Priced in the open
Every rate is published per million tokens, right next to the model - "contact us" to learn what you'll pay, no surge, no idle GPU-tax, no per-seat math. You see the number before you turn the key.
$10 in starter credits free when you create an account
Run large scale workloads across connected compute systems with consistent performance and full visibility through TurbOS.

10-50x
cheaper than closed APIs
$10
in free credits to start
Zero
data retention, by default
Customers








Certified applications
Clusters are ideal for research and engineering workloads that require heavy compute resources. TurbOS unifies these systems under one software environment so every node performs the same way, predictable, repeatable, and fully managed.
Become a TurbOS Certified PartnerDeploy On-Prem or Hosted
Bring TurbOS® online in an hour - on-prem or in our hosted private cloud - with a complete, validated software stack ready for real workloads from day one.
Run workloads
Prepare and launch simulations or AI models through TurbOS® Dash in just a few clicks - no manual setup or command-line expertise required.
Smart Resource Allocation Processing
TurbOS® intelligently distributes jobs across CPU and GPU resources, leveraging pre-installed and optimized packages for high-efficiency parallel computing.
Post-Process & AI-Assisted Insight
Visualize results, load analysis tools, or interact with built-in AI models for deeper insight and faster decision-making.
NOT JUST FAST
Every inference provider is fast - throughput and latency are the price of entry. What sets Hoonify apart is everything around the token: a price you can see up front, data that's never retained, and one API that runs the same from your first prototype to your own air-gapped hardware - without changing a line of code.
Every rate is published per million tokens, right next to the model - "contact us" to learn what you'll pay, no surge, no idle GPU-tax, no per-seat math. You see the number before you turn the key.
Nothing is retained after a request and we never train on your prompts. Privacy is the default, not an enterprise upsell.
Start serverless in minutes and, when a workload needs it, run the exact same models and API in private-cloud, on-premises or fully air-gapped. Same car, more isolation - no re-platforming, no second vendor.
CLUSTER ARCHITECTURE
Every TurbOS cluster is organized into four core layers, kept consistent and predictable across all nodes - so teams can focus on results rather than infrastructure.

Cluster Manager
The central brain of the cluster. It handles scheduling, user roles, resource assignment, and system level coordination. This is where TurbOS keeps everything consistent and predictable across all nodes.
Application Layer
A shared, consistent environment with unified compilers, libraries, and frameworks. TurbOS-Certified apps launch instantly, and you can add or tune your own while preserving reliability, control, and performance.
Storage Layer
A shared, high speed file system that gives consistent data access to all nodes. This ensures smooth collaboration and strong I O performance for large workloads.
Compute Nodes
The engines of the cluster. Each node boots from the same verified TurbOS image, which removes configuration drift and ensures stable performance across the entire system.
Built to scale from one system to thousands.
Begin with one node or expand to a very large footprint. TurbOS keeps every system consistent as your cluster grows.
PAY PER TOKEN
The following applications are currently supported and optimized within TurbOS and we continue to add more. If you don’t see your application, let us know!
MONTHLY TOKENS: 100M
MONEY SPENT: $40
MONTHLY TOKENS: 100M
MONEY SPENT: $1600
blended in/out rate · taxes excluded
CERNFLUKA
A Monte Carlo simulation package for particle physics, used to model particle interactions and radiation transport in matter for nuclear and high-energy physics applications.
CFL3D
A NASA-developed CFD solver for simulating viscous flows over complex aerospace configurations, specializing in turbulence modeling and aerodynamic analysis.
GADGET-4
A cosmological simulation code for modeling the evolution of large-scale structure, dark matter dynamics, and galaxy formation in the universe.
GEANT
A fully integrated particle physics Monte Carlo simulation package used for the interaction and transport of particles in matter.
Idea to first call in minutes
Prototype in the workbench, then move the same request into production behind one base URL. No infrastructure stands between you and a working solution.
Iterate at the speed of the problem
Swap models, tune prompts, and re-run against real traffic in the same setup. When the problem shifts - or a better model lands - you adapt in a config change, not a project.
Solve the workloads you'd shelved
The jobs that were too expensive or too sensitive to ship on a closed API - high volume, proprietary data, always-on - become the easy ones. The bottleneck stops being cost or infrastructure and goes back to being your idea.
Outcomes, not overhead
No clusters to stand up, no capacity to forecast, no on-call rotation. Your team spends its hours on the solution, not the plumbing underneath it.
Proof in production
One platform powers every team - start with the model that fits the job, and switch anytime without changing your setup.
Start saving - $10 in credits free-68%
lower inference spend
after moving everyday workloads from a closed API to Hoonify.
We can reduce our initial analyst load by more than 90%. Our future is all the brighter thanks to Hoonify's involvement

