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Ep. 28: Best compute architecture for vRAN / Open RAN - Marvell Tech's take episode artwork

EPISODE · May 4, 2023 · 32 MIN

Ep. 28: Best compute architecture for vRAN / Open RAN - Marvell Tech's take

from Tantra's Mantra with Prakash Sangam · host Prakash Sangam

As the vRAN / Open RAN deployments are slowly ramping up, there are a lot of questions on the best compute architecture to use, especially for L-1 processing. The objective is to utilize the most power-efficient, cost-effective, and scalable option. The popular choice seems to be using optimized silicon instead of a generic CPU. In this episode, I talk to Joel Brand of Marvell Technology about why silicon optimized for radio workloads such as DSP-based accelerator is better. Joe also shared details about their Octeon10 Fusion processor announced at MWC 2023 and their partnership with Nokia, Samsung, and others.  My article on the subject: What is the best compute architecture for vRAN/open RAN?   

What this episode covers

As the vRAN / Open RAN deployments are slowly ramping up, there are a lot of questions on the best compute architecture to use, especially for L-1 processing. The objective is to utilize the most power-efficient, cost-effective, and scalable option. The popular choice seems to be using optimized silicon instead of a generic CPU. In this episode, I talk to Joel Brand of Marvell Technology about why silicon optimized for radio workloads such as DSP-based accelerator is better. Joe also shared details about their Octeon10 Fusion processor announced at MWC 2023 and their partnership with Nokia, Samsung, and others.  My article on the subject: What is the best compute architecture for vRAN/open RAN?

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Ep. 28: Best compute architecture for vRAN / Open RAN - Marvell Tech's take

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Frequently Asked Questions

How long is this episode of Tantra's Mantra with Prakash Sangam?

This episode is 32 minutes long.

When was this Tantra's Mantra with Prakash Sangam episode published?

This episode was published on May 4, 2023.

What is this episode about?

As the vRAN / Open RAN deployments are slowly ramping up, there are a lot of questions on the best compute architecture to use, especially for L-1 processing. The objective is to utilize the most power-efficient, cost-effective, and scalable option....

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