Premium LLM inference.
A fraction of the cost.
Powered by our proprietary Slipstream VRAM™ (Patent Pending) architecture, cut inference costs by 90%. Disco Squid eliminates the hardware inefficiencies of modern AI. Get uncompromised performance via our Serverless API or deployed on your own infrastructure.
The Monolithic AI Tax
Right now, enterprise AI faces a brutal compromise: pay exorbitant cloud fees for massive, monolithic instances just to fit the model, or degrade your user experience by running smaller, heavily quantized models.
The core issue? Large Language Model inference has two distinct phases: Prefill (starved for compute) and Decode (starved for memory bandwidth). Because traditional providers force both phases to share the exact same expensive hardware, they are constantly over-provisioning and leaving premium GPUs sitting idle. They pass that massive hardware tax directly onto your per-token bill.
Disco Squid Disaggregation
We shatter the monolithic trap by physically decoupling the inference pipeline. Because our underlying infrastructure costs a fraction of traditional providers, we give you two ways to win:
The Serverless API
Don't want to manage infrastructure? Just hit our endpoint. Because our backend architecture ensures zero idle compute, we offer premium 70B+ models at a disruptively low per-token price. Get lightning-fast time-to-first-token (TTFT) while slashing your monthly API bill.
Enterprise Deployment
Bring your own cloud (AWS, Azure, GCP) or your own hardware. Independently scale your inference phases so you only pay for what you actually use. Run prefill on dense accelerators and stream state to cheap CPU/consumer GPU instances for decode.
The Engine: Why It Works
💍 Slipstream VRAM™
Stop fighting the hyperscalers for scarce, overpriced H100s. Our technology dynamically calculates available device memory and allocates lock-free ring buffers on the fly. Pin massive model states in cheap host system memory and stream them just-in-time into the GPU.
🛡️ Uncompromising AI for Air-Gapped Environments
The public cloud isn't an option for everyone. Whether the isolation is deliberate (Military, Defense, HIPAA-compliant healthcare) or circumstantial (Research vessels, remote mining, disconnected edge locations), Disco Squid brings cloud-tier LLM performance to constrained local hardware.
Run uncompromised 70B-1T+ parameter models on single, isolated hardware racks with zero internet connection required.
Join the Private Beta