DESIGN TOOLS
Server & data center

High-performance computing

Our high-performance, high-bandwidth memory and storage technologies are advancing the rate of generative AI innovation.

Fueling AI advances with Micron 96GB and 128GB¹ high-capacity RDIMMs

Learn about Micron's world-class high-capacity DIMM modules that are fueling advances in AI, in-memory databases and data center servers around the world. 

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CXL memory expansion: A closer look on actual platform

This white paper examines the rationale for CXL-based memory and demonstrates with AMD the value of CXL based memory. The paper details a number of performance tests completed using Micron memory expansion based on CXL and the AMD EPYC™ 9754 CPU and details the results.

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GDDR6X: Bringing gaming and AI to life

Micron has created the world’s fastest discrete graphics memory solution: GDDR6X. Launched with NVIDIA on the GeForce® RTX™ 3090 and GeForce® RTX™ 3080 GPUs, GDDR6X takes graphics to new levels of gaming realism and unleashes high-performance AI inference. Learn how Micron is using PAM4 signal techniques in GDDR6X to achieve unprecedented speeds and system bandwidth.

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Featured resources

Frequently asked questions

High-bandwidth memory offers faster data transfer rates using less power. With a smaller form factor, high-bandwidth memory is the go-to memory choice for today’s data centers and tomorrow’s AI and server solutions. 

The newest and fastest version of high-bandwidth memory is HBM3E – find out more about the benefits of HBM3E bandwidth, and how Micron leads the way.

Micron’s HBM3E delivers an industry leading pin speed of > 9.2Gbps and can support backward compatible data rates of HBM2 first generation devices.

CXL (Compute Express Link) is a high-speed interconnect, industry-standard interface for communications between processors, accelerators, memory, storage, and other IO devices. CXL increases efficiency by allowing composability, scalability, and flexibility for heterogeneous and distributed compute architectures. CXL allows applications to share memory among CPU, GPU and FPGA devices which enables sustainability leading to accelerated compute.

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Downloads & technical documentation

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