Ultimate Optimisation d'Infrastructure Solutions for Everyone

Discover all-in-one Optimisation d'Infrastructure tools that adapt to your needs. Reach new heights of productivity with ease.

Optimisation d'Infrastructure

  • Access high-performance GPU and CPU compute power for AI, data analysis, and more.
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    What is massedcompute.com?
    Massed Compute delivers top-tier GPU and CPU compute power for all your applications, whether you need it for AI training, VFX rendering, data analytics, or scientific simulations. By eliminating the middleman and operating all infrastructure in-house, Massed Compute ensures optimized performance, enhanced security, and unparalleled reliability. Their flexible and affordable plans allow for on-demand access to powerful compute resources, alongside direct support from hardware and software experts.
    massedcompute.com Core Features
    • On-demand GPU and CPU power
    • Direct access to physical servers
    • Inventory API for seamless integration
    • On-demand pricing and scalability
    • Expert support
    massedcompute.com Pro & Cons

    The Cons

    No mention or indication of open-source software or community projects.
    Primarily focused on infrastructure, not providing pre-built AI models or AI agents.
    No mobile applications or browser extensions available.

    The Pros

    Access to high-performance NVIDIA GPUs and CPUs ideal for AI and machine learning workloads.
    Flexible, on-demand pricing model with no long-term commitments.
    Direct access to bare metal servers for maximum performance and control.
    User-friendly API and virtual desktop interface for easy deployment and management.
    Expert IT support with deep knowledge in GPU optimization and AI workloads.
    High reliability with future-proof Tier III data centers and SOC 2 Type II compliance.
    massedcompute.com Pricing
    Has free planNo
    Free trial details
    Pricing modelPay-as-you-go
    Is credit card requiredNo
    Has lifetime planNo
    Billing frequencyHourly

    Details of Pricing Plan

    H100 SXM5

    • 80 GB VRAM

    H100 NVL

    5.06 USD
    • 94 GB VRAM
    • 2 GPU - $5.06/hr

    H100 PCIe

    2.35 USD
    • 80 GB VRAM
    • 1 GPU - $2.35/hr

    DGX A100

    1.23 USD
    • 80 GB VRAM
    • 1 GPU - $1.23/hr

    A100 SXM4

    1.23 USD
    • 80 GB VRAM
    • 1 GPU - $1.23/hr

    A100 PCIe

    1.2 USD
    • 80 GB VRAM
    • 1 GPU - $1.20/hr

    L40S PCIe

    0.86 USD
    • 48 GB VRAM
    • 1 GPU - $0.86/hr

    L40 PCIe

    0.95 USD
    • 48 GB VRAM
    • 1 GPU - $0.95/hr

    RTX 6000 ADA

    0.75 USD
    • 48 GB VRAM
    • 1 GPU - $0.75/hr

    RTX A6000

    0.54 USD
    • 48 GB VRAM
    • 1 GPU - $0.54/hr

    A40

    0.51 USD
    • 48 GB VRAM
    • 1 GPU - $0.51/hr

    RTX A5000

    0.41 USD
    • 24 GB VRAM
    • 1 GPU - $0.41/hr

    A30

    0.25 USD
    • 24 GB VRAM
    • 1 GPU - $0.25/hr
    For the latest prices, please visit: https://massedcompute.com/home-old/pricing/
  • AI-driven Kubernetes management for seamless cloud deployments.
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    What is Milk Infrastructure?
    Milk Infrastructure is an AI-powered system that automates the deployment, management, and scaling of production-grade Kubernetes clusters across any cloud environment. With intuitive solutions, it eliminates the need for human involvement in DevOps processes, streamlining infrastructure management. This platform not only simplifies operations but also enhances scalability, allowing developers to easily adapt and grow their applications in dynamic cloud settings. By using Milk Infrastructure, companies can achieve efficient resource usage and minimize operational overhead, ensuring high performance and reliability.
  • Astro Agents is an open-source framework enabling developers to build AI-powered agents with customizable tools, memory, and reasoning.
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    What is Astro Agents?
    Astro Agents provides a modular architecture for building AI agents in JavaScript and TypeScript. Developers can register custom tools for data lookup, integrate memory stores to preserve conversational context, and orchestrate multi-step reasoning workflows. It supports multiple LLM providers such as OpenAI and Hugging Face, and can be deployed as static sites or serverless functions. With built-in observability and extensible plugins, teams can prototype, test, and scale AI-driven assistants without heavy infrastructure overhead.
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