AI & Machine Learning Workloads
The Agentic API uploads data and scripts to your GPU machines. Smart Automation orchestrates the full pipeline end-to-end. Training jobs fan out in parallel, results are collected automatically, and every subsequent scheduled run costs zero AI tokens.
The Pattern
Agentic API for Reach. Smart Automation for Intelligence.
AI and ML workloads need two things that are rarely solved together: the ability to reach GPU hardware wherever it lives, and the intelligence to orchestrate complex multi-step pipelines without constant human intervention. The Agentic API handles the first — secure, scoped access to any registered GPU machine. Smart Automation handles the second — AI-written orchestration logic that runs on a schedule at near-zero cost.
Agentic API — The Reach Layer
Uploads training data and scripts to GPU machines, executes training commands, and retrieves results — all via authenticated HTTPS. No SSH, no VPN, no open ports.
Smart Automation — The Orchestration Layer
Writes the pipeline logic once using Gemini Pro. Subsequent scheduled runs cost zero AI tokens — pure local execution that fans out, collects, validates, and alerts.
Core Scenarios
From Distributed Training to Private LLM Inference.
Distributed Model Training
Single machine: Upload training dataset and script via Agentic API. Smart Automation triggers execution, polls for completion, downloads the checkpoint, and archives it.
Parallel sweep: Smart Automation fans out different configurations (learning rate, batch size) across multiple GPU machines via Agentic API simultaneously. Results are collected and ranked automatically into a comparison CSV.
Continuous training: Nightly — pull new labeled data, upload to the training machine via Agentic API, fine-tune the checkpoint, replace the production model file if validation accuracy improves.
LLM Inference on Private Hardware
Cost avoidance: Route inference requests to a local machine running Ollama or vLLM via Agentic API instead of paying cloud token costs. Smart Automation handles prompt templating, result retrieval, and downstream storage.
Private data compliance: For sensitive data (legal, medical, financial), Smart Automation sends documents to an on-prem LLM server via Agentic API — data never leaves your infrastructure.
Multi-model routing: Smart Automation decides which model to call based on task type, distributing load across multiple inference machines via Agentic API.
Hyperparameter & Experiment Management
Upload experiment configs (YAML/JSON) to compute nodes via Agentic API. Smart Automation triggers parallel runs and waits for results.json output files. Automatically aggregates metrics, identifies the best-performing run, and sends a Slack digest. Failed runs are detected via exit codes; Smart Automation retries with adjusted parameters.
More Scenarios
Data Preprocessing, Model Serving, and Vector Embedding.
Data Preprocessing at Scale
Raw datasets too large for local machines are uploaded to a high-RAM server via Agentic API. Smart Automation executes Pandas/Polars/Spark preprocessing scripts remotely. Processed feature matrices are downloaded back and fed into downstream training pipelines.
ML Model Serving & Health Monitoring
Smart Automation pings inference endpoints on a schedule and checks response latency. If latency exceeds threshold, Agentic API restarts the serving process. Weekly: a drift evaluation script runs on the serving machine; the report is downloaded and archived.
Vector Embedding Generation
Upload text corpora to a machine with a local embedding model via Agentic API. Smart Automation runs the embedding generation script at zero token cost after setup. Output .npy or .parquet files are transferred back for indexing in a vector database.
Model Deployment Pipeline
Smart Automation stages new model artifacts to a staging machine via Agentic API, runs smoke tests, and on success promotes to the production inference endpoint. Rollback is pre-staged if health checks fail post-deploy.
Token Economics
Pay Once to Write the Logic. Run Forever at Near-Zero Cost.
All execution phases after the initial script generation run at zero AI token cost. The writing phase (Gemini Pro) happens once. Hundreds of subsequent scheduled training runs, sweeps, and monitoring jobs consume only local CPU/GPU cycles — not LLM tokens.
Writing Phase
Gemini Pro generates the full orchestration pipeline once — training trigger, result collection, ranking logic, alerts.
Execution Phase
Every subsequent scheduled run is pure local execution via the Agentic API. Zero tokens consumed per training job, per sweep, per monitoring cycle.
Optional Summaries
Gemini Flash Lite generates weekly experiment digests and anomaly summaries at fractional token cost — only when you want them.
Use Cases
More Use Cases
← Previous
Creative, Media & Content Production
Distributed video rendering, overnight AI image generation, automated podcast production — Smart Automation fans work out to rendering machines via Agentic API and assembles the final output automatically.
Next →
DevOps & Infrastructure Management
Fleet-wide patching, health monitoring, and CI/CD on private runners — all driven by runbooks defined once in Smart Automation and executed across every registered device via Agentic API.
Products
Explore What awaBerry Offers
Products
awaBerry Anywhere
awaBerry Anywhere is a zero-trust remote access platform that gets any device — cloud server, laptop, or SoC hardware — securely accessible from anywhere in minutes. No VPNs, no open inbound ports, no complex configuration or additional remote connection software. Works on any MAC - yes even an old Apple macbook from 2012. Works on any Ubuntu / Debian / Redhad based LINUX. Works on any Windows which supports the Windows Subsystem for Linux (WSL).
Connect Devices
Flexible onboarding for any hardware — in any environment.
#Linux
#macOS
#Server
#Docker containers
#SoC devices
#True Headless Device Installation
#Windows
#Bespoke OS installation
#Shared device access
Read more →
Secure Remote Access
Full control and activation via the awaBerry web dashboard.
#Web SSH
#Anywhere Shell
#Zero-Trust Port Forwarding
#No VPN
#Remote Desktop (VNC/RDP)
#Securely Connect To Any Port
#NoOpenFirewallPorts
#Web-based file transfer
#Zero-Trust
#Web-to-local
Read more →
Products
awaBerry Device Automation
awaBerry Automation is the combination of two tightly integrated products that together form a complete, AI-native automation platform.
#Local Execution
#Gemini CLI
#Gemini CLI GUI
#Zero Token Cost
#Agentic API
#AI-Powered Automation
#Encrypted Tunnels
#Device Fleet
#Plain English
#Scheduled Tasks
#Device-access-as-a-Service
Smart Automation Framework
Uses the Google Gemini CLI to translate plain-English instructions into executable scripts — run on your local devices on a schedule. AI tokens are spent exactly once to generate the logic; every subsequent execution costs nothing.
Read more →The Agentic API — Secure, programmatic device access
Secure, zero-trust device access as-a-service. Exposes your registered devices to programmatic access via encrypted tunnels — grant AI agents, scripts, or collaborators precisely scoped access.
Read more →The Power of Combination — Intelligence meets reach
Fundamentally different: a complete, AI-native automation platform — across every device you own, anywhere in the world.
Read more →Plans
Start for Free. Scale as You Grow.
Business
Automate operations, manage fleets, and enable secure remote work for your entire team.
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Private
Access your home devices, automate personal tasks, and share access with family — for free.
Freemium Plan Available
Research
Access lab hardware, automate data collection, and collaborate across institutions.
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Build your autonomous ML infrastructure
Agentic API for reach. Smart Automation for orchestration. Together, they close the loop.
