BentoML
Run Inference at Scale
IvaraX Analysis
BentoML provides a comprehensive inference platform that bridges the gap between model development and production deployment, offering both open-source tools and enterprise-managed services. The platform distinguishes itself through flexible deployment options, extensive model framework support, and sophisticated scaling capabilities designed specifically for AI inference workloads.
Key Strengths
- +Extensive model and framework compatibility with unified deployment approach
- +Strong enterprise security and compliance credentials (SOC 2, ISO 27001, HIPAA)
- +Flexible infrastructure options from self-hosted to fully managed cloud
- +Purpose-built scaling and optimization for AI inference workloads
- +Active open-source community with robust documentation and examples
Ideal For
- →Enterprise AI teams needing production-grade model serving with compliance requirements
- →Organizations seeking to self-host AI infrastructure while maintaining operational simplicity
- →Teams deploying LLMs at scale who need performance optimization and cost control
- →Companies wanting flexibility to run custom models alongside popular open-source models
Things to Consider
- !Pricing details require direct consultation, which may slow evaluation for smaller teams
- !Platform's extensive capabilities may have a learning curve for teams new to ML infrastructure
- !Organizations with simpler inference needs may not require the full platform's capabilities
About BentoML
BentoML is an enterprise-grade inference platform designed to help AI teams deploy, manage, and scale machine learning models across any environment. The company offers both an open-source framework and a managed cloud platform, providing organizations with flexibility in how they serve AI models in production. Their platform supports the full inference lifecycle, from prototype to production, enabling teams to work with any model architecture, framework, or modality. The platform emphasizes performance optimization and operational efficiency, offering features such as intelligent auto-scaling, cold-start acceleration, multi-cloud orchestration, and distributed LLM inference capabilities. BentoML serves notable enterprise clients and provides comprehensive deployment automation, observability tools, and fine-grained access controls. Their infrastructure supports both self-hosted deployments (on-premises or bring-your-own-cloud) and their managed BentoCloud service with access to cutting-edge GPU hardware including NVIDIA H100, B200, and AMD MI300X. BentoML maintains enterprise-grade security standards including SOC 2 Type II, ISO 27001, and HIPAA compliance, making it suitable for mission-critical AI deployments. The company also offers forward-deployed engineering support, providing dedicated technical experts for inference optimization and use-case-specific improvements.
Why Choose BentoML
- Deploy any AI model anywhere with unified framework support across vLLM, TRT-LLM, PyTorch, JAX, and more
- Intelligent scaling with inference-specific metrics, blazing fast cold starts, and scale-to-zero capabilities
- Flexible deployment options including self-hosted, on-premises Kubernetes, BYOC, or managed cloud
- Enterprise-grade security with SOC 2 Type II, ISO 27001, and HIPAA compliance
- Pre-optimized open-source model catalog with day-one access to newly released models like Llama 4 and DeepSeek
Services
AI/ML Model InferenceModel Deployment PlatformLLM InferenceCustom Model ServingCloud Infrastructure ManagementMLOps
Technologies
vLLMTRT-LLMJAXSGLangPyTorchTransformersKubernetesNvidia GPUsAMD GPUsH100B200MI300X
Tech Stack(detected from website)
PythonvLLMTensorRT-LLMPyTorchJAXSGLangTransformersKubernetesNVIDIA GPUs (H100, B200)AMD GPUs (MI300X)HuggingFace
Industries Served
Notable Clients
Neurolabs
Categories
Company Info
- Headquarters
- US
