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.
The largest AI models can take months to train on today’s computing platforms. NVIDIA's new offerings aim to address that issue.
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 …
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, …
The key to computational storage is to initiate its commercialization by dropping the conventional "computation offloading"
The Pope weighs in on AI, Amazon Web Services rolls out instances based on next-gen GPUs, software and tools make access to quantum computing easier, and more.
The new offerings let organizations match processors to workloads as applications move from development to training a model to use in a production environment.
Today’s businesses increasingly rely on leveraging their exponentially growing data stores to extract actionable insights into customer behavior, security …
In the news this week: chip vendors make acquisitions and introduce new AI products, an analytic database provider releases an enhanced solution, and
Cisco's new rack server shows the firm thinks that their clients' AI development won't necessarily be
By optimizing for GPUs, SQream's DB update offers up to 15 times faster queries, the company