In the past, accessing a graphic processing unit (GPU) to accelerate your data processing or scientific simulation code was difficult. Today, startups can log on to their AWS console and choose from a range of GPU-based Amazon EC2 instances on demand. Whether you're looking for a do-it-yourself or a fully managed approach, we'll show you how to choose the right instance on AWS to meet your target performance goals. You'll learn how to maximize resource utilization to find performance bottlenecks, and how to reduce overall training and inference costs.
Dive deep into demonstrating SageMaker’s advanced features that help you train and iterate on your ML model...
Other content in this section
Learn how Airtable’s scripting environment works, how Airtable uses AWS Lambda and V8 Isolates to provide defense in depth and safely run untrusted code authored by users.
Learn how Skydio is using AWS to enable rapid development of disconnected intelligent systems. AWS services like Amazon Kinesis and Amazon S3 enable Skydio’s high-throughput data ingestion.
Join Kelsey Steinbeck, director of DevOps at Indigo, to learn how Indigo approached the challenge of streamlined feature testing in a tightly integrated environment.
Learn from CIO Abhishek Ravi about Dream11’s journey with AWS, its scalable initiatives on AWS analytics, and how it’s operating at scale.
Cloud robotics seems to be the new buzzword in the area of automation, but what does it really mean and how can it benefit your organization?
Engineering Manager Carl Sverre discusses how SingleStore leverages AWS services in the ML workflow to compile and run Amazon SageMaker models as database functions against real-time data.
Don’t let the idea of integrating artificial intelligence (AI) or machine learning (ML) into your workflow intimidate you.
Watch this session to review AWS AV solutions for the toolchain including data ingest, management, labeling, simulation, and model training.
To help learn from those who’ve done it before, we’ve gathered AI/ML founders from some of the world’s top startups to give a peek behind the scenes into the secrets of their own success.
Discover how to set up a data lake and implement it into an ML experiment workflow, how to prepare an end-to-end workflow to easily share the workload, and other tips for scaling your startup.
Dive deep into demonstrating SageMaker’s advanced features that help you train and iterate on your ML models faster.
We know that the world’s biggest problems, like world hunger and climate change, aren’t solved by individual action. They’re solved by companies and governments acting at scale and, ideally, in unison
In this session, HackerOne cofounder and security expert Jobert Abma reviews high-severity bugs that surfaced in bug bounty programs over the years for AWS applications. These are bugs that may be rew
With a digital-first mindset combined with machine learning tools, Konfío leverages big data, AWS Lambda, and more to provide instant loans to small and midsize businesses (SMBs) and boost small and m
How do the world’s largest brands, like Lego, British Airways, and Allstate Insurance, find ways to continually improve their customer experiences? They use Decibel, an award-winning, machine learning
Efficiency is absolutely key for SkyAlert, a startup that provides technological solutions to disaster prevention. Join Francisco Catalá, SkyAlert CTO, as he discusses upholding safety standards and h
What’s the key to the future of diversity and inclusion in the fashion industry? According to Lalaland cofounder and CTO Ugnius Rimsa, it’s AI. Learn how Lalaland uses Amazon services like Amazon Cogn
Over the last five years, Swiggy went through a hypergrowth phase on AWS. This talk describes three major technical challenges that Swiggy faced while delivering a “convenience as a service" platform.
Ezra Olubi, cofounder and CTO of Paystack, discusses how picking the right tools with AWS allowed the company to scale up from processing $2,500 in online payments to processing over $150 million for
Kurly CEO and founder Sophie Kim shares her insight on transforming her next-day grocery delivery service Market Kurly with AWS. Learn how Kurly utilizes services from Amazon EC2 to Amazon Personalize