Quali has announced the integration of its Torque orchestration platform with NVIDIA DGX Spark. According to Quali, this integration enables enterprises to securely orchestrate, govern, and scale artificial intelligence workloads across edge, cloud, and data center environments.
The Torque platform brings policy-driven Environment-as-a-Service automation to NVIDIA DGX Spark, supporting unified management for AI model development and deployment. Quali says Torque transforms DGX Spark from a standalone device into a shared and governed AI infrastructure fabric, letting teams manage fine-tuning pipelines, enforce policies, and move workloads seamlessly between local and cloud resources.
For data centers and edge deployments, Quali notes that Torque agents can now run local inference workflows directly on DGX Spark. This operation allows autonomous agents to make real-time decisions without depending on cloud-based application programming interfaces, which is especially important for regulated or disconnected environments such as defense, retail, and healthcare.
Lior Koriat, CEO at Quali, stated, “This integration brings high-powered model development directly to the desktop and field,” adding, “Whether you’re fine-tuning LLMs or running secure, autonomous agents at the edge, Torque ensures that teams can scale fast, stay compliant, and control cost.”
The company claims this approach bridges the gap between experimentation and deployment, providing flexibility for organizations that want to unlock value from AI wherever intelligence is required.
Source: Quali
