# Hanzo Machines — Hanzo AI > Dedicated AI compute infrastructure optimized for machine learning and high-performance workloads. High-Performance Computing # Hanzo Machines Rent a machine by the hour, metered to your organization. Ask what sizes and regions exist, price a launch before you make it, and see it in the same list as the workers you already own. Get Started View Documentation ### NVIDIA H100 Dedicated GPU instances for AI/ML training VRAM80GB HBM3 Cores16,896 CUDA Tensor Cores528 TCs ### AMD EPYC 7763 High-core count CPU instances Cores64 Cores Threads128 Threads MemoryUp to 2TB ### Storage Options Ultra-fast NVMe and persistent storage Local NVMeUp to 8TB Network StorageUnlimited I/O Performance7GB/s ## How renting one works Every step is an API call, so anything you do once by hand you can put in a script afterwards ### Ask what exists The sizes and regions you can launch into are an endpoint, not a page in the docs. Read them, then pick one — nothing to keep in sync by hand. ### Price it before you buy it A launch with dryRun returns the price and creates nothing. The same call without it creates the machine, so what you were quoted is what you asked for. ### Metered to the organization Time is debited from your org's prepaid balance while a machine is up. Before it launches, the cloud says whether you may — and what is missing if you may not. ### One list, whoever owns them Rented machines, the droplets and cluster workers behind them, and your own hardware that dialed in with hanzo link all appear as one fleet, deduplicated. ### A row per accelerator The GPU view counts real cards: from the size of the nodes you rented, and from what your own workers report through nvidia-smi. Where there is no inventory, it returns nothing rather than inventing something. ### A machine can carry an agent Bind a cloud agent to a machine and the pair is one thing to launch, message, stop and tear down. Unbinding is separate, so the agent can move without the machine going with it. ## When you want a whole machine Reach for one when the work outlasts a request, or needs a card of its own ### Training runs A job that needs cards for hours and nothing for the rest of the week. - •GPU sizes named from the list the API returns - •GPU-hours metered while the job runs - •Cancel and the hours used so far are billed, then the job stops ### Serving a model A machine that stays up because something is calling it. - •Run Hanzo Engine on a card you rented - •Terminate it when the traffic goes away - •The bill follows the machine, not a reservation ### Work that will not fit in a request Renders, batches and simulations that take longer than an HTTP call. - •A queue per GPU, plus a shared any-GPU lane - •Each item says which node claimed it - •Read the queue instead of guessing where a job went ### Agents that need a computer An agent with a machine under it, launched and torn down as one thing. - •Bind a cloud agent to a machine - •Message it, or stop it, by name - •Tearing down the pair unbinds the agent first ## Whose machine it is Ownership, region and account are decisions the API makes you state ### Scoped to your organization A machine belongs to one org and is named within it. Every read and every terminate is checked against the org on your token, not against the id in the URL. ### Bring your own account Link a DigitalOcean, AWS or GCP account and the clusters it holds fold into the same fleet. Your capacity, your contract, one place to see it. ### Pick the region deliberately Launches name a region from the list the API returns, so where a workload runs is a decision you made rather than one that was made for you. ## Launch one, or attach one you own Rent by the hour from the console or the CLI, or run hanzo link on a machine you already have and it joins the same fleet. Sign Up Free Contact Sales ## Get started with Machines [Read the docs](https://docs.hanzo.ai/docs/machines)[View on GitHub](https://github.com/hanzoai) ## Open source License: Apache-2.0[hanzoai](https://github.com/hanzoai) ## Get Machines Long-running compute machines [Deploy to Cloud](https://console.hanzo.ai/deploy)[Self-host](https://docs.hanzo.ai/docs/machines)