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How Nvidia became a trillion-dollar company

CIO

Its founders spotted that generating 3D graphics in video games—then a fast-growing market—placed highly repetitive, math-intensive demands on PC central processing units (CPUs). Although Nvidia’s first chips were used to enhance 3D gaming, the manufacturing industry is also interested in 3D simulations, and its pockets are deeper.

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What’s New and What’s Next in 2023 for HPC

CIO

Sustainability : As the HPC market grows, so do the implications of running such energy-intensive and complex infrastructure. Yes, specific AI workflows require special hardware configurations. Advances in Artificial Intelligence and Machine Learning (AI/ML): AI/ML will continue growing as an important workload in HPC.

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More on OnLive: New Cloud Solution Delivers Secure Cross-Platform Deployment for Graphics Intensive Applications

CTOvision

The OnLive® CloudLift Enterprise service offers businesses the ability to stream latency-sensitive Graphics Intensive Applications (GIAs), such as high-definition interactive demos, simulations and 3D programs, from the cloud to virtually any device instantly, with unparalleled control, security and support. Architecture'

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UCP Technology enhancements: DS7000 Series Scalable Servers, NVIDIA Tesla GPUs, All NVMe, and 3D XPOINT Memory Storage

Hu's Place - HitachiVantara

These Innovations include: DS7000 Scalable Servers , NVIDIA Tesla GPUs , All NVMe , and 3D XPoint storage memory. DS7000 Scalable Servers Hitachi Advanced Server DS7000 Series of Scalable Servers are built with a unique modular architecture which can be configured and scaled to meet the needs of a wide variety of application workloads.

3D 61
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Radar trends to watch: April 2022

O'Reilly Media - Ideas

An unusual form of matter known as spin glass can potentially allow the implementation of neural network algorithms in hardware. A neural network with a single neuron that is used many times may be as effective as large neural networks, while using much less energy. Facebook/Meta’s 3DETR uses transformers to build models from 3D data.

Trends 95
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Making Sense of IoT Platforms: AWS vs Azure vs Google vs IBM vs Cisco

Altexsoft

IoT architecture layers. Namely, these layers are: perception layer (hardware components such as sensors, actuators, and devices; transport layer (networks and gateway); processing layer (middleware or IoT platforms); application layer (software solutions for end users). Perception layer: IoT hardware. How an IoT system works.

IoT 141
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Radar trends to watch: September 2021

O'Reilly Media - Ideas

FaunaDB is a distributed document database designed for serverless architectures. Researchers have created a 3D map of a small part of a mouse’s brain. Facebook’s Time cards are an open-source (code and hardware) solution for accurate time keeping. It is smaller and faster, and appears to be at least as good.

Trends 125