Early benchmarks show ThunderX3 performing 30% better in single-threaded workloads and up to 300% better in multi-threaded workloads compared to ThunderX2.
Nvidia’s interest in Arm comes at a time when the chipmaker, best known for its GPUs, is rapidly expanding into new verticals including cloud, AI compute, and switching.
The new chips introduce edge compute functionality allowing for things like traffic flows, telemetry data, and security functions to be executed in place.
As part of the restructure, Intel will break up its Technology, Systems Architecture, and Client Group into five teams all reporting directly to CEO Bob Swan.
The semiconductor vendor is making ASICs more accessible by allowing customers to add their intellectual property to existing chips or integrate Marvell's technologies into their designs.
While the semiconductor designer's fate remains unclear, The Wall Street Journal reports a full or partial sale and even an initial public offering are on the table.
Google also rolled out BigQuery Omni, a multi-cloud analytics service that extends BigQuery across on-premises environments, rival cloud AWS and, coming soon, Azure.
Nvidia will provide virtual GPU support on SUSE's kernel-based virtual machine platform helping to accelerate artificial intelligence and data center workloads.
Arm chips are increasingly finding their way into x86 strongholds long-held by Intel and AMD, including the cloud, 5G base stations, and even supercomputers.
Alongside its all-new Ampere-based supercomputing cluster, Nvidia also announced PCIe-based A100 GPUs, server partners, and a unified fabric manager to preempt outages.