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What is vast.ai?

Vast.ai operates a GPU rental marketplace and cloud computing platform that connects users with on-demand GPU instances across more than 40 data centers. The platform allows developers and AI teams to search, deploy, and manage GPU workloads via a web console, a command-line interface, a Python SDK, and a REST API, with per-second billing and no contracts required.

What specific products or services does the platform offer?

The site hosts pre-configured deployments for popular open-source models and lists supported use cases such as AI text and image generation, fine-tuning, and batch data processing. It also offers GPU Cloud for general compute, Serverless endpoints for model inference, and Clusters with InfiniBand networking for large-scale training.

How does a user get started or book a GPU instance?

Users can start with as little as $5 and grab their API key from the console without needing sales calls. The process involves adding credit, searching GPUs by model, VRAM, price, and availability, and then deploying instances in seconds via CLI, SDK, or API.

What pricing tiers and billing terms are available?

The platform offers three pricing tiers: On-Demand for guaranteed uptime, Interruptible for best value at 50%+ cheaper rates, and Reserved for up to 50% off with long-term commitments. Prices are set by supply and demand across 20,000+ GPUs.

What is the history and founding story behind the company?

The company was founded in 2018 by Jake Cannell and Christian Horne, who incorporated Vast.ai on June 28, 2016, with a thesis that intelligence is fundamentally a function of compute. They aim to keep compute power distributed among independent researchers rather than locked behind hyperscaler walls.

How does the business differentiate itself from competitors according to its own words?

The platform claims to provide the lowest prices for On-Demand GPU among others, achieving 3-5x savings compared to traditional providers like AWS, Azure, or Google Cloud. It also offers enterprise-grade security and expert support for technical challenges.

What technology integrations and tools are available on the platform?

The platform integrates with multiple tools including a web console, command-line interface, Python SDK, and REST API. It also provides a model library with 700K+ transactions per month and supports 68+ GPU types from RTX 3060 to B200.

What do recent feedback or reviews indicate about cost variability?

Some reviewers note that the bill for a fixed job can vary significantly depending on the host used, with one example showing a QLoRA 7B job bill going from $0.19 to $0.81. This highlights the impact of host selection on final costs.

What certifications and compliance standards does the platform adhere to?

The platform is SOC 2 Certified and operates with a focus on API-native provisioning and real-time pricing. It also offers a startup program and case studies for enterprise users.

Where is the business located and what areas does it serve?

The platform is located in Los Angeles, CA, with its address at 1100 Glendon Ave, Suite 1840. It serves a global audience with data centers across more than 40 locations.

How does the platform compare with what other sites or news say?

News articles mention that Vast.ai is often compared with competitors like RunPod and Lambda Labs, with some noting its pricing and server speed advantages. It is also highlighted as a suitable alternative for GPU workloads where interruption tolerance is key.

What is the official website of vast.ai?

The official website of vast.ai is vast.ai.

Does vast.ai have reviews on Trustburn?

vast.ai has no reviews on Trustburn yet. Anyone who has used it can write the first review on its Trustburn page.

Is vast.ai on social media?

vast.ai has official profiles on Linkedin, Youtube.

When was vast.ai founded?

vast.ai was founded in 2018.

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About vast.ai

Vast.ai operates a GPU rental marketplace and cloud computing platform that connects users with on-demand GPU instances across more than 40 data centers. The platform allows developers and AI teams to search, deploy, and manage GPU workloads via a web console, a command-line interface, a Python SDK, and a REST API, with per-second billing and no contracts required. Its offerings include GPU Cloud for general compute, Serverless endpoints for model inference, and Clusters with InfiniBand networking for large-scale training. The site hosts pre-configured deployments for popular open-source models and lists supported use cases such as AI text and image generation, fine-tuning, batch data processing, and graphics rendering.

Website
vast.ai
Address
1100 Glendon Ave, Suite 1840, Los Angeles, CA, 90024, US
Founded
2018