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Compute with HivenetHivenet Compute gives you on-demand RTX 5090 and RTX Pro 6000 GPUs, plus vCPU instances, billed per second while they run. Hivenet owns and operates the infrastructure, with data centres in France, the UAE and the US, so EU teams can keep workloads and data in Europe. Use it for training and fine-tuning, inference, notebooks, rendering and batch jobs. Launch from ready-made templates in a few minutes, or automate everything through the public Compute API. If you'd rather not run the serving layer yourself, the Inference API gives you an OpenAI-compatible endpoint. Teams get organisations with role-based access, prepaid credits, and S3-compatible object storage alongside compute.
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What is Macyou?
Macyou specializes in providing Apple Silicon Macs that are tailor-made for artificial intelligence applications. Customers can pick from an array of options, including the M4 Mac mini and the M3 Ultra Mac Studio, both of which can be configured with up to 256 GB of unified memory. They also have the ability to choose from various pre-configured software stacks, featuring local LLMs via Ollama such as Llama, Qwen, Mistral, and DeepSeek, in addition to agent frameworks like CrewAI and LangGraph, as well as machine learning environments like MLX and Jupyter, allowing users to achieve a fully operational setup in around five minutes. Each deployment is supported by an OpenAI-compatible API, making it simple for users to adapt their existing OpenAI SDK code with just a change to the base_url; customers also enjoy SSH access with root privileges and a remote desktop that can be accessed through a web browser. Every client is assigned a dedicated physical machine that incorporates full-disk encryption and guarantees that data is thoroughly erased between users, with the service being hosted in a GDPR-compliant jurisdiction. The pricing structure involves a fixed monthly fee per machine, eliminating any costs associated with token usage, and features Thunderbolt 5 clustering for enhanced memory pooling across multiple nodes, effectively accommodating larger models. Additionally, the service publishes detailed inference benchmarks in a raw JSON format under CC BY 4.0 licensing, offering transparency about the performance metrics in tokens processed per second for each chip. This well-rounded methodology not only elevates the user experience but also guarantees exceptional performance for demanding AI tasks, making it an ideal choice for developers and researchers alike.
What is Llama Stack?
The Llama Stack represents a cutting-edge modular framework designed to ease the development of applications that leverage Meta's Llama language models. It incorporates a client-server architecture with flexible configurations, allowing developers to integrate diverse providers for crucial elements such as inference, memory, agents, telemetry, and evaluations. This framework includes pre-configured distributions that are fine-tuned for various deployment scenarios, ensuring seamless transitions from local environments to full-scale production. Developers can interact with the Llama Stack server using client SDKs that are compatible with multiple programming languages, such as Python, Node.js, Swift, and Kotlin. Furthermore, thorough documentation and example applications are provided to assist users in efficiently building and launching their Llama-based applications. The integration of these tools and resources is designed to empower developers, enabling them to create resilient and scalable applications with minimal effort. As a result, the Llama Stack stands out as a comprehensive solution for modern application development.
Media
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Integrations Supported
Additional information not provided
Integrations Supported
Additional information not provided
API Availability
API Availability
Pricing Information
$79/month
Pricing Information
Free
Open source
Free Version
Supported Platforms
SaaS
Supported Platforms
Windows
Mac
On-Prem
Customer Service / Support
Web-Based Support
Customer Service / Support
Not specified
Training Options
Documentation Hub
Training Options
Documentation Hub
Company Facts
Organization Name
Macyou LLC
Date Founded
2026
Company Location
Georgia
Company Website
macyou.co
Company Facts
Organization Name
Meta
Date Founded
2004
Company Location
United States
Company Website
github.com/meta-llama/llama-stack
Categories and Features
AI Inference
Not specified
Categories and Features
AI Development
Not specified