Arkane Cloud provides an enterprise‑grade platform that offers on‑demand access to NVIDIA GPU instances and a catalog of pre‑trained generative AI models through simple REST API calls. The service automatically scales compute resources to deliver sub‑second inference latency and per‑request pricing while managing networking, storage, and security, allowing developers to focus on model integration and application logic.
Funding
Funding not disclosed
Founders
Product
Problem
Deploying and managing GPU infrastructure for generative AI workloads requires specialized hardware, complex networking, and ongoing maintenance, which drives up costs and delays product releases. Teams must also provision and tune large language models manually, adding further engineering overhead.
Solution
Arkane Cloud delivers an enterprise‑grade platform that provides on‑demand access to optimized NVIDIA GPU instances and a catalog of more than 15 pre‑trained generative AI models via simple REST API calls. The service automatically scales compute resources to match request volume, offering sub‑second inference latency and transparent per‑request pricing. Users can launch GPU clusters for training or inference in seconds, while the platform handles networking, storage, and security, allowing developers to focus on model integration and application logic.
Target Audience
AI developers, data‑science teams, and enterprise engineering groups building generative‑AI applications, as well as research labs that need scalable GPU compute for model training and inference.
Features
- Instant provisioning of NVIDIA GPUs (B300, B200, H200, H100, A100, L40S) with flexible hourly billing and reserved‑capacity discounts.
- API endpoints for 15+ production‑ready models (e.g., Llama 3.1, DeepSeek, Qwen, Flux) that require no local deployment.
- Serverless inference with automatic horizontal scaling and sub‑second response times.
- Integrated monitoring dashboards showing utilization, latency, and cost metrics in real time.
- End‑to‑end encryption and role‑based access controls for secure data handling.
- Support for both inference and training workloads, including managed Kubernetes or Slurm clusters for private GPU farms.
- CLI tools and an interactive playground for rapid testing and iteration.
- Comprehensive documentation and SDKs for easy integration into CI/CD pipelines.