Run NVIDIA NeMo guardrails, synthetic agent benchmarks, and automated safety evaluation pipelines on high-RAM nodes.
Billed yearly at $179.94. $29.99/mo when billed monthly.
Starting plans
This plan covers most first deployments. Move up only when sustained load shows you need more.
Included: SRV-B2C · 2 vCPU · 4 GB · 60 GB NVMe
You can upgrade in place later; your data and IP address stay the same.
Simple monthly prices. Pay yearly and save 50%.
The easy way to get started.
More room for growing projects.
Extra power for busy workloads.
Maximum resources for heavy use.
Optimized virtual servers for running NemoClaw agent pipelines, NVIDIA NeMo Guardrails, conversational agent validation, and automated synthetic evals.
Execute complex NemoClaw research workflows, agentic tool chains, and evaluation pipelines on fast enterprise NVMe Gen4 storage and AMD EPYC multi-core architecture.
Why a server that never sleeps works better.
| NodexVPS server | Local machine | |
|---|---|---|
| Uptime | Runs 24/7, even when your laptop is closed | Stops when you sleep, travel or reboot |
| Network | 10 Gbps port with a static IP | Home connection, often behind NAT |
| Isolation | Separate server, away from your personal files | Shares the machine with everything else you do |
| Webhooks and APIs | Reachable from anywhere for callbacks | Needs tunnels or port forwarding |
| Scaling | Upgrade CPU and memory in place | Limited to the hardware you own |
| Cost | Flat monthly price | Power, wear and your time |
Real feedback from people who use NodexVPS every day.
“We migrated 45 microservices from AWS to NodexVPS Frankfurt nodes. Our monthly cloud bill dropped by 72% while API latency went from 48ms down to 14ms thanks to the dedicated NVMe drives and AMD EPYC silicon.”
“The Terraform provider and sub-30 second provisioning speed made infrastructure automation effortless. No noisy neighbors, true KVM isolation, and zero arbitrary bandwidth throttles.”
“Running low-latency MetaTrader 5 and automated trading bots on Windows Server in London. 99.99% uptime has been rock solid over 9 straight months. Ping to major broker ECNs is under 2ms.”
Fast hardware, fair prices and real support.
Maintain large conversational histories, context buffers, and embedding matrices in RAM.
Execute input/output moderation policies and safety checks with sub-millisecond overhead.
Automate daily regression tests and agent capability evals on dedicated cloud hardware.
Keep your public-facing NemoClaw API endpoints protected against DDoS attacks.
Built for developers, businesses and anyone who needs a reliable server.
Apply NeMo Guardrails input and output policies to agent traffic and review which messages they block or change.
Run regression evals against each new agent build so changes in behaviour are caught before release.
Generate synthetic conversations and benchmark agent pipelines on a server that stays available for long runs.
Offer internal apps a guarded agent API, with moderation policies applied in one place.
Trigger nightly evaluation jobs from CI and store the results so you can compare them over time.
Check that a support or sales agent stays on topic and within policy before it reaches customers.
A few simple checks that save time later.
Conversation histories and embedding matrices sit in memory during evals. Choose a plan with room above that.
Keep keys for the models under test in environment files, and use separate keys for testing and production.
Write datasets, logs and scores to persistent volumes so results survive rebuilds and can be compared later.
Put any public guarded API behind TLS and authentication, and keep eval dashboards private.
Keep guardrail policies and eval definitions in Git, and snapshot the server before major changes.
Track job duration, CPU and memory so slow evals or stalled runs are easy to spot.
Pick the setup that fits your project.
Package NemoClaw, its Python dependencies and guardrail configs in Docker, with results written to a mounted volume.
Install Python 3.11 or later in a virtual environment and run the guarded API or eval runner as a service.
Keep the public guarded endpoint on one server and run heavy eval batches on separate workers.
From a fresh server to a running app.
Log in over SSH and bring the base system up to date.
Install Docker Engine and the Compose plugin from the official script.
Allow SSH and HTTPS only, then turn the firewall on.
Put your compose file in a project folder and start it in the background.
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Hierarchical agent swarms & stateful LangGraph workflows
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Save 50% with yearly billing. No contract, cancel any time.
Quick answers to common questions.
Ubuntu 24.04 with Python 3.11+, PyTorch CPU or CUDA client libraries, and Docker are standard and install in seconds.
boots.
Yes. You can move to a larger plan from the control panel. Your data and IP address stay the same.
No. Plans are billed monthly or yearly with no setup fee, and you can cancel at any time.
Ubuntu, Debian, AlmaLinux, Rocky Linux, CentOS Stream, Arch Linux, openSUSE, RouterOS and Windows Server, or any OS from your own ISO.
Yes. Every server sits behind always-on DDoS filtering at no extra cost.
Find the right server for your project.