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.
Launching with NVIDIA RTX 6000 Ada 48 GB. Need an H100, L40S, A100, or different GPU? Contact sales. Bringing your own hardware? Explore BYOGPU.
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.
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.
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.
prices indicative · final quote on request
What founders run on Bit Refinery.
Not benchmarks. Real workloads from real startups shipping real products.
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.
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.
Agentic AI
Build autonomous agents with persistent state and tool access. You control the runtime, the traces, and the guardrails.
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
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.
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.