19
NEWS IN BRIEF
19
Emtelle completes land purchase to expand facilities
Emtelle has acquired 16,000sqm of land located adjacent to its manufacturing plant in Erfurt , Germany .
The news follows the manufacturer ’ s recent investment in its production capabilities with the purchase of two new extrusion lines at the Erfurt manufacturing facility . This latest investment from Emtelle allows for further options of increased manufacturing capacity , increased stock capabilities whilst expanding product testing and customer training facilities .
These developments will ultimately strengthen the company ’ s full offering and enable Emtelle to better serve the global growing demand .
With manufacturing facilities in Germany , Denmark and Scotland , Emtelle is already wellplaced to supply reliable , high quality fibre and ducted network solutions to over 100 countries across the globe . The new land acquisition further emphasises this and enhances the focus that Emtelle holds on continuously improving service to customers both in the German and global markets .
Emtelle Group CEO , Tony Rodgers commented : “ As leaders in our field , it is important that we have the space to grow . Acquiring this land means we can do just that . The German market is a growing market for us , so it is imperative we continue to invest and expand our capabilities at our Erfurt factory . This additional land purchase allows us to enhance our facilities , so we remain at the forefront of the FTTXindustry ."
Since its inception , Emtelle has developed innovative blown fibre and ducted network solutions that allow for a more simple , efficient installation with minimal disruption to effectively connect premises worldwide . This land acquisition follows the progression from Emtelle ’ s recent investment of more than € 30 million in its European factories from 2017 when the acquisition of Moore GmbH took place . n
Supermicro expands portfolio with fully integrated NVIDIA A100 GPU-powered systems
Supermicro Computer has announced two new systems designed for artificial intelligence
( AI ) deep learning applications that fully leverage the third-generation NVIDIA
HGX technology with the new NVIDIA A100 Tensor Core GPUs as well as full support for the new NVIDIA A100 GPUs across the company ’ s broad portfolio of 1U , 2U , 4U and 10U GPU servers . NVIDIA A100 is the first elastic , multi-instance GPU that unifies training , inference , HPC , and analytics .
“ Expanding upon our industry-leading portfolio of GPU systems and NVIDIA HGX-2 system technology , Supermicro is introducing a new 2U system implementing the new NVIDIA HGX A100 4 GPU board ( formerly codenamed Redstone ) and a new 4U system based on the new NVIDIA HGX A100 8 GPU board ( formerly codenamed Delta ) delivering 5 PetaFLOPS of AI performance ,” said Charles Liang , CEO and president of Supermicro . “ As GPU accelerated computing evolves and continues to transform data centres , Supermicro will provide customers the very latest system advancements to help them achieve maximum acceleration at every scale while optimising GPU utilisation . These new systems will significantly boost performance on all accelerated workloads for HPC , data analytics , deep learning training and deep learning inference .”
As a balanced data centre platform for HPC and AI applications , Supermicro ’ s new 2U system leverages the NVIDIA HGX A100 4 GPU board with four direct-attached NVIDIA A100 Tensor Core GPUs using PCI-E 4.0 for maximum performance and NVIDIA NVLink for high-speed GPU-to-GPU interconnects . This advanced GPU system accelerates compute , networking and storage performance with support for one PCI-E 4.0 x8 and up to four PCI-E 4.0 x16 expansion slots for GPUDirect RDMA high-speed network cards and storage such as InfiniBand HDR , which supports up to 200Gb per second bandwidth .
“ AI models are exploding in complexity as they take on next-level challenges such as accurate conversational AI , deep recommender systems and personalised medicine ,” said Ian Buck , general manager and VP of accelerated computing at NVIDIA . “ By implementing the NVIDIA HGX A100 platform into their new servers , Supermicro provides customers the powerful performance and massive scalability that enable researchers to train the most complex AI networks at unprecedented speed .”
Optimised for AI and machine learning , Supermicro ’ s new 4U system supports eight A100 Tensor Core GPUs . The 4U form factor with eight GPUs is ideal for customers that want to scale their deployment as their processing requirements expand . The new 4U system will have one NVIDIA HGX A100 8 GPU board with eight A100 GPUs all-to-all connected with NVIDIA NVSwitch for up to 600GB per second GPU-to-GPU bandwidth and eight expansion slots for GPUDirect RDMA high-speed network cards . Ideal for deep learning training , data centres can use this scale-up platform to create next-gen AI and maximise data scientists ’ productivity with support for ten x16 expansion slots .
Customers can expect a significant performance boost across Supermicro ’ s extensive portfolio of 1U , 2U , 4U and 10U multi-GPU servers when they are equipped with the new NVIDIA A100 GPUs . For maximum acceleration , Supermicro ’ s new A + GPU system supports up to eight fullheight double-wide ( or single-wide ) GPUs via direct-attach PCI-E 4.0 x16 CPU-to-GPU lanes without any PCI-E switch for the lowest latency and highest bandwidth .
The system also supports up to three additional high-performance PCI-E 4.0 expansion slots for a variety of uses , including high-performance networking connectivity up to 100G . An additional AIOM slot supports a Supermicro AIOM card or an OCP 3.0 mezzanine card . n
www . networkseuropemagazine . com