Bob Hayes

MARCH 2, 2021

Results of a worldwide survey reveal that data professionals overwhelmingly use a personal computer or laptop as their computing platform most often for their data science projects. The next most used computing platform is a cloud computing platform and a deep learning workstation. Computing Platforms Used by Data Professionals.

Data 106

Data Groups Survey Tools 106

Interactions

DECEMBER 28, 2022

We launched Trustera, a game-changing PCI compliance platform that is a must-have solution for every business with work-from-anywhere (WFA) environments. We announced a notable business collaboration with NVIDIA to help drive our business growth, initiated a partnership program, grew our Bangalore team and much more. .

Interaction 62

Interaction Leadership Culture Customer Care 62

Forrester's Customer Insights

SEPTEMBER 16, 2020

NVIDIA just announced it plans to acquire Arm Limited from SoftBank Group for $40B. The x86 platform remains the leader in PCs and data centers, but the future growth prospects lie in […]. The combination aims to conquer the enormous compute market that has long been dominated by the x86 architecture (and thus, Intel and AMD).

Groups 67

Groups Data Marketing Software 67

Maru Group

AUGUST 4, 2022

Sony first launched their cloud gaming platform PlayStation Now in 2014, with Xbox Game Pass launching in 2017. These have been joined by a slew of services from the likes of gaming hardware manufacturer Nvidia (2020), Google (2019) and Amazon (2021).

Entertainment 76

Entertainment Comparison Loyalty Groups 76

AWS Machine Learning

DECEMBER 5, 2023

About Protopia AI Protopia AI is a leader in data protection and privacy-preserving AI/ML technologies based in Austin, Texas, and specializes in enabling AI algorithms and software platforms to operate without the need to access plain text information. Prior to Protopia AI, he was a Senior Research Scientist at NVIDIA for 9 years.

Data 99

Data Training Financial Examples 99

West Monroe

AUGUST 13, 2023

PowerScribe One can help automate the reporting workflow, auto-populate reports to reduce errors and minimize redundancy, facilitate discrete data sharing across systems and platforms, and improve follow-up recommendation consistency with automated guidance support and quality checks.

Healthcare 52

Healthcare Report Innovation Data 52

AWS Machine Learning

FEBRUARY 23, 2023

Some of our customers use our Deep Learning AMIs (DLAMI) to launch NVIDIA GPU-based Amazon Elastic Compute Cloud (Amazon EC2) instances in the p family. Each EC2 p family instance generation integrates the latest NVIDIA technology, including the p2 instances (Tesla K80), p3 instances (Volta V100), and p4d instances (Ampere A100).

System 93

System Automotive Training Video 93

AWS Machine Learning

SEPTEMBER 19, 2023

nvidia/rapidsai/rapidsai:0.16-cuda10.1-base-ubuntu18.04 As a next step, VirtuSwap is considering broadening their usage of SageMaker and running their processing in Amazon SageMaker Processing to process the massive data they’re collecting from various blockchains into their platform. base-ubuntu18.04

Policies 120

Policies Comparison Resources Groups 120

AWS Machine Learning

OCTOBER 4, 2022

Amazon Elastic Compute Cloud (Amazon EC2) G5 instances are the first and only instances in the cloud to feature NVIDIA A10G Tensor Core GPUs, which you can use for a wide range of graphics-intensive and machine learning (ML) use cases. For the code for replicating the benchmark, refer to NVIDIA Deep Learning Examples for Tensor Cores.

Comparison 68

Comparison Study Measurement Data 68

AWS Machine Learning

NOVEMBER 22, 2023

The micro-exponent technology is described in the following Open Compute Project (OCP) industry announcement: AMD, Arm, Intel, Meta, Microsoft, NVIDIA, and Qualcomm Standardize Next-Generation Narrow Precision Data Formats for AI » Open Compute Project. The steps that follow use the pre-built DL2q AMI, Qualcomm Base AL2 DLAMI.

Automotive 104

Automotive Technology Training Strategy 104

C Space

APRIL 29, 2020

Social media platform TikTok has announced the launch of a new, interactive feature, Donation Stickers , that creators can use on their videos and live streams in order to raise funds for charities directly in the TikTok app. Nvidia has also contributed toward the project by urging gamers to donate unutilized GPU computing resources.

Brands 52

Brands Banking Social Media Video 52

AWS Machine Learning

MAY 8, 2023

In this post, we explore TensorRT and how to use it with Amazon SageMaker inference using NVIDIA Triton Inference Server. Deep dive into the TensorRT backend TensorRT enables you to optimize inference using techniques such as quantization, layer and tensor fusion, kernel tuning, and others on NVIDIA GPUs.

