Luis Ceze, CEO, Co-Founder at OctoML, talks with John Furrier at Amazon re:MARS 2022 in Las Vegas, NV.
Forgot Password
Almost there!
We just sent you a verification email. Please verify your account to gain access to
Amazon re: Mars 2022. If you don’t think you received an email check your
spam folder.
In order to sign in, enter the email address you used to registered for the event. Once completed, you will receive an email with a verification link. Open this link to automatically sign into the site.
Register For Amazon re: Mars 2022
Please fill out the information below. You will recieve an email with a verification link confirming your registration. Click the link to automatically sign into the site.
You’re almost there!
We just sent you a verification email. Please click the verification button in the email. Once your email address is verified, you will have full access to all event content for Amazon re: Mars 2022.
I want my badge and interests to be visible to all attendees.
Checking this box will display your presense on the attendees list, view your profile and allow other attendees to contact you via 1-1 chat. Read the Privacy Policy. At any time, you can choose to disable this preference.
Select your Interests!
add
Upload your photo
Uploading..
OR
Connect via Twitter
Connect via Linkedin
EDIT PASSWORD
Share
Forgot Password
Almost there!
We just sent you a verification email. Please verify your account to gain access to
Amazon re: Mars 2022. If you don’t think you received an email check your
spam folder.
In order to sign in, enter the email address you used to registered for the event. Once completed, you will receive an email with a verification link. Open this link to automatically sign into the site.
Sign in to gain access to Amazon re: Mars 2022
Please sign in with LinkedIn to continue to Amazon re: Mars 2022. Signing in with LinkedIn ensures a professional environment.
play_circle_outlineOctoML's CEO is Making Machine Learning Accessible for Sustainable Growth with Apache TVM
replyShare Clip
play_circle_outlineOctoML: The Revolutionary Platform for Machine Learning on Any Hardware
replyShare Clip
play_circle_outlineFragmented ecosystem of hardware vendors with their own software stacks
replyShare Clip
play_circle_outlineVision for automated deployment of machine learning models
replyShare Clip
play_circle_outlineAgility as key output, including walk-off time and flexibility of model deployment locations.
replyShare Clip
play_circle_outlineImportance of software in hardware companies and the need for integration
replyShare Clip
play_circle_outlineMaximizing Efficiency: The Advantages of Utilizing our Solution and the Consumption-Based Business Model
replyShare Clip
play_circle_outlineEnabling Hardware on Platform: Partnerships with Qualcomm, AMD and Focus on Consumer Electronics, Self-Driving Cars, and AI-First Companies
replyShare Clip
play_circle_outlineOctoML's Flow: Enabling ML Model Integration in Intelligent Apps with CI/CD Integration".
replyShare Clip
play_circle_outlineOctoML can help with deploying models on any instance of any cloud
replyShare Clip
play_circle_outlineOctoML Enables Machine Learning Deployment on Edge Devices and Own Infrastructure".
replyShare Clip
play_circle_outlineMastering DevOps Agility and Crafting Optimal Models for Machine Learning Success
replyShare Clip
play_circle_outlineRevolutionizing Machine Learning: Best in Breed Deployment, Scalability, and Ecosystem Integrations