Tue. 12/03 - Pablo Escobar's Brother's Smartphone
Tech Brew Ride Home
Amalgamated Internets, LLC
4.7 • 1K Ratings
🗓️ 3 December 2019
⏱️ 20 minutes
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| 0:00.0 | Welcome to the Tech Meme Ride Home for Tuesday, December 3rd, 2019. |
| 0:07.8 | I'm Brian McCullough. Today, headlines from Reinvent, how Tech is caught up in a terrafore with France, |
| 0:15.0 | Facebook created a chatpot to help employees explain themselves during the holidays, |
| 0:19.0 | and let me tell you about the new foldable phone from Pablo Escobar's brother. Here's what you miss today in the world of |
| 0:25.5 | tech. As mentioned yesterday, Amazon is holding its Reinvent Conference right now and a couple of |
| 0:39.1 | headlines from that today. |
| 0:41.1 | First, AWS is updating its arm-powered processor line with Graviton 2, which it claims offers |
| 0:46.8 | 40% better performance over comparable X86-based cloud instances, and it will cost 20% less to |
| 0:54.7 | AWS is serious about arm processors in the data center it seems |
| 1:00.4 | quoting z-dd-net grav 2, which is optimized for cloud native applications, is based on 64-bit |
| 1:07.3 | Arm, Neo-Verse Cores, and a custom system on a chip designed by AWS. |
| 1:13.4 | Graviton 2 boasts 2X faster floating point |
| 1:16.6 | performance per core for scientific and high performance |
| 1:18.9 | workloads, support for up to 64 virtual CPU's 25 G BPS of networking and 18 G BPS of EBS bandwidth |
| 1:28.0 | end quote and AWS has also launched its custom Inferentia Inferencing chips for EC2 instances |
| 1:37.5 | which promised to be more cost-effective than existing options, quoting Tech Crunch. |
| 1:42.0 | These new chips promised to make inferencing. options. Quoting Tech Crunch. |
| 1:43.0 | These new chips promise to make inferencing. |
| 1:45.5 | That is using the machine learning models you pre-trained earlier, significantly faster and cost effective. |
| 1:51.8 | As AWS CEO Andy Jesse noted, a lot of companies are |
| 1:54.6 | focusing on custom chips that let you train models, though Google and others |
| 1:58.4 | would surely disagree there. Inferencing tends to work well on regular |
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