allow devices to transmit and process data.

Companies that provide software used in data centers to carry out operations effectively.

Companies that offer datacenter infrastructure to facilitate edge computing, including micro data centers deployable to more strategic locations.

Technologies bringing about a new reality

Extended Reality

Companies developing XR headsets and relevant sub-components (displays, sensors, and processors). Also includes complementary XR hardware (tracking devices, haptic vests, and gloves)

Companies offering engines that enable the development of AR/VR content, also includes companies offering capabilities to capture and create 3D images for immersive environments

Companies offering AR/VR solutions or toolkits for specific industry applications, including VR game developers

Companies offering location-based AR/VR experiences

Platforms and frameworks that help developers build and train ML models.

Platforms that deploy and host the trained and tested models in production and integrate them into applications through APIs.

Platforms that generate artificial data that mimics the characteristics of real data, which is then used to train ML models at scale.

Platforms that help monitor and manage ML models in training and deployment to track performance, conduct variance analysis, and optimize performance.

Makers of hardware such as CPUs, GPUs, and other application-specific hardware required to train and run ML workloads.

Integrated solutions that handle the end-to-end processes of developing, training, deploying, and monitoring ML models.

Data exchange providers and platforms that offer data labeling services via manual and/or software methods, which are used as input to train ML models.

Companies that develop semiconductors that focus on automotive applications such as advanced driver assistance systems (ADAS) and autonomous driving as well as in-car entertainment and communication systems.

Integrated solutions that handle various processes such as model training, fine-tuning, model deployment, monitoring, and maintenance in working with and deploying LLMs

Platforms that provide hardware such as high-performance CPUs, GPUs, or TPUs, including cloud-based solutions that are commonly used to train and run GenAI models efficiently

Platforms that assist with fine-tuning pre-trained GenAI models or custom models tailored to specific use cases. Includes services that train models from scratch or use existing models

Platforms that store and retrieve training data in vector databases for access during the model training phase

Services to deploy GenAI models (on-premises or cloud-based) into production environments and integration tools to support existing systems and workflows

Ongoing monitoring of GenAI models to ensure performance. Includes regular model retraining, performance optimization, and troubleshooting

Platforms that assist in designing and refining prompts or instructions to GenAI models to get the desired responses or outcomes

Platforms that develop and implement strategies, policies, and practices to ensure the responsible, secure, ethical, and safe use of Generative AI technologies within an organization.

ANALYST_QUICK_TAKE

INCUMBENTS_PRESENT

PROMINENT_CATEGORY

<div>
 AMD unveiled information on their most recent AI PC architecture, which includes a neural processing unit (NPU) as part of the new AMD Ryzen AI chips.
 The advanced Ryzen AI processor, known as Strix Point, marks the first-ever x86 processor integrated with an NPU. Its notable elements entail 16 RDNA 3.5 GPU compute units, and 12 Zen CPU cores that can manage 24 threads at the same time. In addition, the NPU, backed by the AMD XDNA 2 architecture, can perform at 50 TOPS.
 The company asserts that the new AI chips, alongside the built-in NPU, can deliver AI models with a performance per watt rate that is 35 times more than a standard central processing unit. Furthermore, AMD purports that the NPUs can operate 8 times more efficiently in comparison to an integrated graphics processing unit. 
</div> Analyst QuickTake: 
 AMD is consistently launching chips to improve compute speed for AI workloads. In <a href="https: 
//sp-edge.com/updates/24707"> December 2023 </a> , AMD introduced the Instinct MI300X and MI300A accelerator chips and the Ryzen 8040 Series processors, designed to enhance AI processing. These Instinct chips, with high memory bandwidth, are intended for GenAI and LLM training and inferencing.

AMD unveils new AI PC architecture for its Ryzen AI chips to increase AI capacity

Cloud-native Tech

Cloud Tech (Q2 2024): Funding rebounds amid IBM’s HashiCorp and RHEL AI plays

XR and MEP (Q4 2023): XR GenAI adoption accelerates alongside funding rebound

Offers various GPUs and microprocessors that can undertake various ML processors and tasks

ML Hardware

Instinct MI200X AI chip

AMD, through its subsidiary, Xilinix, offers the "Versal AI Edge" series of microprocessors which can be used to power edge applications.

On-device hardware components

Versal AI Edge Series (Xilinix)

Offers the EPYC 8004 Series of processors, which can be integrated into hardware platforms such as servers and edge gateways to power intelligent edge applications.

EPYC 8004 series

End-to-end hardware solutions to run GenAI models

Hardware infrastructure

Instinct, EPYC, Alveo

End-to-end software stack to develop and train GenAI models

Model development and training

ROCm, Vitis AI

Xilinx's FPGAs (Field-Programmable Gate Arrays) are integrated circuits that can be programmed to perform a wide range of complex digital computations

Hardware manufacturers

Xilinix

Powerful AMD processors empower designers with high-performance capabilities, robust integration, and scalability - expanding the possibilities of embedded applications.

