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.
Available now: NVIDIA RTX 6000 Ada 48 GB and RTX PRO 5000 Blackwell 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.
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.
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.
Consistent performance, every run
Your GPUs answer to you and no one else. No shared scheduler, no request queue behind another tenant's job, no throughput that sags when the host gets busy. The same latency profile every time — the kind you can put in an SLA.
No rate limits. No throttle ceiling.
Run the card as hard as you want. No per-key quotas, no tier caps, no surprise 429s mid-run. Dedicated hardware means the only limit is the silicon you're paying for.
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.
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. More broadly: keep inference next to your data — your object storage, your analytics, your pipelines — instead of hauling datasets out to a third-party API.
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.
$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.
When the API isn't an option at any price.
For regulated workloads, the question isn't which provider has the cheapest tokens — it's whether your data is allowed to transit a third party at all. Often it isn't. A shared inference API means your prompts, documents, and outputs pass through infrastructure you don't control and can't fully audit. Dedicated, single-tenant hardware removes that question entirely.
Answer the audit questions
Where is data processed, who can access it, is it ever retained or trained on? On dedicated hardware you control the chain of custody — and can prove it.
Compliance coverage
SOC 2 Type II attested. HIPAA-ready BAAs available. AES-256 at rest, TLS 1.3 in transit. Tier 3 facilities in Denver and Seattle.
Data residency you can point to
Your workload runs on known hardware in a known U.S. data center — not a region that 'varies by availability.' Colorado in-state residency available under SB 24-085.
No third-party processing agreements
Nothing leaves your environment, so there's no chain of sub-processors to vet, no data-sharing terms to reconcile, no model provider in the path.
In-state data residency, HIPAA-ready BAAs, and a local team for state agencies, healthcare, and Front Range defense contractors. Your data stays in Denver — under Colorado law.
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.