Would accelerating your artificial intelligence (AI), machine learning (ML), and deep learning (DL) workloads improve your business outcome? Financial services, life sciences, manufacturing, and AI require a modern data architecture that eliminates performance barriers. HPE Solutions with WEKA pairs our industry-leading server technologies with WEKA® Data Platform to provide a scalable, flash-native, parallel file storage solution built for large-scale AI, with high throughput, IOPS, and low-latency needed for the most performance-intensive workloads.
With policy-based tiering, data can span between NVMe flash to S3 based object storage in a single namespace, providing cost-effective data management and performance at an exabyte scale. The advanced architecture streamlines data pipelines while delivering ease of use, simplified scaling, and seamless data sharing from edge to cloud. It can dramatically speed up data-driven innovation for complex AI, ML, or DL data pipelines.
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Chat with usHPE Solutions with WEKA are designed for all flash, using NVMe solid-state drive (EDSFF and SFF) technology. WEKA software accesses the underlying flash media directly in its native 4 KB format, so that both small files and large data sets can be processed in record time.
Show More {"title":"Reduced Time to Insights and Results through High Performance and Microsecond Latency","keyList":["HPE Solutions with WEKA are designed for all flash, using NVMe solid-state drive (EDSFF and SFF) technology. WEKA software accesses the underlying flash media directly in its native 4 KB format, so that both small files and large data sets can be processed in record time.","The HPE ProLiant DL325 Gen11, HPE ProLiant DL345 Gen11, and HPE Alletra Storage Server 4110, all utilize PCIe Gen5 that improves the bus speeds over PCIe Gen4, helping HPE Solutions with WEKA provide much higher data throughput.1","Low-latency network support means data does not have to be local to the customer for optimal performance. Data is dynamically distributed across the cluster for parallel access, resilience, consistent performance, and scalability. This is critical for model inferencing and meta data performance.","The faster you get data to GPUs, the faster you’ll get to new business insights, a better customer experience, or a new drug discovery. WEKA supports the NVIDIA® GPUDirect Storage, enabling a direct path between storage and GPU memory to saturate GPUs with data to help maximize the investment.","HPE Solutions with WEKA support the fastest network adapters from NVIDIA, Intel and Broadcom, delivering both Ethernet and InfiniBand networking bandwidth of up to 400 Gbps, allowing full use of existing networks, while accommodating future upgrades to improve throughput and reduce latency."]}
Intel is a trademark of Intel Corporation or its subsidiaries in the U.S. and/or other countries. Linux is the registered trademark of Linus Torvalds in the U.S. and other countries. NVIDIA and GPUDirect are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Red Hat is a registered trademark of Red Hat, Inc. in the United States and other countries. All third-party marks are property of their respective owners.
1 https://www.intel.com/content/www/us/en/gaming/resources/what-is-pcie-4-and-why-does-it-matter.html#:~:text=Each%20generation%20of%20PCIe%20is%20twice%20as,speed%20before%20encoding%E2%80%94realized%20speeds%20may%20be%20slower.
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