O'Reilly Media - Data

OCTOBER 31, 2019

Theodore Summe offers a glimpse into how Twitter employs machine learning throughout its product. Megan Kacholia explains how Google’s latest innovations provide an ecosystem of tools for developers, enterprises, and researchers who want to build scalable ML-powered applications. Watch “ MLIR: Accelerating AI “

Artificial Inteligence 246

Artificial Inteligence Machine Learning IoT Open Source 246

AWS Machine Learning - AI

DECEMBER 2, 2024

Finally, we delve into the supported frameworks, with a focus on LMI, PyTorch, Hugging Face TGI, and NVIDIA Triton, and conclude by discussing how this feature fits into our broader efforts to enhance machine learning (ML) workloads on AWS. This feature is only supported when using inference components. gpu-py311-cu124-ubuntu22.04-sagemaker",

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Generative AI Artificial Inteligence Machine Learning AWS 100

The Crazy Programmer

MARCH 15, 2021

It is a machine level language and hence more complex in its structure and difficult to learn. This can be used in both software and hardware programming. It is widely used in programming hardware devices, OS, drivers, kernels etc. Python emphasizes on code readability and therefore has simple and easy to learn syntax.

Programming 317

Programming Open Source Trends Quality Assurance 317

CIO

MARCH 31, 2025

Core challenges for sovereign AI Resource constraints Developing and maintaining sovereign AI systems requires significant investments in infrastructure, including hardware (e.g., Many countries face challenges in acquiring or developing the necessary resources, particularly hardware and energy to support AI capabilities.

Technical Review 117

Technical Review Artificial Inteligence Compliance Open Source 117

TechCrunch

AUGUST 25, 2021

Bodo.ai , a parallel compute platform for data workloads, is developing a compiler to make Python portable and efficient across multiple hardware platforms. I joined Intel Labs to work on the problem, and we think we have the first solution that will democratize machine learning for developers and data scientists.

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Artificial Inteligence Machine Learning Data Artificial Intelligence 234

TechCrunch

APRIL 20, 2023

Venturo, a hobbyist Ethereum miner, cheaply acquired GPUs from insolvent cryptocurrency mining farms, choosing Nvidia hardware for the increased memory (hence Nvidia’s investment in CoreWeave, presumably). Initially, CoreWeave was focused exclusively on cryptocurrency applications. Intrator says it has over 30 members.)

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Artificial Inteligence Cloud Generative AI Google Cloud 244

AWS Machine Learning - AI

NOVEMBER 26, 2024

there is an increasing need for scalable, reliable, and cost-effective solutions to deploy and serve these models. This configuration allows for the efficient utilization of the hardware resources while enabling multiple concurrent inference requests. With the rise of large language models (LLMs) like Meta Llama 3.1,

AWS 100

AWS Load Balancer Software Review Artificial Inteligence 100

AWS Machine Learning - AI

MARCH 13, 2025

Amazon SageMaker AI provides a managed way to deploy TGI-optimized models, offering deep integration with Hugging Faces inference stack for scalable and cost-efficient LLM deployment. There are additional optional runtime parameters that are already pre-optimized in TGI containers to maximize performance on host hardware.

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Artificial Inteligence AWS Machine Learning Load Balancer 95

TechCrunch

DECEMBER 1, 2020

And because of its unique qualities, video has been largely immune to the machine learning explosion upending industry after industry. Just one problem: when you get a new codec, you need new hardware. This is hardware acceleration that can be adapted in milliseconds to a new purpose.

Video 252

Video Hardware Technical Cofounder Artificial Inteligence 252

AWS Machine Learning - AI

NOVEMBER 14, 2024

of a red apple Practical settings for optimal results To optimize the performance for these models, several key settings should be adjusted based on user preferences and hardware capabilities. She’s passionate about machine learning technologies and environmental sustainability. A photo of a (red:1.2)

Engineering 112

Engineering AWS 3D Generative AI 112

TechCrunch

AUGUST 24, 2023

Bringing Modular’s total raised to $130 million, the proceeds will be put toward product expansion, hardware support and the expansion of Modular’s programming language, Mojo, CEO Chris Lattner says. times faster versus on their native frameworks, Lattner claims. . ” Ambitious much? It’s already had an impact.

Tools 197

Tools Technical Cofounder Hardware Artificial Inteligence 197

CIO

JANUARY 20, 2023

Some are relying on outmoded legacy hardware systems. Most have been so drawn to the excitement of AI software tools that they missed out on selecting the right hardware. Dealing with data is where core technologies and hardware prove essential. For data to travel seamlessly, they must have the right networking system.

