⚡ GPU Instances
Simple on-demand pricing — pay for what you use. All nodes are physically in India — Bangalore, Hyderabad, Mumbai, Delhi, Pune, Chennai.
NVIDIA CUDA
AMD ROCm Beta
| Tier |
GPUs included |
VRAM |
Price (on-demand) |
| Starter | RTX 3060 · GTX 1080 Ti | 8–12 GB | ₹12/hr |
| Plus | RTX 3060 Ti · RTX 2070 | 8 GB | ₹15/hr |
| Standard | RTX 3070 · RTX 4070 | 8 GB | ₹20/hr |
| Standard+ | RTX 3070 Ti · RTX 2080 Ti | 11 GB | ₹22/hr |
| Pro | RTX 3080 · RTX 4070 Ti | 10–12 GB | ₹25/hr |
| Pro+ | RTX 3080 Ti · RTX 3080 12GB | 12 GB | ₹28/hr |
| Pro Max | RTX 3090 | 24 GB | ₹34/hr |
| Pro Max+ | RTX 4080 · RTX 4080 SUPER | 16 GB | ₹38/hr |
| Ultra | RTX 4090 24GB | 24 GB | ₹44/hr |
| Extreme | RTX 5090 | 32 GB | ₹46/hr |
Billing is per-second after the first minute. Simple on-demand pricing — pay only for what you use. All prices exclusive of GST (18%).
| Tier |
GPUs included |
VRAM |
Price (on-demand) |
| AMD Standard | RX 6800 XT · RX 6700 XT | 12–16 GB | ₹18/hr |
| AMD Pro | RX 6900 XT · RX 7800 XT | 16 GB | ₹20/hr |
| AMD Ultra | RX 7900 XTX | 24 GB | ₹32/hr |
BetaAMD ROCm 6.1 — requires Ubuntu 22.04. ~28% cheaper than equivalent NVIDIA VRAM tier due to smaller driver ecosystem.
Same per-second billing, same India nodes. Install AMD agent →
🔮 Serverless Inference API
Scale to zero when idle. Pay only when your model is actually computing. No minimum charge between requests.
⚡
Active compute
₹0.0125/sec
RTX 4090 tier. Billed while a worker is handling a request. Minimum 100ms per request.
💤
Idle cost (scale-to-zero)
₹0
When no requests come in, workers scale to zero. You pay nothing. Cold starts take 2–5 seconds.
🧮
Example: 1000 req/day
₹37.50
If each request takes 3 seconds: 1000 × 3s × ₹0.0125 = ₹37.50/day. An always-on instance would cost ₹1,080/day.
📊
Compared to always-on RTX 4090
96% off
At 10% utilization, serverless costs ₹108/day vs ₹1,080/day for always-on. 96% savings for low-traffic endpoints.
Serverless endpoints run on Indian GPU nodes — lower latency for Indian users vs US-based serverless. Pre-built endpoints for LLM (vLLM + Llama 3), Whisper STT, Stable Diffusion XL, and custom Docker.
Browse endpoints →
💾 Network Volumes (Persistent Storage)
Data persists between instance restarts. Attach the same volume to any GPU in the same region. One simple rate: ₹6/GB/mo for all persistent storage.
⚡
SSD Volume
₹6/GB/mo
Fast SSD storage. Good for model weights, datasets, checkpoints. Billed monthly, pro-rated daily.
🗂️
Volume Snapshot
₹6/GB/mo
Point-in-time snapshot of any volume. Compressed. Good for backup before fine-tuning runs.
🆓
Scratch Disk (included)
Free
Every instance includes local disk for the container lifetime. Deleted on stop. Size varies by GPU node.
📦 Plans
Pay-as-you-go is the default — no subscription needed. Teams & institutes can add an org plan for shared billing, per-member spend limits, priority dispatch (skip the +25% charge on Business & up), and bulk provisioning. Set one up from the dashboard.
Free
₹0
Pay-as-you-go. 5 concurrent instances · standard queue · community support. This is everyone's default — just sign up.
Team
₹2,499/mo
For small teams — up to 10 members. Shared org wallet · per-member spend limits · usage dashboards · email + WhatsApp support.
Set up a team →
Business
₹9,999/mo
For institutes & companies — up to 50 members. 🚀 Priority dispatch (no +25% charge) · bulk provisioning · cohorts & time-boxed grants · dedicated support.
Set up a team →
Enterprise
Custom
Custom seats & monthly fee · guaranteed capacity · postpaid (pay within 30 days) option · GST B2B invoicing · dedicated account manager · priority support.
Contact sales →
🆓 Included at no extra cost
These features are free for every account — no paid tier required.
