GPU Archives - atbp | atinatin.com

Canonical Accelerates AI Application Development With NVIDIA AI Enterprise

Charmed Kubernetes support comes to NVIDIA AI Enterprise Canonical’s Charmed Kubernetes is now supported on NVIDIA AI Enterprise 5.0. Organisations using Kubernetes deployments on Ubuntu can look forward to a seamless…

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NVIDIA Blackwell Platform Arrives to Power a New Era of Computing

SAN JOSE, Calif., March 18, 2024 (GLOBE NEWSWIRE) — Powering a new era of computing, NVIDIA today announced that the NVIDIA Blackwell platform has arrived — enabling organizations everywhere to…

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NVIDIA Announces New Switches Optimized for Trillion-Parameter GPU Computing and AI Infrastructure

GTC—NVIDIA today announced a new wave of networking switches, the X800 series, designed for massive-scale AI. The world’s first networking platforms capable of end-to-end 800Gb/s throughput, NVIDIA Quantum-X800 InfiniBand and NVIDIA Spectrum™-X800 Ethernet push…

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MosaicML Trains Generative AI Models Faster With Oracle

MosaicML adds Oracle Cloud Infrastructure to its managed platform, accelerating training of AI models for businesses Austin, Texas—August 24, 2023 MosaicML, a software development provider that offers infrastructure and tools…

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Architecting The Future Of Supercomputing

As chief architect and principal investigator for the Aurora supercomputer at Argonne National Laboratory in Illinois, Olivier Franza plays a leading role in bringing one of the most ambitious scientific instruments –…

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Training LLMs With AMD MI250 GPUs And MosaicML

With the release of PyTorch 2.0 and ROCm 5.4, we are excited to announce that LLM training works out of the box on AMD MI250 accelerators with zero code changes…

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Technology

Accelerate JAX Models On Intel GPUs Via PJRT

We are excited to announce the first PJRT plugin implementation in Intel Extension for TensorFlow, which seamlessly runs JAX models on Intel® GPU. The PJRT API simplified the integration, which allowed the Intel…

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Announcing A3 Supercomputers With NVIDIA H100 GPUs, Purpose-Built For AI

Implementing state-of-the-art artificial intelligence (AI) and machine learning (ML) models requires large amounts of computation, both to train the underlying models, and to serve those models once they’re trained. Given…

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GPU

Canonical Accelerates AI Application Development With NVIDIA AI Enterprise

NVIDIA Blackwell Platform Arrives to Power a New Era of Computing

NVIDIA Announces New Switches Optimized for Trillion-Parameter GPU Computing and AI Infrastructure

MosaicML Trains Generative AI Models Faster With Oracle

Architecting The Future Of Supercomputing

Training LLMs With AMD MI250 GPUs And MosaicML

Accelerate JAX Models On Intel GPUs Via PJRT

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