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- 🤖 Rent Nvidia GPUs for Accelerated AI Projects
🤖 Rent Nvidia GPUs for Accelerated AI Projects
PLUS: Google’s New AI Tool
Hyrise AI
November 02, 2023
Welcome, AI Enthusiasts.
Amazon has launched Amazon Elastic Compute Cloud (EC2) Capacity Blocks for ML, enabling customers to reserve Nvidia H100 Tensor Core GPU instances for specific timeframes, ensuring cost certainty and efficient resource utilization for AI-related tasks.
Google has introduced a new set of generative AI product imagery tools for advertisers and merchants in the United States.
In today’s issue:
🤖 Rent Nvidia GPUs for Accelerated AI Projects
🦾 Google’s New AI Tool
🛠️ 3 New AI tools
đź’» Custom prompts ChatGPT and DALL-E 3
🤖 3 Quick AI updates
Read time: 3.5 minutes.
LATEST HIGHLIGHTS
Image source: DALL-E 3
To recap: Amazon has launched Amazon Elastic Compute Cloud (EC2) Capacity Blocks for ML, enabling customers to reserve Nvidia H100 Tensor Core GPU instances for specific timeframes, ensuring cost certainty and efficient resource utilization for AI-related tasks. This innovative feature, available in the AWS US East (Ohio) region, offers a dynamic pricing model based on supply and demand, allowing users to adjust their resource needs and budget before making a reservation, akin to booking a hotel room.
The details:
Flexible Reservation System: Amazon EC2 Capacity Blocks for ML allows customers to reserve Nvidia H100 Tensor Core GPU instances in cluster sizes ranging from one to 64, with each instance containing 8 GPUs. Users can book these resources for up to 14 days, choosing their reservation in one-day increments and planning up to eight weeks in advance.
Cost Transparency and Certainty: The feature provides users with upfront information about the job duration, number of GPUs used, and total cost, ensuring that they have complete clarity on the expenses involved. This helps in budgeting and resource allocation, offering a sense of financial security and predictability.
Dynamic Pricing and Resource Optimization: The pricing model for accessing the GPU resources is dynamic, varying based on supply and demand. This not only allows Amazon to maximize the utilization of these in-demand resources but also ensures that users have the flexibility to adjust their resource requirements according to their budget constraints before confirming their reservation. Additionally, the instances automatically shut down when the reserved timeframe ends, optimizing resource usage.
Here is the key takeaway: A flexible and cost-effective solution for businesses requiring access to high-end GPU resources for short-term AI-related tasks, offering a reservation system that ensures cost transparency, resource optimization, and a dynamic pricing model. This feature addresses the increasing demand for Nvidia GPUs, providing a practical alternative to long-term cloud instance rentals and enhancing resource utilization efficiency.
GOOGLE
🦾 Google Unveils Innovative Generative AI Tools for Product Imagery to US Advertisers and Merchants
Image source: Google
In Summary: Google has introduced a new set of generative AI product imagery tools for advertisers and merchants in the United States. Through its AI-powered Product Studio, users can create product images by describing their desired visuals, making it easy to modify backgrounds, improve image quality, and incorporate specific scenes. This tool aims to assist businesses, both large and small, in enhancing their advertising visuals without the need for costly photography sessions, ultimately enabling them to reuse assets for various campaigns. The feature is available to Merchant Center Next users in the U.S. and on the Google and YouTube app on Shopify. Additionally, Google is introducing a "small business" attribute for Google Search and Maps, along with enhanced information in knowledge panels when customers search for merchant names, providing details such as deals, shipping policies, and reviews.
Key points:
Google has launched generative AI product imagery tools for U.S. advertisers and merchants, allowing them to create product images by describing their desired visuals via the AI-powered Product Studio.
These AI tools enable users to modify backgrounds, enhance image quality, and specify scenes, providing a cost-effective way for businesses to improve their advertising visuals without the need for frequent photography sessions.
The feature is available to all Merchant Center Next users in the U.S. and can be accessed through the Google and YouTube app on Shopify.
In addition to the AI imagery tools, Google is introducing a "small business" attribute for Google Search and Maps to highlight businesses that identify as small enterprises. They are also enhancing the information displayed in knowledge panels when customers search for merchant names, offering details like deals, shipping policies, and reviews.
Our thoughts: The introduction of generative AI tools for product imagery by Google represents a significant advancement in simplifying and streamlining visual content creation for advertisers and merchants. It not only offers cost-efficiency but also empowers businesses to maintain a fresh and dynamic online presence, ultimately enhancing their marketing efforts and customer engagement.
TRENDING TECHS
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AI DOJO
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Prompt: "Generate a set of five creative writing prompts that encourage exploring themes of identity and self-discovery."
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Snowflake has introduced Snowflake Cortex, a fully managed service aimed at helping both business analysts and developers work with AI applications on its platform. For analysts, it offers access to AI tools, including Document AI for extracting data from unstructured documents and universal search capabilities. Developers can leverage Snowflake Cortex to build generative AI applications and utilize Snowflake Copilot to convert plain language questions into SQL queries, streamlining data analysis. This initiative aligns with Snowflake's broader strategy of making data stored in its platform more versatile and accessible, although Cortex is currently in a private preview phase with no specified wider release date.
Instagram is reportedly developing an "AI friend" feature that allows users to customize an AI chatbot for conversation. Users can select the chatbot's gender, age, ethnicity, personality, interests, avatar, and name, enabling personalized interactions. However, this move raises concerns about users mistaking AI for human interaction, and experts emphasize the importance of transparency when implementing such AI features. Instagram has not provided official comments on this development, and it remains unclear when or if the feature will be publicly released.
LinkedIn is introducing AI-powered tools to provide personalized content summaries and assist users in writing on its platform. Initially available to Premium users, these tools will enhance content sharing, article digestion, and job-hunting interactions. Powered by OpenAI's Large Language Models and GPT-4, the AI outputs will be tailored to individual users based on their professional profiles and activities on the site, aiming to boost engagement and content creation on LinkedIn. The company's move into AI tools aligns with its efforts to stay relevant and drive growth, especially in the Premium subscription business segment.
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