Nvidia scoops up object storage startup SwiftStack

Matthew N. Henry

Nvidia options to purchase item storage seller SwiftStack to enable its buyers speed up their artificial intelligence, large-general performance computing, and details analytics workloads.

 The Santa Clara-centered GPU seller will not offer SwiftStack software package to new prospective customers but will use SwiftStack’s 1space as portion of its internal artificial intelligence (AI) stack. It will also help buyers to use the SwiftStack software package as portion of their AI stacks, according to Nvidia’s head of business computing, Manuvir Das.

SwiftStack and Nvidia disclosed the acquisition right now. They did not expose the acquire cost, but they explained it expects the offer to shut with months.

 Nvidia beforehand labored with SwiftStack

Nvidia labored with San Francisco-centered SwiftStack for far more than eighteen months on tackling the details challenges involved with working AI purposes at a significant scale. Nvidia discovered 1space significantly valuable. SwiftStack introduced 1space in 2018 to speed up details accessibility across general public and non-public clouds by means of a single item namespace.

“Simply just set, it truly is a way of putting the right details in the right spot at the right time, so that when the GPU is fast paced, the details can be despatched to it promptly,” explained Das, who will oversee the integration of the SwiftStack as very well foreseeable future know-how options.

Das explained Nvidia buyers would be able to use business storage from any seller. The SwiftStack 1space know-how will sort the “storage orchestration layer” that sits between the compute and the storage to adequately spot the details so the AI stack operates optimally, Das explained

“We are not a storage seller. We do not intend to be a storage seller. We are not in the enterprise of promoting storage in any sort,” Das explained. “We perform pretty carefully with our storage associates. This acquisition is developed to further more the integration between distinctive storage technologies and the perform we do for AI.”

Nvidia associates with storage distributors these types of as Pure Storage, NetApp, Dell EMC and IBM. The storage distributors combine Nvidia GPUs into their arrays or offer the GPUs together with their storage in reference architectures.

Nvidia captivated to open resource tech

Das explained Nvidia discovered SwiftStack attractive because its software package is centered on open resource know-how. SwiftStack’s eponymous item-and file-centered storage and details management software package is rooted in open resource OpenStack Swift. Das explained Nvidia options to continue to perform with the SwiftStack staff to progress and optimize the know-how and make it readily available by means of open resource avenues.

“The SwiftStack staff is portion of Nvidia now,” he explained. “They’re tremendous gifted. So, the innovation will continue to come about, and all that innovation will be upstreamed into the open resource SwiftStack. It will be readily available to anybody.”

SwiftStack laid off an undisclosed range of revenue and marketing and advertising employees in late 2019, but stored the engineering and guidance staff intact according to president Joe Arnold. He attributed the layoffs to a shift in revenue focus from basic backup and archiving to AI, machine mastering (ML) and details analytics use instances.

The SwiftStack seven. software package update that emerged late last year took purpose at analytics HPC, AI and ML use instances, these types of as autonomous car or truck purposes that feed details to GPU-centered servers. SwiftStack explained at the time that it experienced labored with buyers to structure clusters that could scale to handle a number of petabytes of details and guidance throughput in surplus of one hundred GB for every next.

Das explained Nvidia has been using SwiftStack’s item storage know-how as very well as 1space. He explained Nvidia’s internal perform on details science and AI purposes experienced promptly showed the company that accelerating the laptop shifts the bottleneck elsewhere, to the storage. That played a variable in Nvidia’s acquisition of SwiftStack, he observed.

“We identified a long time back that the way to enable the buyers is not just to present them a GPU or a library but to enable them make the whole stack, all the way from the GPU up to the purposes themselves. If you glimpse at Nvidia now, we commit most of our vitality on the software package for distinctive varieties of AI purposes,” Das explained.

He explained Nvidia would completely guidance SwiftStack’s purchaser base. SwiftStack promises it has all over a hundred twenty five buyers. It goods lineup incorporated SwiftStack’s item storage software package, ProxyFS file procedure for integrated file and item API accessibility, and 1space. SwiftStack’s software package is developed to operate on commodity hardware on premises, and its 1space know-how can operate in the general public cloud.

SwiftStack expended far more than 8 decades growing its software’s capabilities considering that the company’s 2011 founding. Das explained Nvidia has no reason to offer the SwiftStack’s proprietary software package because it does not compete head to head with other item storage suppliers.

“Our philosophy here at Nvidia is we are not attempting to compete with infrastructure distributors by promoting some form of a stack that competes with other peoples’ stacks,” Das explained. “Our intention is only to make folks effective with AI. We imagine, if that takes place, everyone wins, together with Nvidia, because we imagine GPUs are the finest platform for AI.”

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