clusy.io continuously scans cloud, on-prem, and decentralized GPU markets to dispatch every workload to the cleanest, most cost-efficient venue—without compromising policy guardrails or operational control.
Execution snapshot
AML retraining · Tier-1 bank
Carbon-first + budget guardrails
48TB dataset • 8×A100 • finish <9h • P2P encrypted handoff
Cost delta
-38%
vs. on-demand
CO₂ avoided
-61%
30-day rolling
Time-shift to 02:00 UTC to ride hydropower surplus and preserve USD 40k cap.
Battle-tested, enterprise-grade platform with built-in carbon optimization, verification, and complete workflow control.
Industry playbooks
Six production-ready blueprints covering finance, health, retail, AV, media, and industrial workloads.
Financial services
A major bank trains fraud detection models on 50TB of transaction data. clusy.io automatically routes to CUDOS decentralized GPUs during off-peak hours, reducing training costs by 65% and CO₂ emissions by 58% compared to always-on cloud instances.
Nightly AML + fraud retraining across 50TB of data
Healthcare + life sciences
A hospital network processes 10,000+ medical scans daily. clusy.io routes inference workloads across AWS, GCP, and on-prem TPU pods based on real-time pricing and carbon intensity, maintaining <100ms latency while cutting costs by 42%.
Serve 10k CT scans/day with <90ms latency
Retail + marketplaces
An online retailer updates product recommendations nightly. clusy.io time-shifts batch jobs to run during peak renewable energy windows (3-6 AM local time), achieving 70% lower carbon footprint while meeting SLA requirements.
Nightly catalog refresh in renewable windows
Autonomous systems
An AV company runs millions of driving simulations monthly. clusy.io distributes workloads across cloud GPU clusters and on-prem infrastructure, optimizing for cost during development phases and performance during validation runs.
Millions of Monte Carlo sims every month
Media + streaming
A streaming platform processes 4K video uploads. clusy.io routes encoding jobs to the cheapest available provider (AWS, GCP, or CUDOS) based on current spot pricing, reducing processing costs by 55% while maintaining quality standards.
4K encode backlog cleared before 7 a.m.
Industrial + manufacturing
An industrial manufacturer trains models on IoT sensor data from 500+ production lines. clusy.io schedules training during low-demand periods, leverages carbon credits from renewable energy providers, and helps meet corporate sustainability targets.
Train predictive models for 500+ production lines
An agentic pipeline that transforms natural language requests into optimized compute orchestration across every provider you trust.
Start with plain English, CLI flags, or CI signals—"Fine-tune Llama-2 with 8×H100, under $3/hr, EU data only." The intake agent captures GPUs, datasets, deadlines, compliance rules, and whether to optimize for greenest, cheapest, or fastest turnaround.
Advanced prompts capture per-stage budgets, residency constraints, carbon caps, and preferred inventory you already contract.
LLM supervisors normalize every requirement into a Cluster Intent spec that maps stages, checkpoints, network policy, and evidence requirements. Conflicts are auto-repaired, missing inputs are requested, and every intent is signed-off against your policy pack.
Validated intents stay encrypted end-to-end and never rest on clusy.io infrastructure—only your control plane can decrypt them.
The Skyscanner-style broker fans out to cloud, on-prem, and decentralized GPU pools to pull live pricing, queue depth, carbon intensity, and SLA signals. The agent ranks valid clusters against your objective mix: greenest, cheapest, fastest, or weighted combo.
Custom ranking functions allow minimum carbon thresholds, spot-only routing, or contractual prioritization with deterministic fallbacks.
Once you approve an itinerary, clusy.io time-shifts when needed, dispatches over P2P encrypted tunnels, and streams live telemetry back to your stack. If quotes change, the agent automatically rebalances while preserving budgets, carbon caps, and SLAs.
Carbon, cost, and performance ledgers update in real time so finance, sustainability, and infra teams see the exact impact of each run.
Built with practices that distinguish world-class AI operations from the rest.
Automatically schedule workloads when renewable energy is abundant, reducing CO₂ footprint by up to 60%. Track emissions in real time.
Balance cost, performance, and carbon emissions. Choose between cheapest, fastest, greenest, or optimal pathways for every workload.
Get intelligent suggestions for when to run workloads for maximum cost savings and minimal environmental impact with deferred execution.
Workload definitions travel through double-encrypted peer-to-peer tunnels directly between your teams and the clusters. clusy.io never saves or inspects your data.
Join the pilot
Share how you run training or inference today—budgets, latency thresholds, carbon goals, residency rules. We will respond within one business day to schedule a live walkthrough and move your team into the next waitlist cohort.
We only use this information to coordinate onboarding and never share it with external providers.
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