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Lenovo Claims an HPC First for Liquid-Cooled Nvidia A100 GPU Servers

Today, Lenovo introduced the ThinkSystem SD650-N V2 server, which the company said is the first direct-to-node (DTN) liquid-cooled server for Nvidia A100 Tensor Core GPUs. It includes four board-mounted A100 GPUs in a 1U system delivering up to 3PFLOPS of compute performance in a single rack. The server uses Lenovo Neptune liquid cooling, which the […]

At SC20: Nvidia Announces A100 80GB GPU

Nvidia today unveiled the A100 80GB GPU for the Nvidia HGXTM AI supercomputing platform with twice the memory of its predecessor. The new chip with HBM2e doubles the A100 40GB GPU’s high-bandwidth memory to 80GB and delivers more than 2TB/sec of memory bandwidth, according to Nvidia. The A100 80GB GPU is available in Nvidia DGX […]

Transform Your Business with the Next Generation of Accelerated Computing

In this white paper, you’ll find a compelling discussion regarding how Supermicro servers optimized for NVIDIA A100 GPUs are solving the world’s greatest HPC and AI challenges. As the expansion of HPC and AI poses mounting challenges to IT environments, Supermicro and NVIDIA are equipping organizations for success, with world-class solutions to empower business transformation. The Supermicro team is continually testing and validating advanced hardware featuring optimized software components to support a rising number of use cases.

Transform Your Business with the Next Generation of Accelerated Computing

In this white paper we discuss how Supermicro servers optimized for NVIDIA A100 GPUs are solving the world’s greatest HPC and AI challenges. As the expansion of HPC and AI poses mounting challenges to IT environments, Supermicro and NVIDIA are equipping organizations for success, with world-class solutions to empower business transformation. We are continually testing and validating advanced hardware featuring optimized software components to support a rising number of use cases.

Inspur Introduces Leading Designs of NVIDIA A100 Tensor Core GPU Servers for AI and HPC

In this special guest feature, our friends over at Inspur write about how the company is delivering new servers that address the most demanding performance from companies that are implementing AI and ML into their workflows.  Reducing the Total Cost of Ownership (TCO) while increasing the productivity of their teams is critical for CIOs and Line of Business leadership.

Purdue’s ‘Anvil’ to Be Driven by Dell, AMD ‘Milan’ CPUs, Nvidia A100 Tensor Core GPUs

Another in a series of National Science Foundation supercomputing awards has been announced, this one a $10 million funding for a system to be housed at Purdue University to support HPC and AI workloads and scheduled to enter production next year. The system, dubbed Anvil, will be built in partnership with Dell and AMD and […]

Inspur Launches 5 New AI Servers with NVIDIA A100 Tensor Core GPUs

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.”

Perlmutter supercomputer to include more than 6000 NVIDIA A100 processors

NERSC is among the early adopters of the new NVIDIA A100 Tensor Core GPU processor announced by NVIDIA this week. More than 6,000 of the A100 chips will be included in NERSC’s next-generation Perlmutter system, which is based on an HPE Cray Shasta supercomputer that will be deployed at Lawrence Berkeley National Laboratory later this year. “Nearly half of the workload running at NERSC is poised to take advantage of GPU acceleration, and NERSC, HPE, and NVIDIA have been working together over the last two years to help the scientific community prepare to leverage GPUs for a broad range of research workloads.”

NVIDIA A100 Tensor Core GPUs come to Oracle Cloud

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.”

Atos Launches First Supercomputer Equipped with NVIDIA A100 GPU

Today Atos announced its new BullSequana X2415, the first supercomputer in Europe to integrate NVIDIA’s Ampere next-generation graphics processing unit architecture, the NVIDIA A100 Tensor Core GPU. This new supercomputer blade will deliver unprecedented computing power to boost application performance for HPC and AI workloads, tackling the challenges of the exascale era. The BullSequana X2415 blade will increase computing power by more than 2X and optimize energy consumption thanks to Atos’ 100% highly efficient water-cooled patented DLC (Direct Liquid Cooling) solution, which uses warm water to cool the machine.