✓
API Keys (up to 10)Create named API keys for CI/CD, scripts, SDKs
✓
SSH Public Keys (up to 10)Upload once — auto-injected into every instance
✓
Webhooks (up to 10)HTTP callbacks on instance start, stop, billing events
✓
Email AlertsInstance ready / stopped / low balance notifications (WhatsApp coming)
✓
GST InvoicePDF invoice every billing cycle — claim ITC
✓
Secrets Store (up to 20)Encrypted env vars injected into your containers
✓
Team / Org AccountShared wallet, up to 5 members, sub-user permissions
✓
Budget AlertsEmail when spend hits your threshold
✓
JupyterLab in-browserOne-click Jupyter on any running instance
✓
Web TerminalSSH in your browser — no local SSH client needed
✓
Pre-built Docker templatesPyTorch, TF, JupyterLab, vLLM, SD, ComfyUI + more
✓
Startup Credits ₹150Free credits on GSTIN verification for registered companies
🎁 Discount programs
We actively support students and early-stage startups in India.
🎓
Student Bonus — 15%
Verified .ac.in or .edu.in email gets +15% bonus credits on every wallet top-up. ₹1,000 topped up = ₹1,150 to spend. Up to ₹3,000 lifetime bonus. Automatically applied at checkout.
🚀
Startup Credits — ₹150 Free
Register your GSTIN in account settings. GridShare verifies instantly via GST API and adds ₹150 free credits to your wallet — unlocked with your first top-up of ₹1,000+. One-time per company.
👥
Referral — ₹100 each
Share your referral link. When a friend makes a first top-up of ₹500+, you get ₹100 and they get ₹100. Up to 25 referrals (₹5,000 lifetime).
vs. AWS / Azure / GCP
The same PyTorch workload on GridShare vs Western hyperscalers. INR equivalent at ₹83/$.
| GPU | GridShare | AWS / GCP equivalent | You save |
| RTX 4090 24GB vs datacenter A100 — different GPU class |
from ₹44/hr |
₹305/hr (AWS A100 80GB, ~$3.67/hr) |
Fraction of the cost |
| 24 GB VRAM GPU |
₹38–45/hr |
₹1,660/hr (GCP a2-highgpu-1g) |
97% cheaper |
| RTX 3080 10GB (NVIDIA) |
₹25/hr |
₹830/hr (AWS g5.xlarge A10G) |
97% cheaper |
| RTX 3060 12GB (entry) |
₹12/hr |
₹415/hr (Azure NCv3, T4) |
97% cheaper |
| Jarvislabs RTX 4090 |
₹44/hr |
₹62/hr |
27% cheaper |
| RunPod RTX 4090 (USD) |
₹44/hr |
₹61/hr (USD conversion + fee) |
26% cheaper + India latency |
All GridShare GPUs are physically located in India — 5–20ms latency from Indian cities vs 150–250ms from US-based RunPod/Lambda. Your data stays in India.
🌱 Greener by design. Every GridShare GPU is existing hardware put back to work — no new datacenter built, no new silicon manufactured. Reusing idle consumer GPUs carries a fraction of the embodied-carbon footprint of spinning up fresh cloud capacity.
📊 Platform fee structure
Transparent split between GridShare and the GPU providers who power the network.
Provider earns
70%
Of every rupee you pay. Providers earn ₹8.40–₹42/hr depending on GPU tier. Paid out daily/weekly/monthly via UPI.
GridShare platform
30%
Covers: relay infrastructure, billing, monitoring, support, node agent updates, matching engine, and insurance for provider downtime.
Payout fee (provider)
1–2%
Daily payout: 2%. Weekly: 1.5%. Monthly: 1%. This covers UPI transaction costs. No fee on balance above ₹500 rolled over.
Billing FAQ
When does billing start?
Billing starts the moment your instance boots and the Docker container starts. For on-demand: the first minute is billed as a full minute, then per-second after that. Serverless bills per 100ms of active compute.
What happens if my wallet runs out?
When your wallet balance drops below ₹10 (or your custom budget alert threshold), we send an email alert. If balance hits ₹0, your running instances are gracefully stopped. Data on scratch disk is lost — use Network Volumes for persistence.
Can I get a refund on unused wallet balance?
Yes. Unused wallet credits can be refunded to the original payment source within 30 days. Bonus credits (student, referral) are non-refundable. See our
Refund Policy.
Are prices exclusive of GST?
Yes. All prices on this page are exclusive of 18% GST. GST is added at checkout. Indian businesses with a valid GSTIN can claim Input Tax Credit (ITC) on compute spend — the GST invoice is automatically generated every billing cycle.
Is there a free trial?
We don't have a time-limited free trial, but: student accounts get 15% bonus on every top-up (up to ₹3,000 lifetime), startups with GSTIN get ₹150 free (unlocked on a ₹1,000+ top-up), and referral credits give you ₹100 per friend whose first top-up is ₹500+. Minimum top-up is ₹100.
Can I set a spending limit?
Yes. Set a budget alert threshold in account settings — you'll get an email notification when your spend hits that amount. Useful for training runs where you want cost guardrails. Auto-stop on zero balance also acts as a hard cap.
Start for ₹100. Stop anytime.
No monthly fee. No contract. Top up your wallet and launch your first GPU instance in under 60 seconds. Student? Get 15% extra credits on every top-up.