Bond Studios provides Fortress, an on‑premise hardware appliance that delivers high‑performance AI inference and training while keeping all data within the customer's own infrastructure. The rack‑mountable system combines multiple GPUs, pre‑installed AI frameworks, and a web‑based monitoring dashboard, allowing enterprises to scale compute linearly without relying on cloud services.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises that need to run large AI models often must send sensitive data to cloud providers, exposing it to privacy risks and regulatory constraints. Additionally, relying on external compute services can lead to unpredictable costs and limited control over scaling resources.
Solution
Bond Studios offers Fortress, an on‑premise hardware appliance that delivers high‑performance AI inference and training while keeping all data within the customer’s own infrastructure. The system integrates dedicated GPUs, optimized networking, and pre‑installed AI frameworks to provide enterprise‑grade compute without the latency of cloud round‑trips. Customers can provision additional units to match their workload demands, enabling linear scaling that aligns with existing data center capacity and security policies. Fortress is managed through a web interface that monitors performance, health, and resource utilization, allowing IT teams to maintain full oversight and control.
Target Audience
Primary customers are large enterprises, regulated industries, and government agencies that require confidential AI processing and direct control over compute resources.
Features
- Rugged, rack‑mountable hardware equipped with multiple high‑end GPUs for parallel AI workloads
- Pre‑configured AI software stack with support for major frameworks (TensorFlow, PyTorch, ONNX)
- Secure, isolated environment ensuring that all data and model execution remain on‑premise
- Modular design that allows seamless addition of units to increase compute capacity on demand
- Integrated monitoring dashboard for real‑time performance metrics and health alerts
- Compatibility with standard data center networking and power infrastructure