TensorWave thinks it can break Nvidia’s grip on AI compute with an AMD-powered cloud
Chipmaker Nvidia notched $30 billion in revenue last fiscal quarter, driven in large part by the AI industry’s insatiable demand for GPUs. GPUs are essential for training and running AI models; they contain thousands of cores that work in parallel to quickly perform the linear algebra equations scaffolding the models.
The appetite for AI remains high, and Nvidia’s GPUs have become the chip of choice among AI players of all sizes. But TensorWave, a company founded late last year, is going against the grain by launching a cloud that only offers access to hardware from Nvidia rival AMD for AI workloads.
“We recognized an unhealthy monopoly at work — one that was starving end-users of compute access and stifling innovation in the AI space,” Darrick Horton, TensorWave’s CEO and one of its co-founders, told TechCrunch. “Motivated by our desire to democratize AI, we set out to provide a viable alternative and restore competition and choice.”
Pickleball initially brought Horton together with TensorWave’s other two co-founders, Jeff Tatarchuk and Piotr Tomasik — or at least, it’s what got the ball rolling (excuse the pun).
