AMD Unveils New Hardware and Software at Advancing AI

In July 2026, Dr Lisa Su, CEO of AMD, and her top execs recently revealed new GPUs, CPUs, and AI tools to empower data centers, telco networks, and robots. Dr Lisa Su, the CEO of AMD, and her team have revealed several major hardware and software innovations at AMD’s Advancing AI event today, all set to power the next generation of data centers, enterprise workloads, and physical AI systems. Spanning hardware and software - from sixth-generation EPYC CPUs and Instinct MI400 GPUs to the new ROCm.ai developer suite – the announcements mark a significant step forward in AMD’s open ecosystem strategy.

The sixth generation of AMD’s EPYC Service CPUs delivers solutions for agentic AI, enterprise, and high-performance computing (HPC) workloads. With agentic AI depending on CPU-powered infrastructure to run agents, coordinate work around the model, and connect to enterprise data and services, the sixth gen matches the right CPU to each stage of the agentic workflow to improve throughput, utilization, and efficiency across the data center. The series, including EPYC 9006 SP7, EPYC 9006 SP8, 9006X SP7, and 9006 LP, is built to match the right processor with the right job.

AMD’s new AI-native developer experience, which is ROCm.ai, is designed to streamline AI development across AMD platforms from initial intent to full production. ROCm.ai unifies deployment, optimization, and AI-assisted tools through three core features:

• ROCm CLI: A new command-line interface for simplified installation, validation, serving, and workload management
• AMD Skills: AMD-authored expertise integrated directly into popular AI coding assistants like Claude, Cursor, and Codex
• Hyperloom: An open-source, agentic system built to automate end-to-end inference optimization.

Together, these tools will deliver a streamlined, unified workflow that will allow developers to install, deploy, and troubleshoot AI workloads faster on AMD hardware. According to AMD, ROCm.ai will boost performance with up to 3.3x faster inference and 2.4x faster training on average.

Looking ahead, the collaboration moves from initial model publication into real-world evaluation and deployment testing. For telecom operators, OTel 2.0 represents a shift toward practical, open-source AI tools tailored for network infrastructure. For AMD, it marks an important proof point for its hardware and ROCm software ecosystem across managed cloud environments.

Impact on the ICT Market

AI is increasingly transforming software development by introducing new tools and methodologies. AI-powered code generation and testing tools can accelerate the development process, ensuring higher quality and fewer bugs. Machine learning models can now analyze user feedback and usage patterns in order to suggest improvements and new features, thus making software development more responsive to user needs. The IT services industry is also witnessing the emergence of AI-driven services, which include AI-powered chatbots for customer support, virtual assistants for IT help desks, and automated IT service management (ITSM) solutions. These services are set to improve customer satisfaction by providing faster and more accurate responses, while also freeing up IT staff to focus on more complex issues.

AI also provides IT professionals and business leaders with advanced analytics tools that offer deep insights into various aspects of operations. Predictive analytics, powered by AI, can forecast market trends, customer behaviors, and operational risks, enabling better strategic planning. These insights help businesses stay ahead of the competition by making informed decisions based on data-driven evidence.

Impact on Artificial Intelligence (AI) in the Hardware Market

The global artificial intelligence in hardware market size was estimated at USD 34.05 billion in 2025 and is predicted to increase from USD 41.58 billion in 2025 to approximately USD 249.05 billion by 2035, expanding at a CAGR of 22.02% from 2026 to 2035.

According to Precedence Research, it encompasses a variety of devices and systems optimized for accelerating AI algorithms, deep learning models, and other computational tasks inherent in AI applications. The AI in the hardware market is driven by the increasing demand for AI-powered applications across various industries, including healthcare, finance, automotive, retail, manufacturing, and entertainment. As AI workloads become more complex and data-intensive, there is a growing need for specialized hardware solutions capable of delivering high performance, energy efficiency, and scalability to support AI innovation and deployment.

Major market players are concentrating on increasing the production of the storage accelerators due to a growing demand. For adapting to the changing needs of storage solutions, artificial intelligence solutions are making use of non-volatile memory for storage. In order to increase the speed of the network connecting servers, programmable switches are used, which will be helpful in changing the direction of data.

Impact on the Artificial Intelligence Software Market

The global artificial intelligence (AI) software market size was estimated at USD 257.37 billion in 2025 and is projected to increase from USD 316.50 billion in 2026 to approximately USD 1,640.51 billion by 2035, growing at a CAGR of 20.35% from 2026 to 2035.

According to Precedence Research, market growth is driven by high demand for automation through intelligence, investment in AI technologies, and rising implementation of advanced software solutions in industries such as healthcare, BFSI, retail, manufacturing, and IT. The advent of agentic AI, multimodal AI models, and AI copilots is expected to accelerate the market growth rate globally.

AI software is becoming deeply integrated across a wide range of applications, including productivity and collaboration tools, cybersecurity platforms, customer service solutions, healthcare diagnostics, financial analytics, and software development environments. Continuous advancements in AI models, cloud computing infrastructure, and enterprise automation are further accelerating the adoption of intelligent software solutions, making AI a fundamental driver of innovation and digital transformation across the global software industry.