Trust & privacy
Zero data retention
Nothing kept after a request completes
Never trained on your data
Your prompts and outputs stay yours
Open weights, no lock-in
Standard API and open models mean you can switch or leave anytime, code intact
Need it fully in-boundary?
Run on-premises or air-gapped with Sovereign AI
BUILT TO NOT FAIL
Hoonify Inference runs on TurbOS - thecompute platform built for national labs, scientific computing, and mission-critical systems. That same operational discipline routes every request you send, so latency stays low and capacity scales under you without a page to your team.
Intelligent request routing and model-weight caching put your call on warm capacity fast - streaming tokens back in milliseconds, not seconds.
GPU scheduling scales from your first request to peak volume automatically. No capacity planning, no reserved instances, no idle spend.
Provisioning, scaling, and on-call are ours, not yours. Your team ships product instead of babysitting a GPU fleet.
Questions, Answered
Still deciding? Talk to our team about your workloads and we will map out the numbers with you.
What is a TurbOS® Cluster?
A TurbOS® Cluster is a multi-node high-performance computing environment managed by a single, consistent TurbOS® software image. Rather than configuring each compute node individually, TurbOS® deploys a shared control plane across all nodes - ensuring every system runs identical software, uses the same scheduler, and produces reproducible results.
Clusters are ideal for research and engineering teams that need to run large-scale simulation, AI, or scientific computing workloads that exceed the capacity of a single workstation. TurbOS® manages the full stack - operating system, Slurm scheduler, drivers, libraries, and monitoring - so teams can focus on results rather than infrastructure.
What workloads are best suited for TurbOS® Clusters?
TurbOS® Clusters are designed for compute-intensive workloads that require parallelism, large memory, or GPU acceleration across multiple nodes. Common workloads include computational fluid dynamics (CFD), structural and materials simulation, molecular dynamics, Monte Carlo particle transport, electromagnetic modeling, and large-scale AI model training and inference.
The platform supports a growing library of TurbOS® Certified applications - including Ansys Fluent, OpenFOAM, LAMMPS, LANL MCNP, GROMACS, and others - that are pre-integrated and ready to run without additional configuration. Teams can also bring their own applications and tune them within the TurbOS® environment.
How does TurbOS® ensure consistent performance across all cluster nodes?
Every node in a TurbOS® Cluster boots from the same verified master image. This eliminates configuration drift - the gradual divergence in software versions, packages, and drivers that occurs when nodes are configured manually over time. Because every node runs identical software, workloads produce consistent, reproducible results regardless of which node they execute on.
TurbOS® is built through a fully automated DevOps process that pulls trusted Linux bases, adds validated packages, and runs continuous tests before delivering a single verified image. Updates are applied uniformly across all nodes, preventing the package mismatches and broken builds common in manually managed clusters.
How does TurbOS® manage job scheduling across a cluster?
TurbOS® uses Slurm as its workload scheduler, configured and managed through the Cluster Manager - the central coordination layer of every TurbOS® deployment. The Cluster Manager handles job queuing, resource assignment, user roles, and system-level coordination across all nodes.
Most HPC engineers work directly in the terminal, and TurbOS® is built for that. All standard Slurm commands - including sbatch, squeue, sinfo, scancel, and srun - work exactly as expected. Nothing is removed or abstracted away. TurbOS® Dash is an additional graphical interface for engineers, researchers, and managers who prefer not to use the terminal, making the platform accessible to a broader team without changing how experienced HPC users work. Jobs are automatically allocated to CPU or GPU nodes based on requirements, ensuring balanced utilization and efficient throughput across the cluster.
How many nodes can a TurbOS® Cluster support?
TurbOS® Clusters are designed to scale from a single node up to very large multi-node footprints. The platform supports both CPU and GPU nodes within the same cluster, allowing teams to start small and expand as workload demands grow - without reconfiguring the software environment or retraining administrators.
Because every node runs from the same TurbOS® image, adding nodes does not introduce configuration complexity. New systems are brought online quickly and automatically join the managed environment with the same settings, scheduler configuration, and application stack as existing nodes.
Can TurbOS® Clusters scale as my workload grows?
Yes. TurbOS® is built to grow with your infrastructure. You can begin with one node and expand to a large cluster without changing the software environment or administrative workflows. Each new node is added to the existing TurbOS® control plane and immediately benefits from the same scheduling, monitoring, and management capabilities as the rest of the cluster.
TurbOS® also supports hybrid deployments, allowing on-premises clusters to be combined with private cloud resources for flexible scaling when workloads spike. This gives teams burst capacity without permanent hardware investment, while maintaining the same consistent TurbOS® environment across both on-prem and cloud nodes.
Can TurbOS® Clusters operate in an air-gapped or secure facility?
Yes. TurbOS® Clusters are fully capable of operating without external network connectivity, making them suitable for classified, export-controlled, and sovereign computing environments. All required components - including the operating system, Slurm scheduler, drivers, libraries, and monitoring tools - are packaged within the deployment image. No internet access, cloud APIs, or external telemetry are required at runtime.
The Cluster Manager, Application Layer, Storage Layer, and Compute Nodes all function within a completely isolated network. Software updates can be delivered via approved physical media and applied within controlled environments according to organizational security policy. TurbOS® has been designed and maintained by engineers with national laboratory experience, and is validated for export-controlled and government-regulated workloads.
Bring TurbOS to your environment
Whether your team runs a small research cluster or a large secure installation, TurbOS provides a consistent environment that is ready for real workloads from day one.
New accounts start with $10 in credits free
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