Benchmarking AI Workloads on Intel Xeon with AMX: Best Practices and Performance Insights

InformationalInfrastructureTechnology

Introduction Artificial Intelligence (AI) workloads increasingly depend on robust computational resources, and Intel Xeon processors present an attractive solution for both training and inference. The introduction of Advanced Matrix Extensions (AMX) in Intel Xeon has significantly enhanced AI acceleration, especially for deep learning, natural language processing, and high-performance computing applications. Accurate benchmarking of these workloads […]

Read More
Simon Todd in No Comments

Understanding Data Types in AI and HPC: Int8, FP8, FP16, BF16, BF32, FP32, TF32, FP64, and Hardware Accelerators

FutureGeneralInformational
More
InfrastructureTechnology

In the domains of Artificial Intelligence (AI) and High-Performance Computing (HPC), the proficient management of data types such as Int8, FP8, FP16, BF16, BF32, FP32, TF32, and FP64 is essential for performance optimisation. The advancement of contemporary hardware accelerators like as NVIDIA H100, Intel Gaudi3, and AMD MI300 has markedly enhanced the processing of these […]

Read More
Simon Todd in No Comments

Navigating the AI Deployment Dilemma: How Intel’s AMX Accelerator Eases the Journey

FinanceFinancialGeneral
More
HealthcareInformationalInfrastructureTechnology

Artificial Intelligence (AI) has emerged as a fundamental element of contemporary technological progress, presenting unparalleled prospects for innovation across all sectors. The possibilities of AI is extensive, ranging from improving customer interactions with chatbots to optimising supply chains with predictive analytics. Nevertheless, numerous organisations encounter difficulties while attempting to harness the power of AI. Companies […]

Read More
Simon Todd in No Comments

The Balance Between Training and Inferencing: Embracing a Hybrid GPU and CPU Approach

FutureGeneralInformational
More
InfrastructureTechnology

Understanding Training and Inferencing Training and inferencing are two central ideas in the field of machine learning and artificial intelligence, and they have different purposes and prerequisites. Models can be trained to improve their predictive and decision-making abilities by analysing data and adjusting their parameters in response to that analysis. To process large datasets and […]

Read More
Simon Todd in No Comments