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What is Blacksmith?

Blacksmith is a next-generation CI/CD acceleration platform designed to optimize GitHub Actions workflows with superior speed, efficiency, and cost savings. It serves as a drop-in replacement for GitHub runners, allowing developers to instantly upgrade their CI/CD performance without changing their existing configurations. By leveraging high-performance bare-metal gaming CPUs, NVMe storage, and co-located caching systems, Blacksmith delivers dramatically faster build, test, and deployment processes. The platform supports instant provisioning of microVMs, ensuring jobs start immediately without delays, while unlimited concurrency allows teams to run multiple workflows simultaneously. Blacksmith also enhances observability by providing detailed insights into CI pipelines, helping developers quickly identify slow jobs, debug flaky tests, and resolve issues through real-time logs and search capabilities. Its optimized Docker layer caching and artifact management significantly speed up container builds and reduce redundant processing. In addition to performance improvements, Blacksmith offers substantial cost savings compared to traditional GitHub runners and self-hosted solutions. The platform is trusted by thousands of organizations and processes millions of jobs monthly, demonstrating its reliability and scalability. By reducing build times and improving feedback loops, Blacksmith enables teams to merge code faster and increase deployment frequency. Overall, it empowers developers and engineering teams to streamline CI/CD workflows, enhance productivity, and deliver software at scale with greater efficiency.

What is Axe Compute?

Axe Compute provides a robust bare-metal GPU infrastructure designed specifically for enterprise-level AI and machine learning needs, ensuring widespread global reach, dedicated clusters, and dependable accessibility. In approximately 48 hours, teams can obtain dedicated GPU clusters from a network spanning over 200 locations, enabling them to choose from various regions, GPU types, fabrics, interconnects, and topologies. This solution effectively addresses the frequently underestimated challenges of scaling AI, such as provisioning delays, cloud availability limitations, quota restrictions, rigid economic structures from providers, expenses related to data transfer, and performance issues that arise from virtualization. By offering unadulterated bare-metal access without virtualization overhead or interference from other users, Axe empowers teams to proficiently manage LLM training, inference, diffusion, fine-tuning, enterprise deployment, and a multitude of other AI-driven activities with greater control. Furthermore, its geographically distributed GPU infrastructure guarantees low-latency access that is in close proximity to both users and data, significantly reducing the need to shift data to centralized cloud locations, which in turn optimizes operations for teams engaged in intricate AI projects. This comprehensive approach not only boosts performance but also enhances the overall efficiency of AI workflows, making Axe Compute a valuable partner in the evolution of artificial intelligence.

Media

Media

Integrations Supported

Android
Docker
GitHub
GitHub Actions
Node.js
Rust

Integrations Supported

API Availability

API Availability

Pricing Information

$0.004 per GHz per hour
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Blacksmith.sh

Company Location

United States

Company Website

www.blacksmith.sh/

Company Facts

Organization Name

Axe Compute

Company Location

United States

Company Website

axecompute.com

Categories and Features

DevOps

Not specified

Categories and Features

AI Infrastructure

Not specified

Cloud GPU

Not specified

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