The company announced plans to acquire the open-source artificial intelligence platform Node.ai in an effort to catalyze the development of its software resources. The recently begun wave of startup acquisitions indicates intentions for a dominant position in the AI industry.
The claim that AMD and Nvidia are currently in a "technological race", especially in the field of artificial intelligence, is a fact that no one can deny. Both companies are striving to improve their software and hardware capabilities. However, for now, it can be said that AMD is lagging in all areas and currently Nvidia is the dominant force in the market. With the acquisition of Nod.ai, the company intends to strengthen the development of its software resources to try to compete with its rivals from the green team.
“With the acquisition of Nod.ai, we expect to significantly enhance our ability to provide our customers with open software that allows them to easily deploy high-performance AI models specifically tuned for AMD hardware. The addition of the talented team at Nod.ai will accelerate our ability to refine open-source compilation technology and enable portable, high-performance artificial intelligence solutions in our product portfolio. Nod.ai technologies are already widely used in cloud services across a wide range of devices used daily by end-users.”
- SVP Ai Vamsi Bopana.
What exactly will Nod.ai contribute after joining AMD's arsenal? The company is widely known for its high-performance machine learning distribution mechanism, which it calls "SHARK". The automation software eliminates the need for manual optimizations and helps with the "rapid" deployment of AI models, which will ultimately help AMD upgrade its future and existing products with CDNA, XDNA, RDNA, and ZEN architectures.
Although the official amount for the acquisition has not yet been disclosed, it will come to light once the deal is finalized. Nevertheless, with the inclusion of Nod.ai in the red team's camp, it is clear that the company is ramping up its efforts to upgrade its artificial intelligence software resources. In the long term, this will help it compete with technologies like Nvidia's CUDA, for example. The coming years will certainly be much more competitive, especially with the release of the next generation of AI accelerators, such as Instinct MI400.
Source: AMD
