Desk-side AI box
≈ $4–5K
- Great for prototyping
- Too little memory for frontier models at useful context
- One user at a time, in practice
Private AI infrastructure · Early access
Frontier AI, running on hardware you own.
Nexgen Agent builds air-cooled inference systems and the AI agents that run on them. Mid-size teams get large open models working on their own network, with no server room to build, no six-figure rack to buy, and no data sent to someone else's cloud.
- Data stays inside your walls
- Air-cooled, standard office power
- Open-weight models you control
100%of prompts and documents stay on your hardware
0per-token cloud bills. You own the capacity
1vendor for the hardware, the models, and the agents
The problem
The missing middle in AI hardware.
The best open models (DeepSeek V4.1, GLM-5.3 and others like them) are now good enough to run real business work. Running them privately has meant two bad choices: a desk-side box that runs out of memory, or a data-center server built for a factory floor.
Where Nexgen Agent builds
Mid-tier inference system
Right-sized
- Large accelerator memory for big open models and long context
- Air-cooled. Runs in a closet, office rack or edge site
- Serves your whole team, with agents included
Data-center GPU server
$100K+
- Massive throughput
- Specialized power, cooling and procurement
- Wrong purchase for a 20–500 person team
Price bands are typical public list figures for orientation only, not quotes. Nexgen Agent does not resell either category.
The platform
One system. Hardware and agents, built to work together.
Most teams buy GPUs from one vendor, models from another and automation from a third, then spend months making them talk. Nexgen Agent delivers the whole stack under one name, with one point of accountability.
01 · Hardware
The Nexgen inference system
An on-prem appliance built around next-generation data-center inference accelerators. It is sized for the models mid-size teams actually want to run.
- Big-model memory. Hundreds of gigabytes of accelerator memory, so large open models fit with room for long documents.
- Air-cooled, standard power. No liquid loops and no facility upgrade. Fits a normal office rack or tower footprint.
- Ready on arrival. Models are preloaded and served through a standard, OpenAI-compatible API your tools already speak.
- Managed lifecycle. Model updates, monitoring and support from the team that built it.
02 · Software
Nexgen agents
Agents that do real work: they call your tools, wait on people, retry on failure and hand off cleanly. You get finished work, not chat transcripts.
Operations agents
Triage the inbox, update records, chase follow-ups and keep internal tools in sync.
Knowledge agents
Answer from your private docs, policies and systems, with citations and only within the scope you allow.
Automation fabric
Multi-step workflows across your stack, with approvals, audit logs and a person in the loop where it matters.
Architecture
Everything stays inside your perimeter.
Your people and systems talk to agents. Agents talk to models. Models run on your hardware. No step leaves your network.
Your network
People & apps
Email & chat
CRM / ERP
Internal tools
Nexgen agents
Operations
Knowledge
Automation
Inference system
Open frontier modelsOpenAI-compatible API
Your documents & data
Third-party AI cloud: not in the path
Why on-prem
Own your AI the way you own your data.
Privacy & compliance
Client files, patient records, contracts and source code never leave your network. That makes security reviews and regulatory conversations simpler.
Predictable cost
No metered tokens and no surprise invoices when usage takes off. Capacity is an asset you own, not a bill that grows with adoption.
Speed & availability
Local inference means low latency and no rate limits. It keeps working when an outside provider has an outage or changes its terms.
Full control
Choose your models, pin versions and tune behavior to your work. Nothing gets deprecated out from under you.
How it works
From first email to agents in production.
-
01
Discovery
Tell us, in writing, what you want AI to do and what data it has to touch. No sales call is required.
-
02
Design
We size the system, pick the right open models and map the first agents to your highest-value workflows.
-
03
Deploy
The system arrives preconfigured. We connect agents to your tools with least-privilege access and run them alongside your team.
-
04
Operate
Ongoing model updates, monitoring and new agents as you find more work worth handing off.
Who it's for
Teams with sensitive data and real work to automate.
Built for organizations of roughly 20 to 500 people who have outgrown experiments but can't, or won't, send their work to a public AI cloud.
- Legal & professional servicesPrivileged documents, client confidentiality
- Healthcare & life sciencesPatient data, research IP
- Finance & insuranceRegulated records, audit trails
- Manufacturing & engineeringDesigns, process data, edge sites
- Software & IT teamsSource code, internal systems
- Public sector & educationData residency requirements
Where we are
Early access is open.
The first Nexgen systems are designed around the next generation of air-cooled data-center inference accelerators, which reach the market from late 2026 into 2027. We are now working with a small group of early-access teams to shape the first configurations and agents.
We publish facts, not hype. We make no stock claims, invent no benchmarks and don't guess at prices. Numbers go on this page once they are real.
- NowEarly-access conversations and agent design
- Late 2026Accelerator sampling and system validation
- 2027First production systems ship
FAQ
Common questions
Which models can it run?
Open-weight frontier models such as DeepSeek V4.1 and GLM-5.3, plus smaller specialist models for fast, cheap tasks. We pick and tune the mix to your workloads, and you can swap models as better ones are released.
Do I need a server room or special power?
No. The system is air-cooled and designed for standard office power and a normal rack or tower footprint. That is the whole point of the mid tier.
Does any of my data go to the cloud?
No. Inference runs on the system inside your network. Agents connect only to the tools you authorize, and nothing is sent to a third-party AI provider.
Can I buy just the agents, or just the hardware?
The two are designed together and work best as one system. If you have a specific need for one half, tell us about it and we'll give you a straight answer.
What does it cost?
Pricing will be published once production configurations are set. Early-access teams help shape those configurations and hear first.
Do you sell NVIDIA DGX or other branded servers?
No. Nexgen Agent designs and brands its own systems. We are not a reseller or storefront for other vendors' servers.
Get in touch
Tell us what you'd run if the AI were yours.
Send a few lines about your team, your data and the work you want to automate. Every inquiry gets a written reply. No call is required.
Email Greg@nexgen-agent.ai