Choose a ready-to-run Agent OS, dedicated Windows compute, unified model access, or a private GPU lane.
Dedicated compute, unmetered local inference, and cloud model access on one server, sized from a first production deployment to multi-fleet orchestration.
Entry tier: dedicated server plus the 13-model pooled base.
Server specs
Included with EXTREME:
More RAM to run more agents per box.
Server specs
Everything in EXTREME, and also:
For production fleets running agents in parallel.
Server specs
Everything in MONSTER, and also:
High RAM for many concurrent agent sessions.
Server specs
Everything in BEAST, and also:
Memory headroom for long-context, multi-step workflows.
Server specs
Everything in LIGHTNING, and also:
All 26 pooled models and the largest local footprint.
Server specs
Everything in DRAGON, and also:
Every Agent OS server starts with these 13 pooled models. Higher tiers keep every model below and add the models listed in their tier.
GPT-6 Luna
DeepSeek V4.1 Flash
Qwen 3.6 35B-A3B
Devstral 2 123B
gpt-oss-120b
GPT-6 Sol
MiniMax M2.7
MiniMax M3
Grok 4.1 Fast · reasoning
Grok 4.1 Fast · non-reasoning
Grok 4.3
Grok 4.20 · non-reasoning
Grok 4.20 · reasoning
All 26 pooled models
Flagship credit is separate from the pooled base-model allowance.
Dedicated AMD EPYC cores, PCIe NVMe, administrator access, and a 100 Gbit network on every plan.
Entry server for a few bots or scheduled scripts.
More cores and RAM for always-on daily jobs.
Even CPU-to-RAM split for steady multi-bot loads.
Extra cores for running tasks concurrently.
High RAM for browser farms and local models.
Top CPU tier with double the NVMe storage.
48 dedicated cores and 64 GB RAM for heavy multi-bot fleets.
56 dedicated cores and 64 GB RAM for heavy multi-bot fleets.
64 dedicated cores and 96 GB RAM for heavy multi-bot fleets.
72 dedicated cores and 128 GB RAM for heavy multi-bot fleets.
80 dedicated cores and 384 GB RAM for heavy multi-bot fleets.
88 dedicated cores and 128 GB RAM for heavy multi-bot fleets.
96 dedicated cores and 128 GB RAM for heavy multi-bot fleets.
OpenAI-compatible API keys with a monthly token allowance and guaranteed throughput. Pay monthly, or pay yearly and save.
or $20.83/mo billed yearly ($250/yr, save 58%)
or $41.67/mo billed yearly ($500/yr, save 44%)
or $59.58/mo billed yearly ($715/yr, save 39%)
or $125.00/mo billed yearly ($1,500/yr, save 29%)
or $166.67/mo billed yearly ($2,000/yr, save 26%)
or $250.00/mo billed yearly ($3,000/yr, save 29%)
Works out to $41.67/mo. RTX PRO 6000 Blackwell API with a dedicated server.
Works out to $59.58/mo. RTX PRO 6000 Blackwell API with a dedicated server.
Prices pulled live from our billing system. Yearly plans are billed once per year.
Reserve a single GPU today. For multi-GPU deployments, scope a custom build with the team.
One dedicated RTX PRO 6000 for production inference.
Two GPUs in one dedicated node for larger models.
Reserved GPU capacity spread across multiple nodes.
Browse 26 pooled models by the first Agent OS tier that includes them, plus four flagship models billed through metered credit.
Pooled models draw from your monthly base allowance. Grok 4.6, qwen3.8-max, kimi-k3, and GPT-6 Astra are metered flagship lanes, billed against separate credit.
Routine work stays on the unmetered local lane. Specialist calls route through the API catalog included with your tier.
Pick Agent OS, Windows, API + VPS, or dedicated GPU capacity.
Server resources, credentials, and API access are provisioned to match your tier.
Run recurring agent loops on your dedicated local inference lane. No per-token billing.
Call cloud models with your OpenAI-compatible key when a task needs them.
Your dedicated RTX PRO 6000 environment comes pre-installed with Hermes and OpenClaw out of the box. Enjoy dedicated privacy, live state snapshots, and zero rate limits across your optimized Agent OS.
Windows or Ubuntu, preloaded with OpenWebUI, Hermes, and OpenClaw. Log in and deploy your swarms.
Burst past 10,000 TPS on RTX PRO 6000 hardware. No rate limits, no API queues, no per-token fees.
Agent state is fragile. Automatic environment snapshots let you roll back to a known-good state when a swarm crashes.
Your weights, your prompts, your data. Bare-metal isolation means no shared tenants and no third-party access to your workloads.
ECC memory paired with GPU acceleration, sized to hold long context windows in memory.
Direct uplinks to 100 Gbps transit. Your agents can crawl, pull, and ingest data at scale without saturating the pipe.
Up to 14,000 MB/s reads and writes. Model weights load fast, and storage stops being the bottleneck.
AMD EPYC⢠9274F processors with up to 48 cores, 4.3 GHz boost clocks, and large L3 cache for parallel agent workloads.
The price, speeds, and limits on your plan today stay fixed for life. No forced migrations. No surprise changes.
Covered by a 100% uptime SLA from our enterprise datacenter. Your fleet stays online 24/7.
Internal OS optimization scripts and custom BIOS settings, tuned for system, GPU, and network throughput.
When new frontier models ship, we add them to your cluster. No migration and no plan change required.
Setup, model access, infrastructure, and support, answered before you pick a plan.
Each plan combines dedicated server resources, a ready-to-run Agent OS environment, unmetered local inference, and an OpenAI-compatible API key for the cloud models included with that tier.
Yes. Agent OS environments can be delivered on Windows or Ubuntu, with administrator-level access to your dedicated resources.
Every Agent OS plan includes the 13-model core catalogue. Each higher tier keeps every model below it and adds coding, reasoning, speed, and frontier lanes. The Models section lists the entry tier for each model.
Yes. The included API is OpenAI-compatible. Point your existing SDKs, tools, and agent frameworks at it with a new base URL and key.
Pooled cloud models draw from the monthly allowance included with your plan. Metered flagship models use explicit credit separately, so premium usage stays visible and controlled.
Yes. Dedicated GPUs, multi-GPU systems, blade deployments, and larger reserved environments can be scoped directly with the infrastructure team. Start a custom quote.
EbotServers handles support directly: provisioning, infrastructure, networking, and account questions.
Legacy machine, multi-GPU cluster, blade system, or full cabinet. Talk directly with the team about capacity, networking, and deployment.
