by Max Maxfield
Since I spend an inordinate and unfortunate amount of time worrying about the possibility of a forthcoming artificial intelligence (AI) apocalypse, I was delighted to hear that the folks at ETSI have plunged into the fray with regard to establishing the world’s first standardization initiative dedicated toward securing AI. We will return to ETSI’s initiative shortly, but first…
To be honest, things are now happening so fast with regard to AI that it’s starting to make my head spin (see also What the FAQ are AI, ANNs, ML, DL, and DNNs?). As I’ve mentioned before, AI has been long in the coming. Way back in the 1840s, Ada Lovelace, who was assisting Charles Babbage on his quest to build a mechanical computer called the Analytical Engine, jotted down some thoughts about the possibility of computers one day using numbers as symbols to represent other things like musical notes. She even went so far as to speculate of machines:
Run:AI Raises $30M To Split Up GPUs Into AI, HPC Containers
The Tel Aviv-based startup offers a virtualization platform that allows organizations to split up Nvidia GPUs into smaller, virtual GPU instances so that multiple workloads can run on the same GPU, speeding up the pace of GPU-based projects while also increasing the utilization of existing infrastructure. By Dylan Martin January 26, 2021, 09:00 AM EST
A virtualization software startup that helps organizations split up GPUs into smaller instances to save money and maximize utilization on AI infrastructure has raised a new round of funding.
Run:AI, a startup based in Tel Aviv, Israel, with offices in New York and Boston, announced on Tuesday that it has raised a $30 million Series B funding round led by private equity firm Insight Partners, two years after the company started. Other investors included TLV Partners and S-Capital.