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Modal vs AT0M

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Modal compared with AT0M
DetailModalAT0M
What it doesThe platform for production AI A private System One Decision AI that runs locally
StageNot given Beta
FoundedNot given Not given
Based inUS Not given
Pricing modelusage-based Not given
PricingStarter plan is free with $30/month compute credits. Team plan is $250/month plus compute. Enterprise plan is custom. Compute is billed per second for CPU, GPU, and memory with no charges for idle time. Not given
Key features
  • Serve LLMs, image, video, and audio models
  • Isolated environments for coding agents and RL rollouts
  • Fine-tune and train models on GPUs
  • Autoscale compute from zero to thousands of GPUs
  • Distributed storage for models and weights
  • Global capacity across 20+ clouds
  • Serverless functions with HTTPS endpoints
  • Out-of-the-box observability and logs
  • Non-autoregressive with no free text generation
  • Multi-question call support in a single forward pass
  • Bounded output within supplied candidate set
  • Calibrated probabilities without temperature fitting
  • Local inference as a Rust binary executable
  • Deterministic inference with reproducible results
  • Support for choice, score, and yes-no decision types
  • CPU, Apple Metal, and CUDA hardware support
  • Trainable on your own decisions locally
What makes it different
  • Custom infrastructure built for AI including container runtime, storage, and scheduler
  • Sub-second container startup times for GPU workloads
  • Pay only by the second with no idle charges
  • Programmatically create millions of concurrent sandboxes
  • Bounded output structurally prevents off-list answers, unlike generative models
  • Calibration by construction without temperature fitting enables direct threshold-based automation
  • Local executable keeps inference in your perimeter with no per-decision API dependency
  • Cost structure based on electricity, not output tokens
  • Deterministic inference with identical results across repeated requests
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)80 no change since last check22 no change since last check
Trust Flow (Majestic)330
Citation Flow (Majestic)533
Referring domains (Majestic)61741

3 details filled in for both companies.

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