Bluesky Compute provides on‑demand, high‑performance AI compute infrastructure, offering inference‑as‑a‑service, virtualized GPU nodes, and bare‑metal servers at competitive rates. Customers can run large models such as Llama 3 70B for as little as $0.90 per million tokens, or rent H200‑based virtual machines at $3.50 per hour, enabling rapid deployment of AI workloads from data services to edge compute. The platform is designed to accelerate AI implementation and deliver results quickly.
Funding
Funding not disclosed
Founders
Product
Problem
Deploying large AI models at scale requires costly hardware, specialized expertise, and complex data‑center operations, which many organizations lack, causing them to fall behind competitors as AI adoption accelerates.
Solution
Bluesky Compute offers a unified AI infrastructure platform that provides on‑demand inference‑as‑a‑service for models such as Llama 3 70B, as well as virtualized GPU nodes and bare‑metal servers. Users can provision high‑performance H200 or B200 GPUs on a pay‑as‑you‑go basis, with pricing transparent per‑hour or per‑million‑token. The service integrates data services, cloud, and edge compute, allowing customers to run AI workloads without building or managing their own hardware. By leveraging Bluesky’s hydro‑electric data centers and expertise in AI optimization, the platform delivers high performance at competitive cost while supporting migration from existing cloud or on‑prem environments.
Target Audience
Target customers are enterprises and developers in sectors such as life sciences, finance, manufacturing, and aerospace that need scalable AI inference or GPU compute without investing in their own data‑center resources.
Features
- Inference‑as‑a‑service with Llama 3 models (up to 405B) priced from $0.06 to $3.50 per million tokens
- Virtualized GPU nodes (H200, B200, H100, A100) available from $3.50 to $6.50 per hour
- Bare‑metal GPU servers with dedicated performance and hourly rates as low as $0.70 for A100
- Integrated data services and AI model/software support for end‑to‑end workflow acceleration
- Compatibility with existing cloud or on‑prem infrastructure, including free ingress and paid egress migration assistance
- Hydro‑electric powered data centers for sustainable, low‑carbon compute