Fremont, CA, July 26, 2023 — Exxact Corporation, a provider of high-performance computing (HPC), artificial intelligence (AI) and data center solutions, is now offering a dedicated liquid cooling AI development platform featuring enterprise-grade cooling solutions for both the CPU and GPU to accelerate the most intense AI applications. It promises exceptional performance built for AI […]

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Fremont, CA, June 20, 2023 — Exxact Corporation, a provider of high-performance computing (HPC), artificial intelligence (AI) and data center solutions, announces its new offering of the TensorEX server platform featuring the Ampere Altra Cloud Native Processor family. Harness ultimate density, energy efficiency, and single-threaded performance enabling the next wave of data center processors based […]

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FREMONT, CA — Nov. 30, 2022 — Exxact Corporation, a provider of high-performance computing (HPC), artificial intelligence (AI), and data center solutions, now offers Run:ai in their solutions. This groundbreaking Kubernetes-based orchestration tool incorporates an AI-dedicated, high-performant super-scheduler tailored for managing GPU resources in AI clusters. Run:ai dynamically optimizes hardware utilization for AI workloads, enabling clusters […]

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In this new whitepaper from our friends over at Exxact Corporation we take a look at the important topic of deep learning for Natural Language Processing (NLP) and choosing the right GPU for the job. Focus is given to the latest developments in neural networks and deep learning systems, in particular a neural network architecture called transformers. Researchers have shown that transformer networks are particularly well suited for parallelization on GPU-based systems.

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In this new whitepaper from our friends over at Exxact Corporation we take a look at the important topic of deep learning for Natural Language Processing (NLP) and choosing the right GPU for the job. Focus is given to the latest developments in neural networks and deep learning systems, in particular a neural network architecture called transformers. Researchers have shown that transformer networks are particularly well suited for parallelization on GPU-based systems.

The post Deep Learning for Natural Language Processing – Choosing the Right GPU for the Job appeared first on High-Performance Computing News Analysis | insideHPC.

Today Exxact Corporation announced that their Xilinx Alveo Accelerator Powered Workstations & Servers are now shipping worldwide. The Xilinx Alveo accelerator-powered workstations and servers from Exxact are designed to meet the constantly changing needs of the modern data center, providing up to 90X performance increase over CPUs for computationally intensive workloads and perform up to 90X higher than CPUs on key workloads at 1/3 the cost. “Alveo accelerators offers the hardware adaptability of the FPGA with simple high-level development tools as well as containerized deployment options you'll find with mainstream applications.”

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Today Exxact Corporation announced that it will offer the new NVIDIA DGX Station and DGX-1 systems featuring the NVIDIA Tesla V100 data center GPUs based on the NVIDIA Volta architecture. "NVIDIA’s DGX portfolio is paving the way for a new era of computing,” said Jason Chen, Vice President of Exxact Corporation. “The performance of the new DGX Station and DGX-1 systems for AI and advanced analytics is unmatched, providing data scientists a complete hardware and software package for compute-intensive AI exploration.”

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