Enterprise Pricing
Pick your model. We size and price the hardware.
A flat monthly subscription per dedicated node, tiered by GPU count and size. No per-token metering, no spot-price swings. Prices are indicative — talk to us to finalise.
1× GPU
Single 96 GB GPU. Fits ~30B-class models comfortably. A strong starting node for a focused team.
Get started2× GPU
192 GB total VRAM via tensor parallelism. Hosts large or long-context models such as ~120B configurations.
Get started4× GPU
384 GB total VRAM — the largest single-node configuration. For the biggest models at maximum context.
Get startedPrices are indicative and shown in CHF per node per month. Final pricing depends on region, commitment, and configuration. Multi-GPU nodes use vLLM tensor parallelism across 96 GB-per-GPU cards. The largest open-weight flagships (for example GLM-5.2 or Kimi K2.7 Code at maximum context) can exceed a standard 4-GPU node — contact us to scope a custom configuration.
Which node size fits your model?
Pick an exemplary model to see which node sizes can host it. A size fits when its total VRAM (GPU count × 96 GB) clears the model's footprint plus KV-cache headroom.
~54 GB — a fast mid-size coder that fits a single GPU with room for context.
Model footprints are rough, illustrative estimates and depend on quantization, context length, and concurrency. Prices are indicative CHF per node per month.
Every node includes
check Dedicated, single-tenant, always-on node in your chosen regioncheck Prompts and completions never leave the node — telemetry-only uplinkcheck Direct routing with on-node TLS and on-node key authenticationcheck Frontier open-weight models (MiniMax M3, GLM-5.2, Kimi K2.7 Code)check OpenAI-compatible /v1/chat/completions endpointcheck Organisation workspace: nodes, members, API keys, subscriptioncheck Flat monthly subscription — no per-token metering, no overage
Pricing FAQ
Ready for a Dedicated In-Region Node?
Start an enterprise workspace to provision your first node, or contact us to finalise pricing for your region and configuration.