SANTA CLARA, California, March 20 (Reuters) - Synopsys ( SNPS )
on Wednesday showed a set of software tools designed to make it
easier and faster to design cars, data centers and other big
systems that rely on semiconductors.
Synopsys ( SNPS ) is one of the major players in making software for
designing the chips themselves, helping companies like Nvidia ( NVDA )
decide how to arrange hundreds of billions of
transistors on small squares of silicon.
But with its $35 billion offer to buy engineering software
firm Ansys ( ANSS ), Synopsys ( SNPS ) aims to also help customers design
the products and systems where those chips will ultimately end
up. At its annual developer conference in Santa Clara,
California on Wednesday, Synopsys ( SNPS ) Chief Executive Sassine Ghazi
outlined how some customers are doing that.
Tesla, for example, uses a virtual simulation of a
custom chip to start writing the software for that chip and
testing how the software will control its cars long before any
physical item has been manufactured. In an interview, Sassine
said other automotive customers will follow suit, though he
declined to name them.
"Tesla was a pioneer in looking at the car as a
software-defined vehicle," Ghazi told Reuters. "There are a
number of European and Japanese OEMs that are going down that
path, and the Chinese are racing toward it as well."
Synopsys ( SNPS ) also outlined how the operators of huge data
centers that power artificial intelligence systems such as
copilots or chatbots can simulate how that software will run
across tens of thousands of chips - and how much heat the chips
will give off during that process, which then helps determine
how much cooling equipment will be needed.
"The speed at which AI models can evolve and produce
outcomes is limited by how quickly we can evolve the
supercomputing architecture and the hardware to meet this new
challenge," Reynold D'Sa, corporate vice president of silicon,
cloud hardware and infrastructure at Microsoft ( MSFT ) said in
a statement.