Research

Pulsar

Our language model technology. Pulsar is Orbit AI’s LLM research and development initiative.

View Research Pulsar V1

Model architecture (conceptual)

The diagram below is an abstract representation of research areas — not a published model card or production architecture claim.

Tokenization Transformer Inference Training & Fine-tuning Distributed training · GPU acceleration · Model serving

Foundation Models

Research

Exploring core language model capabilities for Orbit systems.

Training Infrastructure

Prototype

Experimentation systems for training runs and evaluation harnesses.

Inference

Research

Runtime efficiency, serving patterns, and reliability research.

Developer APIs

Planned

External API access is planned; not a public production API today.

AI Agents

Research

Agent orchestration connected to model and workspace capabilities.

Future Multimodal Systems

Planned

Longer-term multimodal research direction.

Technical focus areas

Each topic below is labeled by current honesty status. No evaluation scores are claimed.

Model architecture

Research into transformer-style architectures and system design for Orbit workloads.

Research

Training

Methods and infrastructure for training experiments.

Prototype

Tokenization

Text representation pipelines for model input.

Research

Inference

Latency, throughput, and reliability considerations for serving.

Research

GPU acceleration

Hardware-aware training and inference experimentation.

Prototype

Distributed training

Multi-node training patterns under exploration.

Planned

Fine-tuning

Adaptation techniques for domain and product needs.

Research

Model serving

Deployment and serving design for future releases.

Planned

Note: In the Orbit workspace, “Pulsar” / “Pro Pulsar” also refers to premium model routing modes. That product feature is separate from this LLM research initiative.