The startup provides cloud-based graphics processing services tailored for artificial intelligence research, visual effects production, and data science. By offering scalable computing power for launching AI instances and machine-learning models, it enables organizations to fully utilize their graphics processing capabilities for complex analyses.
Funding
$22M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Organizations often face challenges in accessing sufficient and scalable GPU resources for demanding tasks such as AI model training, visual effects rendering, and large-scale data analysis. Traditional on-premise infrastructure requires significant upfront investment and ongoing maintenance, while also lacking the flexibility to adapt to fluctuating computational needs.
Solution
Massed Compute provides on-demand and bare metal cloud computing solutions featuring a comprehensive catalog of enterprise-grade NVIDIA GPUs. The platform allows users to rent GPU and CPU compute power by the hour, eliminating long-term commitments and bandwidth overcharges. Massed Compute owns and operates its infrastructure, providing direct access to compute resources and enabling rapid issue resolution, optimized performance, and enhanced security. The platform offers a user-friendly API and virtual desktop interface for launching preconfigured applications and accessing a library of large language models (LLMs) without requiring command-line knowledge.
Target Audience
The primary target audience includes AI/ML researchers, VFX studios, data scientists, and other professionals who require scalable GPU resources for compute-intensive tasks.
Features
- On-demand access to a wide range of NVIDIA GPUs, including H100, A100, L40S, and RTX A6000
- Bare metal server options for maximum performance, security, and control without virtualization layers
- Inventory API for seamless integration of NVIDIA GPUs into existing business platforms
- Tier III data centers with redundant power, cooling, and network connectivity for consistent uptime
- Pre-configured instances with the latest NVIDIA drivers and CUDA versions for compatibility with major frameworks
- Virtual Desktop Interface (VDI) for one-click access to GPU and CPU compute power
- Direct support from IT professionals with expertise in inference optimization and NVIDIA drivers