AMD applauds Meta for their most recent Llama 3.2 release. Llama 3.2 is intended to increase developer productivity by assisting them in creating the experiences of the future and reducing development time, while placing a stronger emphasis on data protection and ethical AI innovation. The focus on flexibility and openness has resulted in a tenfold increase in Llama model downloads this year over last, positioning it as a top option for developers looking for effective, user-friendly AI solutions.
Llama 3.2 and AMD Instinct MI300X GPU Accelerators
The world of multimodal AI models is changing with AMD Instinct MI300X accelerators. One example is Llama 3.2, which has 11B and 90B parameter models. To analyze text and visual data, they need a tremendous amount of processing power and memory capacity.
AMD and Meta have a long-standing cooperative relationship. Its is still working to improve AI performance for Meta models on all of AMD platforms, including Llama 3.2. AMD partnership with Meta allows Llama 3.2 developers to create novel, highly performant, and power-efficient agentic apps and tailored AI experiences on AI PCs and from the cloud to the edge.
AMD Instinct accelerators offer unrivaled memory capability, as demonstrated by the launch of Llama 3.1 in previous demonstrations. This allows a single server with 8 MI300X GPUs to fit the largest open-source project currently available with 405B parameters in FP16 datatype something that no other 8x GPU platform can accomplish. AMD Instinct MI300X GPUs are now capable of supporting both the latest and next iterations of these multimodal models with exceptional memory economy with the release of Llama 3.2.
By lowering the complexity of distributing memory across multiple devices, this industry-leading memory capacity makes infrastructure management easier. It also allows for quick training, real-time inference, and the smooth handling of large datasets across modalities, such as text and images, without compromising performance or adding network overhead from distributing across multiple servers.
With the powerful memory capabilities of the AMD Instinct MI300X platform, this may result in considerable cost savings, improved performance efficiency, and simpler operations for enterprises.
Throughout crucial phases of the development of Llama 3.2, Meta has also made use of AMD ROCm software and AMD Instinct MI300X accelerators, enhancing their long-standing partnership with AMD and their dedication to an open software approach to AI. AMD’s scalable infrastructure offers open-model flexibility and performance to match closed models, allowing developers to create powerful visual reasoning and understanding applications.
Developers now have Day-0 support for the newest frontier models from Meta on the most recent generation of AMD Instinct MI300X GPUs, with the release of the Llama 3.2 generation of models. This gives developers access to a wider selection of GPU hardware and an open software stack ROCm for future application development.
CPUs from AMD EPYC and Llama 3.2
Nowadays, a lot of AI tasks are executed on CPUs, either alone or in conjunction with GPUs. AMD EPYC processors provide the power and economy needed to power the cutting-edge models created by Meta, such as the recently released Llama 3.2. The rise of SLMs (small language models) is noteworthy, even if the majority of recent attention has been on LLM (long language model) breakthroughs with massive data sets.
These smaller models need far less processing resources, assist reduce risks related to the security and privacy of sensitive data, and may be customized and tailored to particular company datasets. These models are appropriate and well-sized for a variety of corporate and sector-specific applications since they are made to be nimble, efficient, and performant.
The Llama 3.2 version includes new capabilities that are representative of many mass market corporate deployment situations, particularly for clients investigating CPU-based AI solutions. These features include multimodal models and smaller model alternatives.
When consolidating their data center infrastructure, businesses can use the Llama 3.2 models’ leading AMD EPYC processors to achieve compelling performance and efficiency. These processors can also be used to support GPU- or CPU-based deployments for larger AI models, as needed, by utilizing AMD EPYC CPUs and AMD Instinct GPUs.
AMD AI PCs with Radeon and Ryzen powered by Llama 3.2
AMD and Meta have collaborated extensively to optimize the most recent versions of Llama 3.2 for AMD Ryzen AI PCs and AMD Radeon graphics cards, for customers who choose to use it locally on their own PCs. Llama 3.2 may also be run locally on devices accelerated by DirectML AI frameworks built for AMD on AMD AI PCs with AMD GPUs that support DirectML. Through AMD partner LM Studio, Windows users will soon be able to enjoy multimodal Llama 3.2 in an approachable package.
Up to 192 AI accelerators are included in the newest AMD Radeon, graphics cards, the AMD Radeon PRO W7900 Series with up to 48GB and the AMD Radeon RX 7900 Series with up to 24GB. These accelerators can run state-of-the-art models such Llama 3.2-11B Vision. Utilizing the same AMD ROCm 6.2 optimized architecture from the joint venture between AMD and Meta, customers may test the newest models on PCs that have these cards installed right now3.
AMD and Meta: Progress via Partnership
To sum up, AMD is working with Meta to advance generative AI research and make sure developers have everything they need to handle every new release smoothly, including Day-0 support for entire AI portfolio. Llama 3.2’s integration with AMD Ryzen AI, AMD Radeon GPUs, AMD EPYC CPUs, AMD Instinct MI300X GPUs, and AMD ROCm software offers customers a wide range of solution options to power their innovations across cloud, edge, and AI PCs.
