![]() Testing on a popular distributed memory caching system, MemCacheD, shows a performance increase of up to 15%.SPEC CPU and SPECRate (speed and throughput) show a 13% and 17% rate increase, respectively.The performance numbers reported for V2 show a marked increase over V1 across all the workloads one would care about. Announced last year, V2 is coming to market with the strongest endorsement Arm could hope for: Nvidia’s Grace supercomputing chip is designed on the V2 architecture. ![]() V2 is the company's next-generation V-Series product. The company's V-Series has done quite well with high-performing workloads that span HPC vertical segments thanks to its fast core performance combined with architectural advancements such as the scalable vector engine (SVE) and CMN-700, a high-speed interconnect that enables connecting memory, storage and workload accelerators over a highly scalable mesh. As mentioned earlier, Arm has found success appealing to the higher end of the server market, powering workloads with higher performance needs and scaling into HPC and AI/ML. The other news coming out of Arm is tied to its higher-performing V-Series platform. Neoverse V2 Platform: performance lifts for the cloud, HPC and ML Designing on CSS can enable these providers to deliver deeper levels of differentiation faster. This is a common practice for virtually every major cloud provider. I can also foresee hyperscalers utilizing CSS to develop in-house silicon to perform specialized functions. ![]() And the estimated 80 engineering years saved highlighted in the diagram above? That doesn't just mean shortening time to market it also means significant cost savings in the whole process of developing tailored silicon. CSS can also position Arm’s architecture as a first mover in many emerging, high-growth markets. There’s real potential for Arm with this move, and not only because of the expanded business opportunities. CSS delivers considerable time and cost savings Arm
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