The demands of data-center workloads and internet traffic are growing exponentially, and new solutions are needed to keep up with these demands while reducing the current and anticipated growth of power consumption. But the variety of workloads and applications being run today means the traditional one-size-fits all approach to computing is not the answer.
As Moore’s Law comes to an end, solution providers are seeking specialized processing. Enabling specialized processing has been a focal point since the inception of the Neoverse line of platforms.
In September, when Arm introduced new Neoverse N2 and Neoverse V1 platforms, it was a testament to the groundswell of Neoverse interest and adoption across the growing ecosystem.
- The Arm Neoverse V1 platform is first in a new computing tier for Arm, and the first-ever Arm designed core to support Scalable Vector Extension (SVE), delivering 50% more performance for demanding HPC and ML workloads
- The Arm Neoverse N2 platform is the first based on Armv9, delivering 40 percent more performance for diverse workloads
- Arm Neoverse CMN-700 is the industry’s most advanced mesh interconnect to unleash the performance and performance/watt benefits of Neoverse V1 and N2 platforms
Today, Arm is sharing new features that have been added to these platforms, along with a growing list of partners bringing the superior performance, performance-per-watt, and TCO benefits of Neoverse to infrastructure markets.
- Marvell revealed its OCTEON family of networking solutions based on Neoverse N2 will begin sampling by end of 2021, providing a 3x performance uplift over previous generation OCTEON solutions
- Ministry of Electronics and Information Technology (MeitY) has announced it will join SiPearl and ETRI in licensing Neoverse V1 for its national exascale HPC project
- Oracle plans to adopt Ampere Altra CPUs for Oracle Cloud Infrastructure, as the price/performance leader across a wide range of workloads
- Arm-powered AWS Graviton2 continues to rapidly expand its EC2 footprint with steady growth and regional expansion
- Alibaba Cloud just tested the upcoming Alibaba Cloud ECS Arm instances, showing off impressive results on the SPECjbb benchmark and showing improved performance of the DragonWell JDK on Arm by 50%
- Tencent is making investments in both hardware testing and on software enablement that will allow them to adopt Neoverse technology for cloud applications
These partners are taking full advantage of what is under the hood of Neoverse platforms. This is just the tip of the iceberg for both infrastructure workload benefits and on how our partners plan to implement and take Neoverse IP to market.
A new era of computing
As we look to the next era of computing, Arm wants to change how the industry thinks about deploying infrastructure. Innovators shouldn’t have to choose between performance or power efficiency — and Neoverse helps deliver a solution that brings the best of both worlds to enable a range of cloud-to-edge use cases.
Neoverse V1 and Neoverse N2 platforms are intended to lead the way to this next era.
Neoverse V1: High-performance computing
Delivering a massive 50 percent uplift, 1.8x improvement for a range of vector workloads and 4x improvement for machine learning workloads over N1, Neoverse V1 is the first in a new performance-first computing tier for Arm.
Neoverse V1 gives Arm’s silicon partners the flexibility to build compute for applications more reliant on CPU performance and bandwidth while providing SoC design flexibility.
With the performance-first mindset, the design philosophy behind Neoverse V1 was to build the widest-microarchitecture Arm has ever produced to accommodate more instructions in flight in support of markets like high performance and exascale computing.
The wide and deep architecture with the addition of scalable vector extensions (SVE), gives Neoverse V1 the lead in per-core performance, code longevity with SVE, and provides SoC designers implementation flexibility.
For more details on the technical features of the Neoverse V1 platform, read Arm’s blog here.
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