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The full-stack GPU cloud

GPU cloud for every stage of AI

Fine-tune, train and serve on fractional NVIDIA GPUs — billed by the minute, on infrastructure you can even run yourself. Pick where you want to start.

Fractional GPUs · Per-minute billing · Zero egress fees · ISO 27001

60%
cheaper than AWS
on equivalent GPU workloads
2 min
to first GPU
from sign-in to SSH
99.9%
uptime SLA
on managed infrastructure
12.5-100%
GPU fractions
pay only for the slice you use
QuickPods · Launch

Fine-tune without the setup.

Pick a template, get a running GPU with your framework pre-loaded. Datasets import in a click, checkpoints save automatically.

  • Pre-loaded: Axolotl, LLaMA Factory, Unsloth, PyTorch
  • One-click dataset import from Hugging Face
  • Auto-checkpoint every 10 minutes
  • Time-travel: rewind to any notebook state
finetune.ipynb · H100 · 50%
axolotl
unsloth
llama-factory
pytorch
In[1]: trainer.fit(model, epochs=3)
epoch 1/3 ████████████ loss 1.82
epoch 2/3 ████████░░░░ loss 1.14
✓ checkpoint saved · auto every 10m
TrainPods · Train

Bare-metal GPUs, live availability.

On-demand NVIDIA GPUs, billed by the hour. SSH straight in through the podstack CLI. Transparent pricing, no “contact sales”.

  • H100, A100, L40S, B200 and more
  • Whole GPUs, billed by the hour
  • Live availability, no “contact sales”
  • CLI + SSH in seconds
GPUVRAMPrice/hrAvailable
RTX 2000 Ada16 GB₹35.284 free
RTX 4000 Ada20 GB₹40.714 free
L424 GB₹55.644 free
A4048 GB₹63.784 free
RTX 309024 GB₹71.924 free
Inference · Serve

Open-source model endpoints.

Low-latency endpoints for open-source models. OpenAI-compatible, autoscaling, and scale-to-zero when idle — you only pay for tokens processed.

  • Sub-200ms cold start
  • Scale-to-zero when idle
  • OpenAI-compatible API
deploy.py5 lines
import podstack

endpoint = podstack.deploy(
  "meta-llama/Llama-3-8B")
# auto-scales 0 → 100 GPUs on traffic
# pay per token, never for idle

← 200 OK · p50 88ms · scaled to zero
All models, one API · per 1M tokensinference.podstack.ai →

NVIDIA: Nemotron 3 Ultra (free)

Podstack · hosted
new
in ₹0.00out ₹0.00

Microsoft Phi 4

Podstack · hosted
new
in ₹9.42out ₹18.84

NVIDIA Nemotron 3 Super

Podstack · hosted
new
in ₹11.44out ₹53.82

Llama 4 Scout

Podstack · hosted
new
in ₹13.46out ₹40.37

Trusted by teams shipping AI

  • Bonrix Software Systems
  • Mytron Labs
  • Monk DB
  • Pinsaar
  • 3AV Labs
  • Arcelor Mittal
Managed MLOps

Your MLOps stack, provisioned for you.

Fully-managed services — provisioned, patched and billed for you. Order one, get a private endpoint in minutes.

from ₹1,500/mo per service
M

MLflow

Experiment tracking & model registry.

₹1,500Order
K

Kubeflow Pipelines

Pipeline orchestration with the KFP UI.

₹1,500Order
D

DVC Remote

Versioned, S3-compatible data remote with a web browser.

₹1,500Order
M

Metaflow

Metaflow metadata service + UI.

₹1,500Order
podstack CLI · one binary

The whole platform,
from your terminal.

Rent GPUs, fine-tune, serve models — even ship apps with an AI coding agent. One browser sign-in, no API key to copy.

$curl -fsSL podstack.ai/install.sh | sh
  • podstack codeAI coding agent + live cloud sandboxes
  • podstack gpurent a GPU and SSH in within seconds
  • podstack trainmanaged LoRA / QLoRA fine-tuning jobs
  • podstack modelsbrowse & call the Inference Cloud catalog
~ / podstacksigned in
$ podstack code
→ agent planning · editing 6 files
$ podstack sandbox run
✓ preview live → q7x.sandbox.podstack.ai
→ share the URL with your team
Cost calculator

Know your cost before you sign up.

Configure a job and see the estimate against AWS and Colab Pro — instantly.

Estimated on PodStack
₹3,884₹3,884
≈ 8.7 hrs on H100 · 50%
vs AWS₹10,097 −62%
vs Colab Pro₹7,767 −50%
Start this job now
DC Suite · For datacenters

Run your own GPU cloud.

Sitting on idle GPUs? License the same platform PodStack runs on and turn hardware into recurring revenue — in 48 hours.

  • Turn idle hardware into revenue in 48 hours.
  • PodVirt slices GPUs 12.5–100% — sell every GB of VRAM.
  • Built-in billing, metering and a self-serve customer portal.
  • Enterprise isolation, audit trails and data residency.
DC Suite docs
GPU utilisation after DC Suite3 weeks
30%
before
87%
with PodStack
“We went from 30% to 87% GPU utilisation in 3 weeks.” — Partner DC

Ready to ship your model?

Sign in and launch your first fractional GPU in under a minute — no signup form, no waiting. Pay only for the minutes you use.

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