H100 SXM from $1.49/hr — Per-second billing — No minimums

GPU Cloud That
Actually Works

Zero-drop SSH terminals. Anti-orphan storage. Per-second billing with hard budget caps. Unified data pipeline. One-click training & inference. Native control plane with sub-ms API.

Launch Instance View Docs

<30s

Instance Launch

<1ms

API Response

10K+

WebSocket Conns

60%

Below AWS Pricing

Built Different

Not another GPU cloud wrapper. Native systems architecture, purpose-built for ML workloads.

Zero-Drop Terminals

Server-side SSH persistence. Browser disconnect ≠ session loss. Reconnect with full scrollback.

Anti-Orphan Storage

Reconciliation engine eliminates zombie resources. Hard TTL on detached volumes. Monthly audit.

Per-Second Billing

Not per-hour. Hard budget caps — instance auto-terminates at limit. No surprise bills. Ever.

Multi-Provider

H100, H200, A100, B200 from multiple providers. Best price, best availability, single API.

Data Pipeline

Cloud connectors (S3, GCS, R2, HF Hub), transfer manager, platform-level model cache, dataset catalog.

Model Registry

Import from HuggingFace, URL, or upload. Deploy as OpenAI-compatible inference endpoints in one click.

Training Pipeline

SFT, DPO, GRPO, LoRA, QLoRA. Upload dataset, select model, configure, train, deploy — all in the UI.

Sub-ms Native API

Purpose-built binary control plane. Zero GC pauses. 10K+ concurrent WebSocket connections. Not Node.

Launch → Train → Deploy

From zero to inference endpoint in minutes, not days.

Launch a GPU Instance

Pick your GPU (H100, H200, A100), choose an environment (PyTorch, vLLM, JAX), set a budget cap. Running in under 30 seconds.

Launch Instance

Train or Import a Model

Fine-tune with SFT/DPO/GRPO/LoRA from the UI. Or import from HuggingFace Hub, URL, or file upload. Cache models on platform NVMe for instant reuse.

Start Training

Deploy as Endpoint

One-click deploy any model as an OpenAI-compatible inference endpoint. Scale up/down, monitor latency, serve via API.

View Models

No competitor has this

Unified Data Pipeline

Every other GPU cloud makes you scp files manually or run CLI tools per-instance. FuturaNexus gives you a visual data pipeline that connects your cloud storage, transfers data at wire speed, caches models on platform NVMe, and manages datasets — all from the dashboard.

Cloud Connectors — S3, GCS, Azure Blob, Cloudflare R2, HuggingFace Hub

Model Cache — Download once, instant-mount to any instance — no re-download

Dataset Catalog — Import from HF Datasets, S3, URLs. Streamable for training

Transfer Manager — Parallel streams, progress tracking, pause/resume, auto-retry

Explore Data Pipeline

🟠

Production S3connected

AWS S3 · ml-prod-data

🤗

HuggingFace Hubconnected

HuggingFace

🟧

R2 Model Weightsconnected

Cloudflare R2 · model-weights

Transparent Pricing

No hidden fees. No minimum commitments. Pay for what you use.

A100 80GB

$1.10/hr

Spot: $0.44/hr

Spin up a GPU in under 30 seconds

No sales call. No minimums. Just compute that launches fast, bills by the second, and never surprises you.

Launch Instance See Pricing

GPU Cloud ThatActually Works