Best AI Hosting & Inference Tools
Find and compare the best ai hosting & inference tools by pricing, features, integrations, and alternatives.
.wave
Run continuous inference for real-time voice and streaming speech models
AI Infrastructure For Developers • Beam
Run sandboxes, inference, and training with ultrafast boot times, instant autoscaling, and a developer experience that just works.
Baseten
Deploy and serve custom machine learning models with dedicated cloud infrastructure
Cerebras
Run high-speed artificial intelligence model inference and training on wafer-scale chips
Cerebrium
Deploy and scale machine learning models on serverless GPUs with pay-per-second pricing
Clockwork Systems, Inc.
Keep distributed machine learning workloads running through GPU and network hardware failures
CloudRift
Manage and virtualize private GPU clusters for enterprise model training and inference
CUDOS
Rent distributed cloud compute and GPU hardware for artificial intelligence and rendering workloads
Cumulus
Schedule GPU workloads, serve AI models, and run agents across devices
DeepSquare
Access decentralized high-performance computing power to run containers, AI models, and 3D rendering jobs
Eigen Labs
Build verifiable infrastructure and incentive protocols to coordinate human and autonomous agent interactions
fal.ai
Run, deploy, and scale generative media models on serverless GPUs using fast APIs
Featherless
Host any open-source language model through one API endpoint.
Groq
Run open-source language models and machine learning inference at high speeds
Hydra Host
Rent dedicated bare metal GPU servers for artificial intelligence training and inference
Inferact
Deploy and serve large language models at scale across diverse hardware accelerators
inference.net
Deploy, monitor, and fine-tune open-source machine learning models in production
Isoquant
Run open large language models with fast inference speeds and low latency using APIs
Lambda
Rent cloud GPUs and supercomputers for training and running machine learning models
Livepeer
Run decentralized artificial intelligence video generation and media inference workloads across distributed GPUs
machine0
Deploy persistent virtual machines configured for autonomous agents and heavy compute workloads
Modal
Run serverless AI model training, inference, and batch jobs on cloud GPUs
Modular
Run machine learning model inference across diverse hardware architectures and cloud environments
Munito
Run open-source language models through a private European API infrastructure
NEAR AI Cloud
Deploy and run private, verifiable artificial intelligence models on decentralized infrastructure
Nebius
Deploy high-performance GPU clusters for training and running machine learning models
Nexthop AI
Build high-speed data center network switches for large cloud operators running machine learning clusters
Nodus
Run machine learning training jobs and AI agent workloads on cloud GPUs
Novita AI
Access hundreds of open-source artificial intelligence models through serverless APIs and GPU instances
Nscale
Provision dedicated GPU compute clusters and managed infrastructure for machine learning workloads
Ollama
Run open large language models locally on your machine or in the cloud
OneTriangle
Cut large language model inference costs by transferring KV cache across models
OpenInfer
Orchestrate, schedule, and run machine learning inference workloads across diverse hardware environments
OpenRelay
Rent dedicated GPU virtual machines and run model inference through an API
Overclock Labs, creators of Akash Network
Deploy Docker containers and run AI models on a decentralized computing network
Parasma
Train living human brain cells to perform token prediction and reinforcement learning tasks
Penguin Solutions
Design, build, and deploy high-performance computing clusters
Phala Network
Deploy private language models and autonomous agents inside confidential hardware enclaves
Pipeshift (YC S24)
Deploy and run open-source AI models on dedicated GPU infrastructure with custom latency SLAs
Piris Labs
Connect AI compute and memory using optical networking hardware and execution
Qubrid AI
Deploy on-demand cloud GPUs and run open-source AI models via an API
Relace
Run high-throughput open-weight models at low cost through a dedicated inference API
Relace AI
Run fast and affordable open-source language model inference using an API
Replicate
Run and deploy machine learning models with APIs
RunAnywhere
Deploy open-source language models across hosted infrastructure and local hardware
Runpod
Deploy and scale machine learning models on cloud GPUs
Runware
Run fast and low-cost generative AI models through a unified API
Salad
Run containerized AI workloads and model inference across a global network of distributed GPUs
SambaNova
Run large language models and artificial intelligence agents on custom dataflow hardware chips
Saturn Cloud
Turn your GPU infrastructure into multi-tenant clusters with built-in metering and billing
Simplismart
Deploy, fine-tune, and scale open-source machine learning models across multiple cloud providers
Sygaldry
Accelerate artificial intelligence model training and inference using quantum hardware servers
Tensorfuse
Deploy, fine-tune, and run serverless machine learning models on your cloud infrastructure
Tensormesh
Deploy machine learning models across distributed GPUs
TensorPool
Deploy multi-node GPU clusters and run machine learning training jobs via CLI
The Essential Cloud for AI
Rent specialized GPU clusters to train and deploy artificial intelligence models
Tinfoil
Run AI models and containers privately inside secure hardware enclaves
Together AI
Run, fine-tune, and deploy open-source models using cloud GPU clusters and serverless APIs
Touchmark
Buy and sell reserved AI model inference capacity through a competitive marketplace
Vagon
Run high-performance applications and 3D from any web browser
Valarian
Run open-weight AI models securely inside your own infrastructure and private cloud networks
Vast.ai
Rent on-demand cloud GPUs to train machine learning models and run AI workloads
Xockets, Inc.
Offload data-intensive computing tasks from cloud server processors to specialized network silicon
XPerf Inc.
Validate hardware racks, prevent cluster downtime, and schedule compute workloads for machine learning
ZETIC
Accelerate AI model inference speeds on robotics hardware and edge devices
ZibraLabs
Run distributed machine learning compute workloads across multi-cloud CPU and GPU clusters