Inspur released five new AI servers that fully support the new NVIDIA Ampere architecture. The new servers support up to 8 or 16 NVIDIA A100 Tensor Core GPUs, with remarkable AI computing performance of up to 40 PetaOPS, as well as delivering tremendous non-blocking GPU-to-GPU P2P bandwidth to reach maximum 600 GB/s. “With this upgrade, Inspur offers the most comprehensive AI server portfolio in the industry, better tackling the computing challenges created by data surges and complex modeling. We expect that the upgrade will significantly boost AI technology innovation and applications.”
NVIDIA EGX Platform Brings Real-Time AI to the Edge
May 23, 2020 by Leave a Comment
NVIDIA announced two powerful products for its EGX Edge AI platform — the EGX A100 for larger commercial off-the-shelf servers and the tiny EGX Jetson Xavier NX for micro-edge servers — delivering high-performance, secure AI processing at the edge. “Large industries can now offer intelligent connected products and services like the phone industry has with the smartphone. NVIDIA’s EGX Edge AI platform transforms a standard server into a mini, cloud-native, secure, AI data center. With our AI application frameworks, companies can build AI services ranging from smart retail to robotic factories to automated call centers.”
NVIDIA Mellanox ConnectX-6 Lx SmartNIC Accelerates Cloud and Enterprise Workloads
May 22, 2020 by Leave a Comment
Today NVIDIA launched the NVIDIA Mellanox ConnectX-6 Lx SmartNIC — a highly secure and efficient 25/50 gigabit per second (Gb/s) Ethernet smart network interface controller (SmartNIC) — to meet surging growth in enterprise and cloud scale-out workloads. “ConnectX-6 Lx, the 11th generation product in the ConnectX family, is designed to meet the needs of modern data centers, where 25Gb/s connections are becoming standard for handling demanding workflows, such as enterprise applications, AI and real-time analytics.”
Increasing HPC Cluster Productivity Through System Resource Tracking
May 18, 2020 by Leave a Comment
This white paper from Bright Computing, “Increasing HPC Cluster Productivity Through System Resource Tracking” addresses the necessary steps to give administrators, managers, and users the information they need to use HPC system resources effectively, to maximize system productivity, to enable effective resource sharing, to identify waste and to provide charge-back capability.
Liqid, Dell, and AMD power Industry’s Fastest Single-socket Storage Server
May 17, 2020 by Leave a Comment
Today Liqid announced that it has worked with industry leaders AMD and Dell Technologies to deliver one of the fastest one-socket storage rack servers on the market. “Liqid’s composable Gen-4 PCI-Express (PCIe) fabric technology, the LQD4500, is coupled with the AMD EPYC 7002 Series Processors, and enclosed in Dell Technologies’ industry-leading Dell EMC PowerEdge R7515 Rack Server to deliver an architecture designed for the most demanding next-generation, AI-driven HPC application environments.”
Video: Nimbus Data Unveils Next-Generation Storage OS and All-Flash Array
May 15, 2020 by Leave a Comment
Today Nimbus Data announced an all-new solid state storage operating system (Nimbus Data AFX), all-new enterprise support program (Tectonic), and new all-flash array (ExaFlash One). “With its versatility, federated architecture, and multi-tenant management capabilities, Nimbus Data AFX is a well-conceived solid state storage platform for dense enterprise workload consolidation,” said Eric Burgener, research vice president in the Infrastructure Systems, Platforms and Technologies Group at IDC.
NVIDIA A100 Tensor Core GPUs come to Oracle Cloud
May 15, 2020 by Leave a Comment
Oracle is bringing the newly announced NVIDIA A100 Tensor Core GPU to its Oracle Gen 2 Cloud regions. “Oracle is enhancing what NVIDIA GPUs can do in the cloud,” said Vinay Kumar, vice president, product management, Oracle Cloud Infrastructure. “The combination of NVIDIA’s powerful GPU computing platform with Oracle’s bare metal compute infrastructure and low latency RDMA clustered network is extremely compelling for enterprises. Oracle Cloud Infrastructure’s high-performance file server solutions supply data to the A100 Tensor Core GPUs at unprecedented rates, enabling researchers to find cures for diseases faster and engineers to build safer cars.”
Supermicro steps up with NVIDIA A100 GPU-Powered Systems
May 14, 2020 by Leave a Comment
Today Supermicro announced two new AI systems based on NVIDIA A100 GPUs. NVIDIA A100 is the first elastic, multi-instance GPU that unifies training, inference, HPC, and analytics. “Optimized 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.”
Video: NVIDIA Launches Ampere Data Center GPU
May 14, 2020 by Leave a Comment
In this video, NVIDIA CEO Jensen Huang announces the first GPU based on the NVIDIA Ampere architecture, the NVIDIA A100. Their fastest GPU ever is in now in full production and shipping to customers worldwide. “NVIDIA A100 GPU is a 20X AI performance leap and an end-to-end machine learning accelerator – from data analytics to training to inference. For the first time, scale-up and scale-out workloads can be accelerated on one platform. NVIDIA A100 will simultaneously boost throughput and drive down the cost of data centers.”
New NVIDIA DGX A100 Packs Record 5 Petaflops of AI Performance for Training, Inference, and Data Analytics
May 14, 2020 by Leave a Comment
Today NVIDIA unveiled the NVIDIA DGX A100 AI system, delivering 5 petaflops of AI performance and consolidating the power and capabilities of an entire data center into a single flexible platform. “DGX A100 systems integrate eight of the new NVIDIA A100 Tensor Core GPUs, providing 320GB of memory for training the largest AI datasets, and the latest high-speed NVIDIA Mellanox HDR 200Gbps interconnects.”
