Dedicated model deployments
Deploy open-source, custom, fine-tuned, or proprietary models on dedicated inference infrastructure. The pricing page lists pay-as-you-go GPU and CPU instance options billed by the minute.
Baseten
Freemium
Baseten is an inference platform for deploying, serving, and scaling open-source, custom, and fine-tuned AI models in production. It combines model APIs, inference-focused infrastructure, autoscaling, and developer workflows for teams building AI products.
什么是 Baseten？
Baseten is an AI inference platform for deploying, serving, and scaling open-source, custom, and fine-tuned models in production. It provides dedicated deployments, pre-optimized Model APIs, training workflows, and inference infrastructure intended for AI products that need predictable performance and operational scale.
Models can run on Baseten Cloud, in a customer’s VPC, or in a hybrid setup using Baseten Cloud for additional capacity. The platform also includes inference optimizations and developer tooling for workloads such as language models, image generation, transcription, text-to-speech, embeddings, and compound AI.
Baseten 能做什么？
Pre-optimized Model APIs
Access models that Baseten has optimized for production inference through APIs. These APIs are positioned for testing workloads, prototyping products, and evaluating models before or alongside dedicated deployments.
Inference performance tooling
The Baseten Inference Stack includes custom kernels, newer decoding techniques, and advanced caching. The platform also advertises fast cold starts, autoscaling, and high availability across clouds and regions.
Cloud, VPC, and hybrid deployment
Run workloads in fully managed Baseten Cloud, in the customer’s own VPC, or in a hybrid configuration with on-demand capacity from Baseten Cloud. Single-tenant clusters are available for additional workload isolation.
Training-to-deployment workflow
Baseten’s Loops SDK supports training jobs, including frontier reinforcement learning workflows, with a path to deploy trained models to production inference on the same stack.
Specialized generative AI workloads
The platform includes capabilities for image generation and ComfyUI workflows, transcription and speaker diarization, real-time text-to-speech streaming, LLM runtimes, embeddings, and compound AI through Baseten Chains.
使用场景
“Launch an AI product with managed inference”
Product and engineering teams can deploy models to Baseten Cloud, use autoscaling for changing demand, and expose inference through dedicated deployments or Model APIs without building the serving layer from scratch.
“Operate custom or domain-specific models”
Teams developing proprietary, fine-tuned, or custom-built models can use dedicated inference and performance optimizations while keeping model serving separate from the application layer.
“Build real-time voice and media features”
Applications for transcription, speaker diarization, text-to-speech, voice agents, and image generation can use the platform’s workload-specific inference capabilities and streaming support where offered.
“Train and promote models into production”
Model teams can use Baseten training infrastructure and the Loops SDK, then deploy the resulting models to production inference on the same platform.
“Meet enterprise deployment and control requirements”
Organizations that need workload isolation, private-cloud operation, hybrid capacity, data-residency options, or custom operational terms can evaluate Baseten’s enterprise deployment choices.
常见问题
What kinds of models can be deployed on Baseten?
Baseten states that it supports open-source, custom, fine-tuned, and proprietary AI models. Its platform also offers pre-optimized Model APIs for selected models.
Where can Baseten workloads run?
Workloads can run in Baseten Cloud or in a customer’s VPC. Baseten also describes hybrid deployments that combine self-hosted infrastructure with on-demand capacity in Baseten Cloud.
How is Baseten priced?
The Basic offering is listed at $0 per month with pay-as-you-go usage. Dedicated deployments and training use compute priced by the minute, while Model APIs are priced per 1 million tokens. Pro and Enterprise plans use a quote-based model, and volume discounts are available.
Does Baseten support model training as well as inference?
Yes. The site describes on-demand compute and infrastructure for training jobs, and its Loops SDK supports training workflows that can be deployed to production inference on the same stack.
What support is included in the plans?
Basic includes email and in-app chat support. Pro includes dedicated support through Slack and Zoom plus hands-on engineering expertise. Enterprise includes custom terms and enterprise-oriented support options; exact arrangements should be confirmed with Baseten.
快速信息
- Category
- AI inference platform
- Primary users
- AI product, engineering, and model teams
- Deployment options
- Baseten Cloud, customer VPC, or hybrid
- Supported model types
- Open-source, custom, fine-tuned, and proprietary models
- Pricing model
- Pay-as-you-go compute; Model APIs priced per 1 million tokens; Pro and Enterprise by quote
- Source domain
- baseten.co
Baseten 流量分析
流量数据仅供参考。
- 域名评分
- 77
Baseten 替代品
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www.ibm.com
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Together AI
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Together AI 是一个支持推理、微调、GPU 集群、沙盒和托管存储的 AI 云平台。
Bento
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Bento is an inference platform for packaging, deploying, optimizing, and operating AI and machine-learning models at scale. It supports open and custom models across cloud, on-premises, Kubernetes, and bring-your-own-cloud environments.
Prodia
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Prodia is a multi-silicon inference platform focused on video generation. It develops AI model implementations across different hardware to balance cost, output quality, and performance.
DigitalOcean
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ModelArk
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ModelArk is BytePlus's one-stop large language model service platform for organizations building, deploying, and scaling AI applications. It is positioned within BytePlus's broader AI-native cloud portfolio.