Policies 85

Policies Metrics How To Tools 85

AWS Machine Learning

MAY 31, 2023

In this post, we dive deep to see how Amazon SageMaker can serve these PyTorch models using NVIDIA Triton Inference Server. SageMaker provides support for single-model and multi-model endpoints through NVIDIA Triton Inference Server. For PyTorch models, the platform field in the configuration file should be set to pytorch_libtorch.

Multi-Channel 85

Multi-Channel Policies Groups How To 85

Interactions

SEPTEMBER 22, 2022

We recently announced an exciting collaboration with NVIDIA, one of the driving forces in artificial intelligence, GPU hardware, and full stack computing. We’re working with NVIDIA. PHM: As I understand it, we’ve done several projects already combining NVIDIA technology with Interactions.

Interaction 62

Interaction Meeting Technology Brands 62

SurveySparrow

DECEMBER 9, 2020

Here’s a recent example of perfect employee experience: NVIDIA, a graphics processing giant based in Santa Clara house with 3,000 employees, took a major decision to give a better experience to their employees amid the coronavirus crisis. In recent times the majority of the development training in companies is ineffective.

Employee Experience 52

Employee Experience Employee Engagement Net Promoter Score Culture 52

LiveChat

SEPTEMBER 8, 2016

Social media platforms offer the perfect channel to do this. If you have a pre-launch page in place, that’s the perfect place to showcase a countdown timer like Nvidia did through their Order of 10 website. Keep them updated with the latest news and progress in the development process especially when the launch date is dawning close.

Social Media 48

Social Media Video Marketing Examples 48

AWS Machine Learning

APRIL 8, 2024

TensorRT-LLM backend NVIDIA’s TensorRT-LLM was introduced as part of the previous LMI DLC release (0.25.0), enabling state-of-the-art GPU performance and optimizations like SmoothQuant, FP8, and continuous batching for LLMs when using NVIDIA GPUs. TensorRT-LLM requires models to be compiled into efficient engines before deployment.

Effort Score 86

Effort Score Multi-Channel Groups Exercises 86

AWS Machine Learning

APRIL 16, 2024

You can verify this in your own JupyterLab space by running nvidia-smi (for a one-time display) or nvidia-smi —loop=1 (to repeat every second) from your JupyterLab terminal. This indicates that the model is actively using the GPU resources for computational tasks.

Data 92

Data Connections Analysis Resources 92

AWS Machine Learning

JULY 29, 2022

Lookout for Vision now supports inference on an x86 compute platform running Linux with or without an NVIDIA GPU accelerator and on any NVIDIA Jetson-based edge appliance. 2xl, but anything with greater than 8 gigabytes on x86 platform should work) running Ubuntu 20.04. Create an AWS account. Choose Choose.

Training 70

Training Policies e-support System 70

AWS Machine Learning

JUNE 6, 2023

This is manifested in the diagram in the next section; in the bottom tier, we provide a broad selection of compute instances powered by AWS Graviton, Nvidia, AMD, and Intel processors. jobs on the platform of your choice. 24xlarge instance that offers 8 NVIDIA A100 Tensor Core GPUs in us-west-2 : #STEP 1.1 with up to 3.5

Effort Score 70

Effort Score Training Analysis Policies 70

AWS Machine Learning

APRIL 19, 2024

Beyond creating differentiated AI tools, we have established an integrated platform that merges AI software, cloud-based data, scalable computation infrastructure, and high-throughput chemistry and biology capabilities. He supports delivery of the infrastructure for the Iambic AI-driven drug discovery platform.

Training 93

Training Metrics Policies Resources 93

AWS Machine Learning

MAY 2, 2023

In this post, we dive deep to see how Amazon SageMaker can serve these models using NVIDIA Triton Inference Server. Triton Inference Server on SageMaker SageMaker allows you to deploy both single model and multi-model endpoints with NVIDIA Triton Inference Server. Kshitiz Gupta is a Solutions Architect at NVIDIA.

Data 65

Data How To Examples Meeting 65

AWS Machine Learning

APRIL 12, 2023

We’re doing just that with ToxMod, our proactive, voice-native moderation platform. The changing metaverse and need for ToxMod Modern online games and metaverse platforms have become far more social than their predecessors. Historically, games have focused on providing a specific curated experience to players.

Guidelines 66

Guidelines Policies Analysis Report 66

AWS Machine Learning

JUNE 9, 2023

ONNX Runtime ONNX Runtime is a runtime engine for ML inference designed to optimize the performance of models across multiple hardware platforms, including CPUs and GPUs. For examples of how ONNX models can be optimized for Nvidia GPUs with TensorRT, refer to TensorRT Optimization (ORT-TRT) and ONNX Runtime with TensorRT optimization.

