GPU infrastructure purpose-built for generative media workloads

Deploy video, audio, and avatar generation models on the AI Native Cloud.

Why Dedicated Container Inference with Together AI?

Designed for production workloads that need consistent performance and operational control.

Key capabilities, purpose built for AI natives

From hardware to inference stack, every capability is optimized to get more out of every request.

• Job-level monitoring
  Monitor inference jobs, GPU utilization, queue depth, and latency metrics in real time. Full observability for production debugging.

• Multi-cluster scaling
  Autoscale rapidly to handle 10x traffic surges with zero failures. Keep critical workloads running via priority-based queuing.

• Multi-GPU orchestration
  Deploy video generation models across multiple GPUs with a simplified torchrun interface. No manual subprocess management required.

• Simple, production-ready primitives
  Configure infrastructure and dependencies in pyproject.toml, implement model logic via the Sprocket SDK, and push directly to GPU clusters. Bypass foundational orchestration setup completely.

Powered by leading research

With Dedicated Container Inference, teams benefit from our research pipeline from automatic kernel optimizations to hands-on profiling and tuning for workload-specific performance improvements.

Deployment options

Run models using different deployment options depending on latency needs, traffic patterns, and infrastructure control.

• Serverless Inference
  A fully managed real-time or batch inference API with access to dozens of the most popular AI models.

• Provisioned Throughput
  Reserved token capacity with SLA guarantees. Priced in PTUs, a normalized throughput unit.

• Dedicated Model Inference
  An inference endpoint backed by reserved, isolated compute resources and Together AI inference research.

• Dedicated Container Inference
  Run inference with your own engine and model on fully-managed, scalable infrastructure.

Production-grade security and data privacy

We take security and compliance seriously, with strict data privacy controls to keep your information protected. Your data and models remain fully under your ownership, safeguarded by robust security measures.

Customers running inference in production

• "Together AI’s infrastructure has the capacity to soak up our viral moments without breaking a sweat. During major traffic surges, Dedicated Container Inference scales seamlessly while maintaining performance."
  Terrance Wang
  Founding ML Engineer, Hedra

• "Infrastructure costs can kill an AI company as they scale. Together's Dedicated Container Inference handles unpredictable viral traffic without over-provisioning and unlocked significant speedups that directly improved our unit economics—without sacrificing quality."
  Ledell Wu
  Co-Founder & Chief Research Scientist, Creatify