One cloud for every workload
GPU instances, bare-metal servers, storage, private networking, and serverless inference — provisioned from one console, wired into one API, billed by the second.
99.9% uptime SLA · Per-second billing · Four regions · No sales call required
Trusted by ML teams shipping in production
Serious AI workloads run here
Launch an H100 pod next to a bare-metal database, wire both into a private VPC, and serve the finished model from an endpoint that scales to zero — without leaving the console.
Compare pricing across the catalogGPU Cloud
From one RTX 4090 to an 8× H100 pod
The capacity other clouds waitlist, on demand. Boot a training node in about 60 seconds, stop it mid-epoch, and pay for exactly the seconds it ran.
- Nine SKUs in stock — B200, H200, and H100 SXM through A100, L40S, and RTX-class dev cards.
- Per-second billing in on-demand or reserved mode — stopped instances cost nothing.
- NVMe scratch and 100 Gbps networking on every node, no add-on fees.
Instances
Launch instancetrain-h100-a
8× H100 SXM · 640 GB VRAM · US East (Ashburn)
infer-l40s-1
1× L40S · 48 GB VRAM · EU Central (Frankfurt)
dev-4090
1× RTX 4090 · 24 GB VRAM · US West (Portland)
GPU utilization · train-h100-a
94% avg
Bare Metal & VMs
Single-tenant metal, zero hypervisor tax
When virtualization is overhead, take the whole box. Dedicated servers for databases and render farms, plus lightweight virtual CPU instances for everything around them.
- Up to 64 cores and 512 GB of DDR5 per box — no neighbors, no noisy I/O.
- Reimage from snapshot in under 90 seconds with full out-of-band console access.
- Virtual CPU instances for web tiers, queues, and orchestrators, on the same private network as your GPUs.
metal-e64 · bare metal
CPU
64-core AMD EPYC
Memory
512 GB DDR5
Storage
2× 3.84 TB NVMe
Network
100 Gbps Ethernet
Storage & Networking
Storage that keeps your GPUs fed
An idle H100 waiting on I/O is the most expensive kind. Block volumes, object buckets, and snapshots live on the same fabric as your compute — so data arrives as fast as you can consume it.
- NVMe block volumes attach in seconds and resize without downtime.
- S3-compatible object storage with a free egress allowance for datasets and checkpoints.
- Private VPCs across all four regions — Ashburn, Portland, Frankfurt, and Tokyo.
Storage
checkpoints-h100
4 TB NVMe block
68% used · attached to train-h100-a
datasets-prod
18.4 TB object bucket
Versioning on · S3-compatible endpoint
nightly-snapshots
14 retained
Daily at 02:00 UTC · restore to any region
Private VPC · 4 regions · free egress allowance
Serverless AI
Inference that scales to zero
Serve open-weight models behind a managed endpoint. Traffic spikes scale out in seconds; quiet hours scale to zero, and so does the bill.
- OpenAI-compatible API — change one base URL and keep your client code.
- Autoscale from 0 to hundreds of replicas with sub-second cold starts.
- Pay per token served — never for an idle GPU.
$ curl https://api.reviosa.com/v1/chat/completions \
-H "Authorization: Bearer $REVIOSA_API_KEY" \
-d '{"model": "llama-3.3-70b", "stream": true}'
data: {"delta": "Ready."} · first token in 218 msReplicas
0 → 24
autoscaled in 41 s
p50 latency
218 ms
time to first token
Live in minutes, not meetings
No quota requests, no procurement cycle. Three steps between you and a running GPU.
Sign up
Create an account with your work email and add a card. New accounts start with $10 of credit — no sales call, no capacity request.
Launch
Pick a GPU, choose one of four regions, and boot a prebuilt PyTorch, CUDA, or Ubuntu image. Most instances are SSH-ready in about 60 seconds.
Scale
Add nodes from the console, CLI, or API as jobs grow. Per-second billing follows the workload up — and back down to zero.
Your entire fleet, one pane of glass
Every instance, volume, key, and invoice in one place — with the same operations available from the reviosa CLI and REST API.
console.reviosa.com
Running instances
12
+3 today
GPUs allocated
38 / 64
Month-to-date spend
$1,284.06
billed per second
| Name | Type | Region | Uptime | Status |
|---|---|---|---|---|
| train-h100-a | 8× H100 SXM | US East (Ashburn) | 61 h 12 m | Running |
| rag-embed-2 | 2× L40S | EU Central (Frankfurt) | 8 d 4 h | Running |
| render-farm-04 | 4× RTX 5090 | US West (Portland) | — | Provisioning |
| dev-notebook | 1× RTX 4090 | AP (Tokyo) | — | Stopped |
reviosa CLI. Launch, stop, and copy files from your shell — everything the console does, scriptable.
Scoped API keys. Per-project tokens with read-only or full access, rotated in one click.
Live billing. Watch spend accrue per second, per instance — no surprise invoice at month end.
Production-grade, audited to prove it
Reviosa runs its own hardware in facilities we control, backed by a 99.9% uptime SLA and engineers you can actually reach.
SOC 2 Type II
Audited annually against security, availability, and confidentiality. Report available under NDA.
Encrypted by default
AES-256 at rest, TLS 1.3 in transit, and hardware-backed key storage for every API credential.
US-owned data centers
Reviosa, Inc. operates its own facilities across four regions — no resold or spot-market capacity.
24/7 engineer support
A GPU engineer — not a chatbot — responds in under 15 minutes, every hour of every day.
Start training in minutes
Create an account, add a card, and launch your first GPU instance. Per-second billing means you only pay for what you use.
No minimum commitment · Cancel anytime · $10 free credit for new accounts