Baseten

Deploys models on dedicated GPU instances (T4, L4, A10G, A100, H100, B200) with granular per-minute billing down to the minute. Infrastructure automatically provisions and tears down compute resources based on deployment lifecycle, with pricing ranging from $0.01/min for T4 to $0.17/min for B200. Supports both single-model and multi-GPU configurations with transparent pricing visibility per hardware tier.

Provisions CPU-only instances ranging from 1vCPU/2GB RAM ($0.00058/min) to 16vCPU/64GB RAM ($0.01382/min) for models that don't require GPU acceleration. Uses standard cloud compute instances with per-minute billing, enabling cost-effective serving of lightweight models, embeddings, or CPU-optimized inference workloads without GPU overhead.

Aggregates multiple LLM providers (DeepSeek, Kimi, NVIDIA Nemotron, GLM) under a single Baseten API interface, enabling developers to switch between models without changing application code. Provides unified authentication, request/response formatting, and error handling across providers. Simplifies provider evaluation and migration by standardizing API contracts.

Provides SOC 2 Type II and HIPAA compliance certifications across all tiers (Basic and above), enabling deployment of healthcare and regulated workloads. Enterprise tier adds advanced security features including custom RBAC with Teams, enhanced data protection, and compliance controls. Certifications enable organizations to meet regulatory requirements without additional security infrastructure.

Provides hands-on engineering support from Baseten's team for production optimization, model tuning, and deployment best practices. Available on Pro and Enterprise tiers, enabling organizations to leverage Baseten expertise for rapid prototyping and production hardening. Support includes model optimization, performance tuning, and architecture guidance.

Guarantees 99.99% uptime for deployed inference endpoints across all tiers (Basic and above), with global capacity distribution enabling low-latency serving across regions. Infrastructure is designed for high availability with automatic failover and redundancy. Enterprise tier enables custom global regions and full data residency control for compliance-sensitive workloads.

Hosts a curated library of pre-optimized model APIs (DeepSeek V4, Kimi K2.6, NVIDIA Nemotron, GLM 5, Whisper Large V3, ComfyUI workflows) available for instant testing and production use with per-token pricing. Models are pre-deployed and optimized with custom kernels and advanced decoding techniques, eliminating deployment complexity. Pricing varies by model (e.g., DeepSeek V4: $1.74/1M input tokens, $3.48/1M output tokens) with KV cache optimization for cached input tokens ($0.145/1M).

Open-source model packaging framework that standardizes model deployment across Baseten and other platforms. Truss wraps models with dependencies, inference logic, and configuration in a portable container format, enabling one-command deployment to Baseten infrastructure. Abstracts away Docker/Kubernetes complexity while maintaining full control over model serving code, dependencies, and resource requirements.

Automatically scales inference endpoints based on request volume, provisioning additional GPU/CPU instances to handle traffic spikes without manual intervention. Pro tier enables 'unlimited autoscaling' with no documented concurrency limits or scaling policies. Scaling mechanism abstracts infrastructure management, allowing developers to focus on model optimization rather than capacity planning.

Manages multiple versions of deployed models with production-ready versioning controls, enabling safe rollouts, rollbacks, and A/B testing. Supports deploying different model versions simultaneously and routing traffic between them. Integrates with monitoring to track performance per version, facilitating gradual rollouts and quick rollback on degradation.

Provides built-in monitoring and observability for inference endpoints, tracking performance metrics, latency, error rates, and usage patterns. Integrates with deployment versioning to enable per-version performance comparison. Monitoring is included in all tiers (Basic and above) with advanced observability features available in Enterprise tier.

Integrates training and inference workflows, enabling models trained on Baseten to be deployed as inference endpoints with a single click. Eliminates manual model export, packaging, and deployment steps by maintaining model continuity from training to production. Supports deploying trained models directly to GPU inference infrastructure without intermediate steps.

Supports deploying models on customer-controlled infrastructure (self-hosted) or hybrid configurations combining self-hosted deployments with on-demand flex capacity on Baseten Cloud. Enables data residency control, compliance requirements, and reduced vendor lock-in. Enterprise tier includes full self-hosted support with custom global regions and data residency guarantees.

Supports deploying ComfyUI workflows as production inference endpoints, enabling complex image generation pipelines with multiple model stages (e.g., LoRA loading, upscaling, inpainting). Abstracts ComfyUI complexity by packaging workflows as Baseten endpoints with standard API interface. Enables non-technical users to deploy sophisticated image generation without writing custom inference code.