Where does Quark Labs' customer data physically live?

All Quark Labs inference workloads run on dedicated NVIDIA GPUs inside Bit Refinery's Tier 3 Denver, Colorado data center. The physical jurisdiction is auditable and named in customer contracts.

Is Quark Labs sharing GPUs with other tenants?

No. Quark Labs runs on Bit Refinery's private GPU cloud — single-tenant bare metal with NVIDIA RTX 6000 Ada 48 GB cards (H100, L40S, A100 and other NVIDIA classes available on request), no shared scheduler, no noisy-neighbor effects, no other workloads on the same physical hardware.

How does the pricing work?

Bit Refinery bills Quark Labs a fixed monthly fee for the reserved hardware. There are no per-token charges and no egress fees. That predictability is what allows Quark Labs to offer its own customers stable, contractual pricing.

I'm building AI for a regulated industry — how do I evaluate Bit Refinery for my own platform?

Start by reading the private GPU cloud page at /services/private-gpu-cloud, then contact us through the form below. We schedule a technical conversation with an infrastructure engineer to walk through requirements: GPU model (RTX 6000 Ada today, H100/L40S/A100 on request), isolation level, data residency, networking, and SLAs.

Partnership Announcement

Quark Labs runs on Bit Refinery's private GPU infrastructure.

Q: Does Quark Labs send customer documents to a third-party model API?

No. Quark Labs runs inference entirely on Bit Refinery-hosted GPUs. There is no telemetry pipeline back to a foundation-model vendor, and no customer document is forwarded to a hyperscale model API for processing.

Trusted automation for document-driven decisions in regulated industries — powered by dedicated NVIDIA GPUs in Colorado, with single-tenant isolation, zero egress fees, and no model-provider telemetry.

Single-tenant GPUs
U.S. data centers
Fixed monthly pricing

Bit Refinery

Denver, CO

Quark Labs

AI for regulated industries

About Quark Labs

Trusted automation for document-driven decisions

Quark Labs builds AI-powered automation for the document-heavy workflows that drive consequential decisions in regulated industries — finance, insurance, and healthcare. Quark transforms complex documents into structured knowledge that powers automated workflows, compliance checks, and cross-document insights. Its document extraction intelligence platform handles intricate PDFs, embedded images, PHI & PII, and other sensitive data that traditional tools find too expensive or error-prone to parse at scale — delivering trusted automation with built-in compliance and full auditability.

Co-founded and led by CEO Vishal Singh, Quark Labs recently emerged from stealth to address a gap in the market: organizations in regulated industries cannot adopt off-the-shelf foundation-model APIs without conceding control over where their data lives and how it's processed. Quark Labs gives them automation they can trust — and that trust starts with the infrastructure the platform runs on: Bit Refinery's private GPU cloud.

“Our customers operate in industries where ‘the cloud’ isn't a neutral answer. Bit Refinery gave us dedicated NVIDIA hardware, a clear U.S. data-center footprint, predictable monthly economics, and an engineering team that actually picks up the phone.”

Vishal Singh

CEO & Co-Founder, Quark Labs

Why Quark Labs chose Bit Refinery

Four requirements that ruled out hyperscale cloud GPU rentals.

Single-tenant isolation

No shared scheduler. No noisy neighbors. Quark Labs' inference runs on Bit Refinery's private GPU cloud — reserved NVIDIA hardware dedicated entirely to their platform.

U.S. data sovereignty

Quark Labs' workloads run in Bit Refinery's Tier 3 Denver, Colorado facility — a known U.S. jurisdiction that satisfies the compliance and auditability requirements of regulated customers.

Predictable economics

Fixed monthly pricing replaces per-token billing and surprise egress fees. Quark Labs' infrastructure costs don't scale unpredictably with customer growth.

No model-provider telemetry

Quark Labs' platform never sends customer data through a third-party model API. Inference runs on dedicated GPUs with no telemetry pipeline back to a foundation-model vendor.

The infrastructure powering Quark Labs

Quark Labs' platform runs on Bit Refinery's private GPU cloud — dedicated NVIDIA GPUs in our Tier 3 Denver data center, single-tenant, no virtualization layer, no third-party model API in the path.

NVIDIA RTX 6000 Ada 48 GB GPUs available today; H100, L40S, A100 and other NVIDIA classes available on request
Up to 7 GPUs per pod with NVLink peer-to-peer bridges for high-bandwidth model sharding
Single-tenant bare metal — no virtualization overhead, no shared scheduler
1 Gbps unlimited bandwidth, zero egress fees, 10 TB included
Tier 3 Denver, Colorado data center — biometric access, 24/7 surveillance, redundant power & cooling
SOC 2 Type II attested; destroy-on-terminate wipes everything

Application

Quark Labs Platform

Customer-facing AI workflows

Compute

Dedicated NVIDIA GPU(s)

Single-tenant inference hardware

Infrastructure

Bit Refinery Bare Metal

Tier 3 — Denver, CO

“Quark Labs is exactly the kind of company we built our private GPU infrastructure for. They're serving customers whose data cannot leave a controlled environment, whose compliance teams need to know precisely which physical hardware their workloads ran on, and whose business model can't absorb the variable per-token economics of a hyperscale API.”

Mike George, VP of Operations, Bit Refinery

Frequently Asked Questions

Building AI for regulated customers?

Talk to us about private GPU infrastructure that lets you tell your customers exactly where their data lives.

Visit Quark Labs