NVIDIA: AI Still Has a Hardware Problem
The largest AI models can take months to train on today’s computing platforms. NVIDIA's new offerings aim to address that issue.
Real-time Analytics News for Week Ending March 26
In this week's real-time analytics news: NVIDIA's GTC conference saw many new offerings from the company and its partners to accelerate AI and extend its use …
NVIDIA and Partners Target Artificial Intelligence at GTC
New products announced at the NVIDIA GTC conference had a common objective: Accelerate AI and extend its use to new application areas including digital twins, …
Global Chip Shortage Will Persist
The supply chain for chips is fragile and may interrupt AI/ML projects. The situation will not change without immediate domestic chip production funding.
AI Workloads Need Purpose-built Infrastructure
Research shows that an inadequate or lack of purpose-built infrastructure capabilities is often the cause of AI projects
Computational Storage: Go Beyond Computation Offloading
The key to computational storage is to initiate its commercialization by dropping the conventional "computation offloading"
Parallel Processing 2.0: Round Two, Ready Fight!
Vectorized CPUs have been gestating for decades. Now they are emerging as the innovator’s choice as they use parallel CPU instructions when working on a …
Digital Transformation: How AI Can Help CFOs
Successful digital transformation initiatives include powerful AI and machine learning techniques to process and analyze large volumes of data across the …
NVIDIA’s New Grace CPU Enables Giant AI
The Grace processor, named for computer technology pioneer Grace Hopper, will make working with some of the most processing intense and data massive …
Jetson Nano 2GB Among Big Announcements at NVIDIA’s Virtual Conference
New NVIDIA offerings align with its commitment to creating an AI-driven world for all companies, enterprises, developers, and