Data 90

Data Exercises Tools Examples 90

AWS Machine Learning

JUNE 15, 2022

Mantium is a global cloud platform provider for building AI applications and managing them at scale. Mantium’s end-to-end development platform enables enterprises and businesses of all sizes to build AI applications and automation faster and easier than what has been traditionally possible. On the ml.g4dn.2xlarge tokens per second.

Government 75

Government Training Policies Examples 75

AWS Machine Learning

OCTOBER 27, 2022

AWS’s accelerated computing instance family includes accelerators from AWS custom chips ( AWS Inferentia , AWS Trainium ), NVIDIA ( GPUs ), and Gaudi accelerators from Habana Labs (an Intel company). 24xlarge (96 vCPU, 8 x NVIDIA A100 GPUs), with a CPU:GPU ratio of 12:1. Performance benchmark results.

Training 70

Training Groups Multi-Channel Examples 70

AWS Machine Learning

NOVEMBER 15, 2022

Intelerad and Arterys are among the launch partners utilizing HealthLake Imaging to achieve higher scalability and viewing performance for their next-generation PACS systems and AI platform, respectively. And NVIDIA has collaborated with AWS to develop a MONAI connector for HealthLake Imaging.

Analytics 77

Analytics Healthcare Innovation Hospitality 77

AWS Machine Learning

MARCH 2, 2023

Here the aws-node-xxxx , kube-proxy-xxxx , and nvidia-device-plugin-daemonset-xxxx pods run on each of the three compute nodes, and we have one system node in the kube-system namespace. W&B platform for ML experimentation and hyperparameter grid search W&B helps ML teams build better models faster.

Analysis 77

Analysis Training System Resources 77

AWS Machine Learning

JUNE 15, 2022

Then you choose your target hardware platform, (refer to the list of supported devices ). Each turbine can be outfitted with an NVIDIA Jetson device to monitor sensor data from the turbine. Neo automatically optimizes ML models for inference on cloud instances and edge devices to run faster with no loss in accuracy.

Transportation 77

Transportation Training Connections Data 77

SurveySparrow

DECEMBER 29, 2020

Now, look at the immense opportunities a platform like Linkedin is giving to these skilled people. Here’s a recent example from NVIDIA, a graphics processing giant, that I want to give here. And just look at the way NVIDIA is performing now! So, people are not necessarily dependent on a job to run their homes.

Employee Experience 52

Employee Experience Measurement System Culture 52

West Monroe

JANUARY 17, 2022

Big companies—including Meta (née Facebook), Microsoft, Nvidia, Disney, and VMWare—are making big bets, hoping to either build their own metaverse or provide the supporting technology that companies and users will need. It’s still in the “Innovation Trigger” phase: “commercial viability is unproven.”

Trends 52

Trends e-support Technology User Experience 52

AWS Machine Learning

NOVEMBER 22, 2022

ByteDance is a technology company that operates a range of content platforms to inform, educate, entertain, and inspire people across languages, cultures, and geographies. Users trust and enjoy our content platforms because of the rich, intuitive, and safe experiences they provide. Deploying inference workloads on AWS Inferentia.

System 91

System Entertainment Innovation Data 91

AWS Machine Learning

AUGUST 8, 2022

In the following reference architecture, we show how we organized the multiple accounts and services that compose this end-to-end MLOps platform for building ML models and deploying them at the edge. This is the preferred option to quickly onboard new devices into the platform.

Management 84

Management Policies Training Data 84

AWS Machine Learning

DECEMBER 16, 2022

There are two prominent use cases that have these requirements: The first is active ML experimentation by data scientists using the Amazon SageMaker training platform, especially while training large models, like GPT3, that require multiple iterations to get to a production-ready state. He has an M.S.

Training 78

Training Management Multi-Channel Software 78

AWS Machine Learning

OCTOBER 19, 2022

You can now use NVIDIA Triton Inference Server to serve models for inference on SageMaker for heterogeneous compute requirements. Check out Deploy fast and scalable AI with NVIDIA Triton Inference Server in Amazon SageMaker for additional details. Conclusion. Anand Prakash is a Senior Solutions Architect at AWS Data Lab.

Groups 83

Groups Training Data Resources 83

AWS Machine Learning

DECEMBER 16, 2022

SageMaker model parallel (SMP) library is a large-model training solution available on Amazon SageMaker platform. In the previous versions of SageMaker model parallel, we used NVIDIA Collective Communications Library (NCCL) for these collectives.

Training 70

Training Travel Communication Software 70

West Monroe

JANUARY 17, 2022

Big companies—including Meta (née Facebook), Microsoft, Nvidia, Disney, and VMWare—are making big bets, hoping to either build their own metaverse or provide the supporting technology that companies and users will need. It’s still in the “Innovation Trigger” phase: “commercial viability is unproven.”

Trends 40

Trends e-support Technology User Experience 40