The Latest News in AI

We publish news articles on Forbes, which are copied here for your convenience.  

Don’t Trust AI? NVIDIA Guardrails May Lower Your Anxiety, And Save Your Job.

A new Nemo Open-Source toolkit allow engineers to easily build a front-end to any Large Language Model to control topic range, safety, and security. We’ve all read about or experienced the major issue of the day when it comes to large language models (LLMs). “My LLM...

Qualcomm Doubles The Smart In Smartphones

For the last decade, a “smart phone” was defined by its ability to run applications locally on the device. These days, however, “smart” means features powered by AI, with intelligent applications such as enhanced computational photography, voice processing and gaming...

MediaTek Reinvents The Smart Car, With Help From Partner Nvidia

MediaTek has announced four new SoCs for the next-gen automotive cockpit, the first to leverage Nvidia ADAS hardware and software. Last year, MediaTek announced it is collaborating with Nvidia to incorporate the AI leader’s technology into the next-gen automotive...

How AI Changes The Role Of Memory Companies And Their Value

As GPU’s become a bigger part of data center spend, the companies that provide the HBM memory needed to make them sing are benefitting tremendously. AI system performance is highly dependent on memory capacity, bandwidth and latency. Consequently, memory technology is...

A Look At Graphcore’s AI Software

Software for new processor designs is critical to enabling application deployment and optimizing performance. UK-based startup Graphcore, the unicorn provider of silicon for application acceleration, places significant emphasis on software, dedicating roughly half its...

MLPerf Training 4.0: It’s All About Scale

While there isn’t a lot of new hardware (none!), Nvidia and Intel show off their muscles and ability to run new models at scale. Ok, here we go again. MLCommons has released new AI benchmarks, this time for training. And again. Nvidia runs all AI models better than...

NVIDIA Launches Ampere A100 GPU For Data Center Computing And AI

Figure 1: NVIDIA shared performance comparisons across a range of precisions. Note the huge performance increase for sparse matrix operations. Note the banks of 6 HBM chips. image:NVIDIA While many of us missed watching Jensen Huang on stage in his trademark leather...

Is Nvidia Competing With Its GPU Cloud Partners?

Nvidia recently announced two new cloud initiatives. First, the company announced DGX Cloud Lepton, designed to connect artificial intelligence developers with Nvidia’s wide network of cloud providers. Second, Nvidia announced a new cloud service, the Industrial AI...

Qualcomm Readies CPUs For The Data Center Using Nvidia NVLink Fusion

NVLink has become a second, and perhaps deeper, moat for Nvidia, following its CUDA software tools and libraries. There's a reason the AI community prefers NVLink for connecting multiple GPUs: it is mind-blowingly fast, more than three times the performance of the...

The 2024 AI HW Summit: Here’s What Caught My Attention

The Summit drew over 1000 attendees this year, with scores of presentations and hundreds of AI leaders from large companies as well as many startups. Every September since 2019, the AI HW Summit in the Bay Area has been the focal point for new technologies around AI....