… View MI355X Specs View MI350X Specs Up to 256 CUs 256 GPU Compute Units Up to 288 GB 288 GB HBM3E Memory Up to 8 TB/s 8 TB/s Peak Theoretical Memory Bandwidth AMD Instinct MI355X GPU Specs Comparisons AMD Instinct MI350 Series Platforms The AMD Instinct MI350 Series Platforms integrate 8 fully conn… …
… With platforms like AMD’s Ryzen AI Max PRO 400 Series, we’re scaling this through an ecosystem approach by bringing hardware and AI software together to power the next generation of enterprise AI PCs and workstations.” Ryzen AI Max PRO 400 Series Specs Model Cores / Threads Boost / Base Frequency T… …
… Technical Specifications CPU AMD Ryzen™ AI Max+ 395 Processor 16 cores, 32 threads, “Zen 5” Architecture GPU AMD Radeon™ 8060S Integrated Graphics 40 CUs, RDNA™ 3.5 Architecture NPU AMD XDNA™ 2 NPU Memory Type LPDDR5x Memory Config 128GB Memory Speed 8000MT/s Memory Bandwidth 256GB/s Storage 2TB M.… …
… Training and scoring RFdiffusion campaigns are computationally intensive and sensitive to memory movement. The high memory bandwidth of AMD Instinct MI300X GPUs helps keep these workloads fed, so design iterations proceed quickly. …
… Compared to similar competitor platforms, the MI325X platform delivers 1.8x the memory capacity, 1.3x the memory bandwidth, and a huge leap forward with up to 1.4x higher inference performance. …
… Likewise, higher memory speeds will support increased bandwidth and may enhance utilization in scenarios that are primarily memory‑bound. …
… Support for variable graphics memory enables 'local bursting,' letting engineers tailor their system’s graphics power to the job at hand. Traditional discrete graphics cards have fixed memory, so workloads that exceed that capacity borrow memory across the PCI bus, introducing latency. …
… Sufficient memory capacity for large audio models. …
… "We are thrilled to expand our work with Samsung, bringing together their leadership in advanced memory with our Instinct GPUs, EPYC CPUs and rack-scale platforms. …
… Incredible performance and HBM3 memory capacity supported by leading memory bandwidth to help take the acceleration of longstanding HPC workloads and the recent explosion of generative AI compute demands to new heights. …