Analytics 205

Analytics Artificial Inteligence Artificial Intelligence Hardware 205

TechCrunch

JANUARY 25, 2022

Quantum computing promises to unlock a new wave of processing power for the most complex calculations, but that could prove to be just as harmful as it is helpful: security specialists warn that malicious hackers will be able to use quantum machines to break through today’s standards in cryptography and encryption.

Technical Review 211

Technical Review Hardware Software Review Artificial Inteligence 211

CIO

OCTOBER 3, 2024

Rather than pull away from big iron in the AI era, Big Blue is leaning into it, with plans in 2025 to release its next-generation Z mainframe , with a Telum II processor and Spyre AI Accelerator Card, positioned to run large language models (LLMs) and machine learning models for fraud detection and other use cases.

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Artificial Inteligence Generative AI Machine Learning Enterprise 210

TechCrunch

SEPTEMBER 27, 2021

Machine learning and other artificial intelligence applications add even more complexity. “With a step-function increase in folks working/studying from home and relying on cloud-based SaaS/PaaS applications, the deployment of scalable hardware infrastructure has accelerated,” Gajendra said in an email to TechCrunch.

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Artificial Inteligence Applications Cloud Artificial Intelligence 246

TechCrunch

AUGUST 16, 2022

And in the realm of startups, Blueshift Memory and Speedata are creating hardware that they say can perform analytics tasks significantly faster than standard processors. A core component of Pliops’ processor is its hardware-accelerated key-value storage engine. Image Credits: Pliops. Image Credits: Pliops. The road ahead.

Data Center 208

Data Center Analytics Weak Development Team Data 208

CIO

APRIL 12, 2024

These roles include data scientist, machine learning engineer, software engineer, research scientist, full-stack developer, deep learning engineer, software architect, and field programmable gate array (FPGA) engineer. It is used to execute and improve machine learning tasks such as NLP, computer vision, and deep learning.

Open Source 187

Open Source Artificial Inteligence Machine Learning Generative AI 187

CIO

JANUARY 4, 2024

Setting up Articul8 as a separate company will help Intel stimulate demand for its AI hardware, including Xeon scalable processors and Gaudi accelerators — but the Articul8 platform also supports a range of hybrid infrastructure alternatives, including Nvidia’s. AMD too has been building up the software component of its AI stack.

Enterprise 183

Enterprise Company Generative AI Telecommunications 183

AWS Machine Learning - AI

JANUARY 29, 2025

In this post, we explore how to deploy distilled versions of DeepSeek-R1 with Amazon Bedrock Custom Model Import, making them accessible to organizations looking to use state-of-the-art AI capabilities within the secure and scalable AWS infrastructure at an effective cost.

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Generative AI Artificial Inteligence AWS Technical Review 129

Apiumhub

OCTOBER 16, 2018

Machine learning is a branch of computer science that uses statistical methods to give computers the ability to self-improve without direct human supervision. Machine learning frameworks have changed the way web development companies utilize data. 5 Best Machine Learning Frameworks for Web Development.

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Artificial Inteligence Machine Learning Web Development Development 76

TechCrunch

OCTOBER 6, 2022

The proceeds bring the company’s total raised to $17 million, which CEO Sankalp Arora says is being put toward expanding Gather’s deployment capacity and go-to-market plans as well as hiring new machine learning engineers. ” Gather isn’t the first to market with a drone-based inventory monitoring system.

Off-The-Shelf 221

Off-The-Shelf Hardware Artificial Inteligence Machine Learning 221

AWS Machine Learning - AI

NOVEMBER 26, 2024

Using vLLM on AWS Trainium and Inferentia makes it possible to host LLMs for high performance inference and scalability. max-num-seqs 32 : This is set to the hardware batch size or a desired level of concurrency that the model server needs to handle. block-size 8 : For neuron devices, this is internally set to the max-model-len. --max-num-seqs

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Artificial Inteligence AWS Artificial Intelligence Generative AI 99

AWS Machine Learning - AI

SEPTEMBER 26, 2024

Trained on the Amazon SageMaker HyperPod , Dream Machine excels in creating consistent characters, smooth motion, and dynamic camera movements. To accelerate iteration and innovation in this field, sufficient computing resources and a scalable platform are essential.

Case Study 117

Case Study Video Training Scalability 117

d2iq

JANUARY 18, 2022

In this post , we’ll discuss how D2iQ Kaptain on Amazon Web Services (AWS) directly addresses the challenges of moving machine learning workloads into production, the steep learning curve for Kubernetes, and the particular difficulties Kubeflow can introduce.

