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Tag: performant

New Qualcomm MR Reference Headset Shows What to Expect From Samsung

Alongside the announcement of the new Snapdragon XR2+ Gen 2 chip, Qualcomm also revealed its latest reference headset, a mixed reality device that’s likely...

 [Interview] Star Atlas CEO Unveils Multi-Game Ecosystem | BitPinas

Wagner emphasizes a unified universe approach, considering all games as part of a single product with native interoperability across various platforms, powered by the...

Artificial Intelligence (AI) Agents Set to Rule the Blockchain: Nansen Reports

In the face of declining prices in the crypto market and rising global interest rates, investors turned their attention to artificial intelligence (AI)...

Amazon SageMaker model parallel library now accelerates PyTorch FSDP workloads by up to 20% | Amazon Web Services

Large language model (LLM) training has surged in popularity over the last year with the release of several popular models such as Llama 2,...

Solana Dominates Ethereum In Daily Active Wallets, SOL Back To $140?

Solana (SOL), the fourth-generation blockchain, has staged a remarkable comeback, looking at on-chain metrics. Citing Artemis data, Step Data Insights on X noted that...

How Q4 Inc. used Amazon Bedrock, RAG, and SQLDatabaseChain to address numerical and structured dataset challenges building their Q&A chatbot | Amazon Web Services

This post is co-written with Stanislav Yeshchenko from Q4 Inc. Enterprises turn to Retrieval Augmented Generation (RAG) as a mainstream approach to building Q&A...

Boosting developer productivity: How Deloitte uses Amazon SageMaker Canvas for no-code/low-code machine learning | Amazon Web Services

The ability to quickly build and deploy machine learning (ML) models is becoming increasingly important in today’s data-driven world. However, building ML models requires...

Introducing Amazon SageMaker HyperPod to train foundation models at scale | Amazon Web Services

Building foundation models (FMs) requires building, maintaining, and optimizing large clusters to train models with tens to hundreds of billions of parameters on vast...

Accelerate data preparation for ML in Amazon SageMaker Canvas | Amazon Web Services

Data preparation is a crucial step in any machine learning (ML) workflow, yet it often involves tedious and time-consuming tasks. Amazon SageMaker Canvas now...

NetApp and AWS Deliver a Nine Times Performance Increase for Amazon FSx for NetApp ONTAP

New FSx for ONTAP scale-out file systems help organizations migrate or extend high-performance data-intensive workloads to the cloud SAN JOSE, Calif.–(BUSINESS WIRE)–NetApp® (NASDAQ: NTAP), the...

Introducing three new NVIDIA GPU-based Amazon EC2 instances | Amazon Web Services

Amazon Elastic Compute Cloud (Amazon EC2) accelerated computing portfolio offers the broadest choice of accelerators to power your artificial intelligence (AI), machine learning (ML),...

Simplify data prep for generative AI with Amazon SageMaker Data Wrangler | Amazon Web Services

Generative artificial intelligence (generative AI) models have demonstrated impressive capabilities in generating high-quality text, images, and other content. However, these models require massive amounts...

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