What types of GPUs are available on Yotta Labs?

Yotta Labs provides access to a wide range of high-performance GPUs, including H100, H200, B200, B300, A100, RTX 4090, RTX A6000, RTX 5090, RTX 6000 Ada, and RTX PRO 6000. These are available for both on-demand and spot instances, catering to various AI training and inference needs.

How does Yotta Labs' pricing compare to other cloud providers?

Yotta Labs claims to offer GPU compute at up to 80% less than AWS, with a transparent pay-as-you-go model. Pricing is based on actual usage for compute, storage, and models, avoiding commitments and unnecessary idle costs. Spot instances are also available for further cost savings.

Can I use Yotta Labs for both AI training and inference?

Yes, Yotta Labs is designed for both AI training and inference workloads. It provides instant-ready GPU pods and launch specs optimized for these tasks, along with features like automatic scaling and persistent storage to support the full lifecycle of AI model development and deployment.

Yotta Labs

Yotta Labs is a DevOps & Infrastructure tool that provides a GPU cloud for AI training and inference. It offers instant access to elastic, production-ready GPUs at competitive prices.

Claim this tool

0views

Visit site

At a glance

Pricing

Paid · Usage-based

Free tier

API

Yes

Skill level

Advanced

About

What is Yotta Labs?

Yotta Labs is an AI-native operating system designed for efficient machine learning orchestration on GPUs. It provides on-demand, elastic GPU compute resources, including H100, H200, B200, and RTX 5090, at significantly lower costs than traditional cloud providers. The platform enables developers to deploy GPU pods in under 3 seconds with ready-to-use environments for AI training and inference, requiring no setup. Key features include automatic scaling of GPU resources, pay-as-you-go pricing, persistent storage, and an AI Gateway for intelligent request routing across multiple model providers. Yotta Labs also offers serverless capabilities for scaling AI applications and quantization tools for model compression, making it suitable for enterprise-grade AI workloads.

Best used for

Ideal for developers who need to quickly deploy GPU environments, train large AI models, and run inference at scale. Especially valuable for teams looking for cost-effective, high-performance GPU access with automatic scaling and enterprise-grade reliability for their AI workloads.

Capabilities

Key features

Instant GPU pod deployment
Automatic GPU scaling
Pay-as-you-go pricing
Persistent storage
AI Gateway
Model quantization
Serverless AI applications

Audience

developer b2b enterprise developers startup

Integrations

Not yet documented

FAQs

Common questions

Trending

Subcategories trending in Coding & Development

Open Source & Models Code Assistants No-Code / Low-Code Backend & APIs Testing & QA Prompt Engineering

Trending

Also listed in

This tool also appears in

AI Agents & Automation › AI Frameworks & Infra

Explore

Browse AI tools by category

Content & Design Productivity & Business Coding & Development AI Agents & Automation Research & Education Wellness & Lifestyle Career Development Marketing & Growth Data & Analytics Customer Support & CX Finance E-commerce