Artificial Inteligence 72

Artificial Inteligence Machine Learning AWS Weak Development Team 72

AWS Machine Learning - AI

APRIL 16, 2025

This challenge is further compounded by concerns over scalability and cost-effectiveness. Fine-tuning LLMs is prohibitively expensive due to the hardware requirements and the costs associated with hosting separate instances for different tasks. The following diagram represents a traditional approach to serving multiple LLMs.

Artificial Inteligence 89

Artificial Inteligence Generative AI AWS Storage 89

CIO

JUNE 18, 2024

This configuration ensures a resilient and scalable infrastructure, capable of meeting the computational workload demands of real-time processing and decision-making but also providing the flexibility to adapt to evolving environments and more complex tasks.

Artificial Inteligence 167

Artificial Inteligence Storage Artificial Intelligence Hardware 167

Perficient

FEBRUARY 17, 2025

React : A JavaScript library developed by Facebook for building fast and scalable user interfaces using a component-based architecture. Technologies : Node.js : A JavaScript runtime that allows developers to build fast, scalable server-side applications using a non-blocking, event-driven architecture. Unreal Engine Online Learning.

Development 52

Development Software Review Technical Review Systems Review 52

CIO

DECEMBER 22, 2022

They self-organize around goals and seek to reduce “heroism” in favor of sustainable and scalable teams and processes. Where DataOps fits Enterprises today are increasingly injecting machine learning into a vast array of products and services and DataOps is an approach geared toward supporting the end-to-end needs of machine learning.

Analytics 195

Analytics Data Engineering Artificial Inteligence Machine Learning 195

CIO

SEPTEMBER 13, 2024

The system uses robotics technology to improve scalability and cycle times for material delivery to manufacturing. The automation-related hardware and software challenges were fairly straightforward, he says, requiring predominantly adjustments to the speed of the hardware. That’s the magnanimity of this particular project.”

Artificial Inteligence 184

Artificial Inteligence Transportation Storage Artificial Intelligence 184

Altexsoft

MARCH 30, 2020

Major cons: the need for organizational changes, large investments in hardware, software, expertise, and staff training. the fourth industrial revolution driven by automation, machine learning, real-time data, and interconnectivity. Similar to preventive maintenance, PdM is a proactive approach to servicing of machines.

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Artificial Inteligence Machine Learning Technical Review IoT 72

CIO

NOVEMBER 17, 2023

MSPs can also bundle in hardware, software, or cloud technology as part of their offerings. For example, an enterprise that has large investments in hardware and software can’t just reverse that investment during downturns. Managed Service Providers, Outsourcing

Technical Review 195

Technical Review Artificial Inteligence Systems Review Disaster Recovery 195

AWS Machine Learning - AI

MARCH 11, 2025

By integrating this model with Amazon SageMaker AI , you can benefit from the AWS scalable infrastructure while maintaining high-quality language model capabilities. Solution overview You can use DeepSeeks distilled models within the AWS managed machine learning (ML) infrastructure. Then we repeated the test with concurrency 10.

Artificial Inteligence 72

Artificial Inteligence AWS Generative AI Metrics 72

TechCrunch

MAY 15, 2023

As for Re, he’s co-founded various startups, including SambaNova , which builds hardware and integrated systems for AI. On the AI hardware infrastructure front, besides the big public cloud providers, startups like CoreWeave claim to offer powerful compute for below market rates. Google Cloud, AWS, Azure).

Open Source 229

Open Source Generative AI ChatGPT Hardware 229

AWS Machine Learning - AI

MARCH 13, 2025

Amazon Bedrocks broad choice of FMs from leading AI companies, along with its scalability and security features, made it an ideal solution for MaestroQA. Its serverless architecture allowed the team to rapidly prototype and refine their application without the burden of managing complex hardware infrastructure.

Generative AI 110

Generative AI CTO Coach AWS Artificial Inteligence 110

IDC

JUNE 24, 2019

Automated Machine Learning. Automated machine learning (AutomML) is the automation of the end-to-end process of applying machine learning (ML) to real-world problems. All this fast hardware can be expensive and difficult to manage. Embedded AI.

Artificial Inteligence 106

Artificial Inteligence Innovation Enterprise Machine Learning 106

Altexsoft

MAY 20, 2020

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. Edge computing stack.

IoT 141

IoT Azure AWS Transportation 141

CIO

AUGUST 23, 2022

With a majority of employees splitting their time between the home office and workplace, managing and securing the enterprise inside and outside its boundaries in a flexible and scalable manner is a priority. . Organizations are also looking to accelerate connectivity to edge locations while easing the burden of managing those new locales.

Artificial Inteligence 158

Artificial Inteligence Technical Review Artificial Intelligence Network 158