
Explore the integration of CXL and NVMe protocols, focusing on host addressable Subsystem Local Memory, computational storage benefits, and emerging developments in memory disaggregation.

Discover how Intel's IPU hardware and SPDK Acceleration Framework optimize storage workflows, enhance data movement, and improve efficiency through hardware offloading capabilities for cloud service providers.

Discover essential memory optimization techniques for machine learning, from data quantization to model pruning, and learn efficient strategies for minimizing resource consumption across different hardware setups.

Explore SNIA's Smart Data Accelerator Interface standard, covering use cases in AI, implementation demos, v1.1 features, and opportunities to contribute to this emerging memory-to-memory data movement technology.

Explore how CXL technology revolutionizes AI/ML workloads through memory expansion, pooling, and sharing. Master performance optimization techniques for large language models and learn practical implementation strategies.

Discover how to achieve ultra-low latency in microservices using FPGA technology with off-the-shelf hardware, exploring practical implementations and performance optimization techniques.