Embedded Products

AMD signs definitive agreement to acquire Silo AI for USD 665 million; looks to bolster AI chip deployment

AMD announces flagship 'Instinct MI325X' GPU for GenAI data center workloads

AMD announces business-focused PC chips with AI processing capabilities

AMD expands Versal adaptive SoC portfolio with AI Edge Series Gen 2 and Prime Series Gen 2

AMD and Arena AI partner to boost GPU performance by leveraging AI technologies

To enhance data center performance and reliability, Samsung Electro-Mechanics and AMD supply high-performance substrates for advanced computing applications.

Fireworks AI

Sequoia Capital

MongoDB

Benchmark

Databricks Ventures

To launch Dell PowerEdge XE9680 Server equipped with the AMD Instinct MI300X Accelerator and ROCm 6 open software platform.

Hitachi

To launch high-performance hybrid cloud and database solutions that aim to streamline operations while reducing environmental impact, reflecting a broader trend towards eco-friendly IT infrastructure.

To leverage Nvidia's RTX GPUs and AMD's Strix CPUs to enable AI-powered features like Microsoft's Copilot Plus on upcoming gaming laptops from Asus and MSI, enhancing user experiences.

To deepen its partnership with Samsung Electronics to develop 3-nanometer chip processing technology.

Azure

To leverage AMD's Instinct MI300X accelerators and ROCm software to power Microsoft's Azure AI services, including Azure OpenAI Service, delivering impressive performance and efficiency for AI workloads.

Sony

AMD and Sony Semiconductor Solutions (SSS) have collaborated to integrate AMD's adaptive computing technology into SSS's latest automotive LiDAR reference design.

Microsoft has partners with AMD, and NVIDIA to introduce DirectX DirectSR technology at the Game Developers Conference 2024.

Samsung partners with AMD to launch first data call using AMD processors on open RAN network.

Raytheon

Collaborating to develop a next-generation multi-chip package for military sensors, funded by a USD 20 million contract. This initiative aims to enhance real-time data processing across ground, maritime, and airborne sensors, featuring advanced interconnect capabilities for improved performance, lower power consumption, and reduced weight

Essential AI

March Capital

Thrive Capital

Google

KB Investment

Franklin Venture Partners

Companies that offer solutions to improve business processes including task automation, facilitating employee training, making resources available for employees to improve knowledge, and providing information to better respond to customer queries efficiently. Also includes solutions targeting customer analysis and strategy formulation.

Dell Technologies and AMD are coming together to unveil an expansion to the Dell Generative AI Solutions portfolio, continuing the work of accelerating advanced workloads and offering businesses more choice to continue their GenAI journeys.

AMD joins as a founding partner of AI Alliance launched by IBM and Meta.

The collaboration introduces the Azure ND MI300x v5 VM series optimized for AI workloads, featuring the AMD Instinct MI300X. (1)

Moreh

NVIDIA and AMD are powering a new line of workstations equipped with NVIDIA RTX Ada Generation GPUs and AMD Ryzen Threadripper PRO 7000 WX-Series CPUs.

Samsung Electronics  collaborated with AMD to advance 5G virtualized RAN (vRAN) for network transformation.

A new generation for mobile connectivity with 5G and beyond

Next-gen Mobile Networks

Companies developing next-generation software solutions for mobile service providers to manage cloud infrastructure and network services

Hitachi Astemo has selected AMD adaptive computing technology to power its new, stereo-format, forward-looking camera for adaptive cruise control and autonomous emergency braking, improving the vision capabilities and helping to increase the safety of next-generation vehicles.

Amazon Web Services

AWS is partnering with AMD to support confidential computing powered by AMD EPYC processors with SEV-SNP technology.

Microsoft Azure is partnering with AMD to use AMD EPYC processors in a range of confidential computing services, bolstering security and trusted execution environments.

Google Cloud

Google Cloud is fully embracing Confidential Computing with AMD EPYC processors, encompassing services like Confidential Spaces, Confidential VMs, and more for enhanced privacy and security.

Hugging Face

Salesforce Ventures

Qualcomm

Intel

Amazon

Sound Ventures

Microsoft collaborated with AMD to help the latter expand into the AI processor market by providing engineering resources.

Samsung partners with AMD to bring multiple generations of high-performance, ultra-low-power AMD Radeon graphics solutions to an expanded portfolio of Samsung Exynos SoCs.

Lenovo

Lenovo has just unveiled two new ThinkPad workstations equipped with hardware from AMD and Nvidia, including AMD Ryzen Pro CPUs and Nvidia’s workstation RTX graphics.

Tesla

Tesla has introduced the new AMD Ryzen chip and 12v li-ion battery for the 2022 Model 3 and Y vehicles

AMD enters into a new partnership with Meta, formerly Facebook to advance semiconductor ecosystem in United States

To bring ray tracing to Halo Infinite Video game

Dell expanding the capabilities of its Dell EMC Integrated Systems for Microsoft Azure Stack HCI with the launch of new Advanced Micro Devices Inc.-based configurations

Samsung is working with AMD on an AMD RDNA 2 architecture-based Exynos chip for mobile devices.

AMD

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