Software Alternatives & Reviews

Amazon Inferentia VS AWS Auto Scaling

Compare Amazon Inferentia VS AWS Auto Scaling and see what are their differences

Amazon Inferentia logo Amazon Inferentia

Other IT Infrastructure

AWS Auto Scaling logo AWS Auto Scaling

Learn how AWS Auto Scaling monitors your applications and automatically adjusts capacity to maintain steady, predictable performance at the lowest possible cost.
  • Amazon Inferentia Landing page
    Landing page //
    2023-04-14
  • AWS Auto Scaling Landing page
    Landing page //
    2023-02-26

Category Popularity

0-100% (relative to Amazon Inferentia and AWS Auto Scaling)
Development
39 39%
61% 61
Diagnostics Software
42 42%
58% 58
Domains
37 37%
63% 63
Monitoring Tools
35 35%
65% 65

User comments

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Social recommendations and mentions

Based on our record, AWS Auto Scaling should be more popular than Amazon Inferentia. It has been mentiond 11 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Amazon Inferentia mentions (6)

  • Amazon spends $2.7B on startup Anthropic in largest venture investment
    > Here it says they're going to use Amazon's chips for training and inference, but...Amazon doesn't have its own chips yet??? Amazon has had its own chips for years. https://aws.amazon.com/machine-learning/inferentia/ https://aws.amazon.com/machine-learning/trainium/. - Source: Hacker News / 28 days ago
  • Amazon spends $2.7B on startup Anthropic in largest venture investment
    No idea if it's any good or not, but Amazon has their own "Inferentia" chips. https://aws.amazon.com/machine-learning/inferentia/. - Source: Hacker News / 28 days ago
  • Nvidia releases new AI chip with 480GB CPU RAM, 96GB GPU RAM
    You can use them today on AWS. [0] https://aws.amazon.com/machine-learning/inferentia/. - Source: Hacker News / 11 months ago
  • Sundar Pichai: An important next step on our AI journey
    Amazon has their own TPU equivalents for training and inference: https://aws.amazon.com/machine-learning/trainium/ https://aws.amazon.com/machine-learning/inferentia/ But, I really don't think this would be a limiting factor regardless. It's not as if an Amazon or Microsoft sized company is incapable of developing custom silicon to meet an objective, once an objective is identified. - Source: Hacker News / about 1 year ago
  • Amazons home made server chips vs AMDs
    You are mistaken. See https://en.m.wikipedia.org/wiki/Annapurna_Labs and some of their work (specialized chips similar to Google’s TPU): https://aws.amazon.com/machine-learning/inferentia/. Source: over 1 year ago
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AWS Auto Scaling mentions (11)

  • Building a Greener Cloud: The Role of an Architect for Sustainability in AWS
    AWS Auto-Scaling is a service that automatically adjusts the capacity of an application in response to changing demand. It monitors resource utilization and scales resources up or down as necessary. By using AWS Auto Scaling, businesses can ensure that their applications are always running at optimal performance levels, without wasting resources or energy. - Source: dev.to / about 1 year ago
  • AWS vs Digital Ocean cost comparison in 2022
    Auto scaling lets you scale in/out your servers based on various conditions. So, you could choose to have a minimum capacity as default and let AWS scale it up automatically when needed. You could also schedule the scaling events based on time (For ex: scale to 2x servers during peak times and back to normal during normal hours) There are also other benefits that come with AWS like better eco-system of tools and... - Source: dev.to / over 1 year ago
  • Hidden, absolutely broken, mechanics
    Guys, whats this? Sounds kinda OP if you ask me Https://aws.amazon.com/autoscaling/. Source: about 2 years ago
  • A first impression of AWS App Runner
    AWS Auto Scaling – Makes sure that the application scales based on the number of concurrent requests. - Source: dev.to / over 2 years ago
  • .NET Applications with Linux Containers
    Many customers start their cloud journey with a lift-and-shift approach, running their NTier .NET Framework applications on EC2 without any code changes. It’s common for these deployments to have more than one EC2 Windows instance with an Application Load Balancer (ALB), routing the user requests to one of the EC2 instances. A stateful application can have session affinity (sticky sessions) enabled at the ALB... - Source: dev.to / over 2 years ago
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What are some alternatives?

When comparing Amazon Inferentia and AWS Auto Scaling, you can also consider the following products

Amazon Elastic Inference - Utilities, Application Utilities, and Machine Learning as a Service

IBM Cloud Bare Metal Servers - IBM Cloud Bare Metal Servers is a single-tenant server management service that provides dedicated servers with maximum performance.

Amazon Simple Workflow Service (SWF) - Amazon SWF helps developers build, run, and scale background jobs that have parallel or sequential steps.

AWS Deep Learning AMIs - The AWS Deep Learning AMIs provide machine learning practitioners and researchers with the infrastructure and tools to accelerate deep learning in the cloud, at any scale.

Movable Type - Build your website with the powerful content management system Movable Type. Our blogging software and static publishing platform makes site management easy and effective.

Faronics Deep Freeze - Faronics Deep Freeze provides the ultimate workstation protection by preserving the desired computer configuration and settings.