In the field of semiconductor technology, Advanced Micro Devices, Inc. (AMD) is a trailblazer that propels innovation and advances the graphics and computing domains. Since its founding in 1969, AMD has consistently pushed the envelope of what is possible, revolutionizing markets and providing users with cutting-edge products.
Subjects we address:
- A Solid Foundation for AI Innovation
- AMD Instinct™ Accelerators
- Processors for AI Acceleration
- Additional Products in the AMD AI Portfolio
- AMD Enables Open Ecosystem to Accelerate Innovation
- Similarities and differences between AMD and Nvidia
A Solid Foundation for AI Innovation
A new wave of AI applications is developing quickly, and artificial intelligence (AI) is the defining technology influencing the next generation of computers. AI has the power to address some of the most pressing issues facing humanity today, from developing lifelike virtual worlds for entertainment and gaming to assisting medical professionals in the treatment and curing of illnesses or improving humankind’s ability to adapt to climate change.
The rapid rate of AI application innovation combined with the expansion of generative AI and large language models (LLMs) is creating a massive demand for computational resources. These necessitating solutions are pervasive, energy-efficient, performant, and scalable from cloud to edge and endpoints.
AMD Instinct™ Accelerators
AMD has long been a player in the data centre accelerator industry. More processing power is required exponentially for both training and inference with generative AI and LLMs. Generative AI relies heavily on GPUs; nowadays, AMD InstinctTM GPUs power many of the fastest supercomputers that use AI to speed up research on cancer or build cutting-edge LLMs with billions of parameters that are utilized by scientists worldwide.
Customers of data centres will be able to connect up to eight AMD Instinct MI300X GPUs in an industry-standard design with the new AMD Instinct platform, providing a straightforward drop-in solution that can supply up to 1.5 TB of HBM3 memory. The addition of AMD Instinct MI300X accelerators is a significant improvement to the AI infrastructure, and AMD ROCmTM powers it. This open and well-proven software platform offers open-source languages, compilers, libraries, and tools.
Processors for AI Acceleration
Multiple AI engines—from cloud to edge to endpoints—are necessary for AI success. Apart from the AMD Instinct accelerators, AMD EPYC processors facilitate an extensive array of AI workloads in the data centre. They offer competitive performance predicated on industry-standard benchmarks such as TPCx-AI, which evaluates the performance of an end-to-end AI pipeline spanning ten distinct use cases and numerous algorithms.
Off-the-shelf servers can accelerate a variety of data centre and edge applications, such as customer assistance, retail, automotive, financial services, medical, and manufacturing, with up to 96 cores per 4th Gen AMD EPYC processor.
Additional Products in the AMD AI Portfolio
With the introduction of the AMD RyzenTM 7040 Series CPUs for consumer and business PCs, AMD has introduced the first AI engine specifically designed for an x86 processor.3. This new AI accelerator, which is powered by AMD XDNA technology, can do up to 10 trillion AI operations per second (TOPS), offering smooth AI experiences with remarkable battery life and performance, preparing consumers for the use of AI in the future.
Customers are also using VersalTM adaptive SoCs, leading FPGAs, and AMD AlveoTM accelerators in a variety of industries, including aerospace (where NASA’s Mars rovers can expedite AI-based image identification) and automobile (where AMD technology is used for power driver-assist and advanced safety features). Additionally, AI-assisted robotics for industrial use and quicker, more precise medical diagnosis are made possible with AMD technology.
AMD Enables Open Ecosystem to Accelerate Innovation
AMD is aiming to drive open and accessible AI software in addition to providing a hardware range that can manage the most taxing AI tasks. To maximize AI applications on AMD hardware, developers and partners can take advantage of AMD software tools. Currently, the stack consists of AMD ZenDNN open-source libraries for AMD EPYC CPUs, AMD ROCm for AMD Instinct GPU accelerators, and AMD VitisTM AI for adaptive accelerators, SoCs, and FPGAs.
In order to optimize models for AMD platforms and ensure optimal performance and compatibility for thousands of LLMs that customers will use for both personal and commercial applications, Hugging Face, a leading open-source AI platform with over 500,000 models and datasets available, announced a strategic collaboration with AMD.
In order to improve efficiency and productivity with the models Hugging Face and its users supply, AMD will also optimize its goods. Through this partnership, the open-source community will have a tremendous end-to-end option for speeding up AI innovation. It will have more comprehensive developer access to AI model training and inferencing.
Similarities and differences between AMD and Nvidia
Similarities and contrasts exist between Nvidia’s strategy and that of its main rival. AMD’s accelerator architecture, CDNA3, added the ability to compute with two different types of 8-bit floating-point numbers and with truncated 32-bit integers dubbed TF32, just like Nvidia did with its Hopper architecture. Large language models and other specific transformer neural network components can be trained more quickly because of the latter feature. Additionally, they both use a technique known as 4:2 sparsity that shrinks the neural network in size.
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