--- title: "Private GPU Cloud — Dedicated NVIDIA GPU VMs | Bit Refinery" url: "https://bitrefinery.com/services/private-gpu-cloud" description: "A private rack of NVIDIA GPUs with NVLink, root access, and single-tenant isolation — RTX 6000 Ada 48 GB available today; H100, L40S, A100 and others on request. Bring your own GPUs via BYOGPU. Your data is never trained on." lastmod: "2026-05-13" source: "auto-generated from SSG HTML" --- PRIVATE GPU CLOUD · NOW AVAILABLE # Your own rack of enterprise NVIDIA GPUs — without the hyperscaler. A private Ubuntu VM with NVLink-connected GPUs, dedicated NVMe storage, and root access. Your data stays yours — nothing is ever trained on it. [Configure your GPUs](#configurator) Launching with NVIDIA RTX 6000 Ada 48 GB. Need an H100, L40S, A100, or different GPU? [Contact sales](https://bitrefinery.com/contact). Bringing your own hardware? [Explore BYOGPU](https://bitrefinery.com/byogpu). 48GB VRAM / GPU NVLink peer-to-peer 500GB NVMe storage Ubuntu root access peak FP32 91.1 TFLOPS tenants on host just you Privacy by architecture ## Your data doesn't leave. Our training corpus doesn't exist. We're a GPU hosting company, not an AI lab. There is no pipeline that ingests your workloads — because there is no model we'd feed it to. isolation-check.live ### Single-tenant hardware Your VM sits on dedicated silicon. No noisy neighbors, no shared GPU memory, no side-channel surprises. ### We never see your data No telemetry, no prompt logging, no inference monitoring. What runs on your GPUs stays on your GPUs. ### Never used for training Your prompts, weights, and datasets are not ingested into any model — ours or anyone else's. Ever. ### You hold the keys Full root. SSH-only. Bring your own disk encryption. Destroy-on-terminate wipes everything. Configure your pod ## Pick your GPU count. We'll handle the rest. Every pod ships as a fully managed Ubuntu VM with NVLink-bridged GPUs, root access, and zero config. GPU Count 1 – 7 2× RTX 6000 Ada · 48 GB Total VRAM 96 GB GDDR6 ECC NVLink bridges 1 active peer-to-peer vCPUs 2 dedicated System RAM 8 GB DDR4 NVMe storage 500 GB encrypted OS image Ubuntu 24.04 root + SSH Your pod, live preview Your configuration Per month $1,606/mo 30-day commit · $1.10/hr equivalent 10 TB egress included · no setup fees 2× RTX 6000 Ada · 48 GB$1.10/hr ea 2 vCPU · 8 GB RAM · 500 GB NVMeincluded 10 TB egressincluded Setup fee$0 prices indicative · final quote on request Spin up in under an hour. We'll send SSH credentials the moment your pod is hot. Other paths [Need an H100, L40S, or A100?](https://bitrefinery.com/contact)[Bringing your own GPUs?](https://bitrefinery.com/byogpu) Built for ## What founders run on Bit Refinery. Not benchmarks. Real workloads from real startups shipping real products. 01 serve open models at scale ### LLM inference Run Llama 3.1, Mistral, Qwen, or your own fine-tune. A fully loaded 7× 48 GB pod fits models up to ~200B params at quantized precision — larger GPU classes available on request. 02 LoRA, QLoRA, full-param ### Fine-tuning Train on your proprietary data without it ever touching an external model. NVLink lets you shard weights across every GPU in your pod — or scale to H100-class cards for serious training runs. 03 tools, chains, long-running ### Agentic AI Build autonomous agents with persistent state and tool access. You control the runtime, the traces, and the guardrails. Why Bit Refinery ## What you get that the hyperscalers don't ship. Dedicated GPUs are table stakes. The rest is where we differ. ### $0 Egress Fees Every checkpoint, dataset sync, and inference response is data transfer. AWS charges $0.09/GB, GCP $0.12/GB. On Bit Refinery it's $0 — 10 TB included, unlimited 1 Gbps bandwidth available. ### Single-tenant silicon Your VM is pinned to physical GPUs — not a shared slice where another tenant's workload degrades your throughput. Full root, SSH-only, your workload only. ### NVLink peer-to-peer Up to 7× RTX 6000 Ada 48 GB connected with NVLink bridges for high-bandwidth peer access. Shard a 200B-parameter model across all seven or run parallel workloads independently. ### Data never leaves Weights, prompts, and datasets stay on your hardware in our Tier 3 data centers in Denver and Seattle. No third-party data processing agreements. Destroy-on-terminate wipes everything. ### Predictable monthly billing Commit monthly or annually and get a flat bill — no per-second surprises, no egress overages, no compute-hour spikes. Budget GPU compute the same way you budget rent. ### Google Cloud Interconnect Every Denver pod includes free private peering to Google Cloud. Train on Bit Refinery GPUs and pipe data from BigQuery, Vertex AI, or Cloud Storage over a sub-millisecond private link. Hosted in our Tier 3 facilities in Denver and Seattle. Need data residency in Colorado specifically — for state agencies, HIPAA-bound healthcare, or Front Range aerospace workloads? [See Colorado GPU Hosting](https://bitrefinery.com/services/colorado-gpu-hosting) Head to head ## Bit Refinery vs. RunPod. RunPod is a popular cloud GPU marketplace. Here's how a private pod on Bit Refinery compares for teams running sustained GPU workloads. Feature Bit Refinery RunPod Pricing model Monthly or annual commit · flat bill Per-second / per-hour burst rental Cost predictability Fixed — no bursts, no overages Variable — hourly usage plus egress Egress fees $0 — 10 TB included, unlimited available $0 on network storage; standard egress elsewhere Hardware RTX 6000 Ada 48 GB default · H100, L40S, A100, and others on request Shared cloud GPUs across consumer + datacenter cards NVLink bridges Up to 6 bridges across 7 GPUs Typically unavailable between rented cards Tenancy Single-tenant — silicon is yours Multi-tenant host Access Full root · SSH · Ubuntu 24.04 Container-level access Uptime SLA 99.99% 99.9% Data residency Denver, CO and Seattle, WA 31 regions — varies by availability Compliance SOC 2 Type II SOC 2 Type II GCP Interconnect Free private peering (Denver) Not available Best for Dedicated GPUs, predictable billing, compliance Self-service elastic GPU bursts **The key difference:** RunPod is a self-service cloud GPU marketplace — great for short bursts where you want the cheapest hourly rate. Bit Refinery gives you a dedicated, single-tenant pod with predictable billing, compliance coverage, and Tier 3 colocation. If your workload runs longer than a few hours a day — or if your data can't live on a multi-tenant host — we're the better fit. RunPod details based on published rates at runpod.io as of April 2026. Trust, but verify [Based in Colorado? See our Colorado-focused offering →](https://bitrefinery.com/services/colorado-gpu-hosting) SOC 2 Type II attested US-based Denver · Seattle No data training contractual Encrypted at rest AES-256 ## Frequently Asked Questions ## Stop renting a fraction of a GPU. Own your compute. Tell us what you're building. We'll have a pod provisioned, SSH-ready, and in your inbox — usually same-day. [Re-configure](#configurator) No long-term contracts Cancel anytime Real engineer support