VMware at the moment announced that it has acquired Bitfusion, a former participant in our Startup Battlefield competition. Bitfusion was one of many earliest firms to assist companies speed up their advanced computing workloads on GPUs, FPGAs and ASICs. In its earliest iteration, over 4 years in the past, the corporate’s focus was much less on AI and machine studying and extra on different areas of high-performance computing, however, unsurprisingly, that shifted because the excited about AI and ML elevated in recent times.

VMware will use Bitfusion’s know-how, which is vendor- and hardware-agnostic, to deliver related capabilities to its clients. Specifically, it plans to combine Bitfusion into its vSphere platform.

“Once closed, the acquisition of Bitfusion will bolster VMware’s strategy of supporting AI- and ML-based workloads by virtualizing hardware accelerators,” writes Krish Prasad, senior vp and basic supervisor of VMware’s Cloud Platform Business Unit. “Multi-vendor hardware accelerators and the ecosystem around them are key components for delivering modern applications. These accelerators can be used regardless of location in the environment – on-premises and/or in the cloud.”

Prasad additionally notes that to get essentially the most out of accelerators like GPUs, most enterprises deploy them on naked metallic. VMware, nonetheless, argues that this results in poor utilization and poor efficiencies (as it will, in fact, provided that it’s within the enterprise of virtualization). “This provides a perfect opportunity to virtualize them—providing increased sharing of resources and lowering costs,” writes Prasad.

The two firms didn’t disclose the value of the acquisition. Bitfusion had raised $5 million in 2017 and a smaller, strategic funding from Samsung Ventures in 2018.

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