Agents

Astralis layers intelligence through agentic assistants that optimize access, trading, and strategy execution. The agents layer intelligence directly onto the Astralis backbone, enabling users to provision, trade, and optimize compute with minimal overhead.

Lynx — The Scout

Status: Live

Lynx is the first agentic assistant built for Astralis.

• Domain Expertise: GPU workloads, tensor operations, and CUDA optimization.

• Functionality: Guides users in provisioning compute directly in USDT.

• Integrations: Seamlessly connects with zk-proof pipelines, AI inference models, and algorithmic trading workloads.

• Goal: Reduce complexity for developers and enterprises by abstracting technical details of workload configuration.

Lynx makes the Astralis marketplace accessible to teams that require GPU power but want predictable, gas-free provisioning without infrastructure overhead.

Mira — The Meter

Status: Coming Soon

Mira adapts in real time to changing workload requirements.

• Adaptive Scaling: Dynamically scale GPU resources up or down.

• Usage-Based Billing: Pay only for compute consumed — no prepaid inefficiencies.

• Flexibility: Ideal for teams with variable or uncertain requirements.

Outcome: Ensures compute supply matches demand with maximum efficiency.

Vega — The Arbitrageur

Status: Coming Soon

Vega focuses on optimizing GPU utilization across diverse infrastructure.

• Dynamic Allocation: Reallocates workloads between cloud and bare-metal providers.

• Latency Minimization: Selects infrastructure for fastest response times.

• Cost Arbitrage: Uses spot market feeds, containerized workloads, and hypervisor-level scheduling.

Outcome: Continuous optimization delivers the best performance-to-cost ratio.

Rigel — The Strategist

Status: Coming Soon

Rigel integrates trading and strategy design directly into Astralis.

• Custom Strategy Building: Define factor models, statistical arbitrage, or reinforcement learning systems.

• Backtesting: GPU-simulated runs against historical datasets.

• Seamless Deployment: Transition from validation to live execution within Astralis.

Outcome: Closes the loop between infrastructure provisioning and production-grade strategy deployment.