“Switched our LLM fine-tuning to HostGraber A100s—training time halved vs our previous cloud and latency dropped for inference APIs.”
Accelerate Your AI, ML & GPU Workloads.
On-Demand GPU Cloud in India
Deploy enterprise-grade NVIDIA GPU servers instantly from our India-based data center. Power your AI, rendering, and HPC applications with low-latency performance at the most competitive Indian pricing.
HostGraber GPU Cloud – Built for AI, ML & HPC
NVIDIA A100
High-Performance GPU
80 GB
HBM2e VRAM
7,000+
CUDA Cores
1.5 TB/s
Memory Bandwidth
Multi-GPU
NVLink Scalability
Why Choose HostGraber GPU Cloud?
Blazing GPU Performance
NVIDIA A100 / H100, RTX 6000/4090 options, NVLink for multi-GPU scaling, NVMe storage, 1–10 Gbps networking.
- Optimized for TensorFlow, PyTorch, CUDA/cuDNN
- High VRAM configs (up to 80 GB HBM)
- Dedicated or shared GPU profiles
Made-in-India, Low Latency
Run close to your users and data for faster training, inference, and streaming.
- Indian data center with local peering
- Reduced egress vs global hyperscalers
- Compliance-friendly data residency
Enterprise-Grade Security
Secure by design with layered controls and continuous monitoring.
- DDoS mitigation, private VLANs, ACLs
- ISO-aligned processes, PCI-DSS ready
- 24×7 NOC/SOC, abuse & reputation guard
Predictable, Flexible Pricing
Pay monthly/quarterly/annual; custom quotes for long-running AI jobs and render farms.
- Transparent Indian ₹ pricing
- Scale up/down without lock-in
- GST-ready invoices
Dev-Friendly & Automated
Provision fast, ship faster—without babysitting infra.
- API/CLI, full root, KVM virtualization
- Images for Ubuntu / AlmaLinux / Windows
- Snapshots, backups, VPC networking
Real Humans, Real Time
Talk to engineers who understand AI/ML, HPC, and rendering.
- 24×7 support (ticket/phone/WhatsApp)
- Migration & onboarding assistance
- Best-practice tuning for frameworks

Enterprise-Grade Hosting from Our Indian Data Center
- Hosted Locally, Delivered Globally
Experience ultra-low latency and faster page load times with our enterprise-grade servers located in Tier-III Indian data centers. - High-Performance Hardware
We use top-tier hardware with NVMe SSD storage, Intel Xeon processors, and RAID configurations for maximum speed and reliability. - Data Security & Compliance
Our data centers follow strict security protocols and are compliant with local data protection regulations. Your business data stays safe, private, and within Indian borders. - Scalable to Any Size
Scale your infrastructure on-demand—upgrade CPU, RAM, storage, and bandwidth as your business grows, without service interruptions.
Enterprise-Grade Infrastructure with PCI DSS Compliance

GPU Cloud Use Cases
Speed up model training with CUDA, cuDNN and high-VRAM GPUs.
- TensorFlow, PyTorch, JAX optimized
- Large batch sizes with 40–80 GB VRAM
- Multi-GPU NVLink scaling
Serve chatbots, RAG pipelines, embeddings, and vector search.
- Quantized models for low latency
- Autoscale with load balancers
- Private VPC & data residency in India
Customize LLMs on your data; build retrieval-augmented apps.
- LoRA/QLoRA, PEFT workflows
- Fast chunking & embeddings at scale
- Compatible with LangChain/LlamaIndex
Accelerate ETL, feature engineering, and analytics pipelines.
- Spark, RAPIDS, cuDF, Dask support
- High IOPS NVMe for fast IO
- 1–10 Gbps networking
Boost 3D, animation, and video pipelines on demand.
- Blender, Octane, Redshift, Unreal
- Large texture/scene VRAM headroom
- Scale render farms quickly
Accelerate CFD, FEA, genomics, and scientific computing.
- MPI, CUDA-accelerated libraries
- High-core vCPU + ECC RAM
- Private VLANs & low-latency fabric
Real-time inference for imaging, OCR, and diagnostics.
- FP16/INT8 optimizations, TensorRT
- High throughput streaming
- On-prem-friendly data residency
Risk modeling, backtesting, Monte Carlo at GPU speed.
- cuBLAS/cuML, RAPIDS stack
- Low-jitter networking
- Secure VPC segmentation
Cloud streaming, encoding/transcoding, real-time interactivity.
- NVENC/NVDEC acceleration
- Low-latency POPs in India
- Elastic scaling for events
Transparent & Affordable GPU Pricing – India’s Best Rates
Creator • RTX 4090 (24GB)
₹31,943/mo
₹30,554/mo
₹29,999/mo
₹29,166/mo
₹28,610/mo
₹27,777/mo
Pro • L40S (48GB)
₹51,110/mo
₹48,888/mo
₹47,999/mo
₹46,666/mo
₹45,777/mo
₹44,443/mo
Enterprise • A100 (80GB)
₹1,53,332/mo
₹1,46,665/mo
₹1,43,999/mo
₹1,39,999/mo
₹1,37,332/mo
₹1,33,332/mo
Pricing above are monthly list prices before the 10% promo. “You Pay” reflects triennial after-discount pricing. Final pricing varies by GPU availability, storage, bandwidth, and OS. GST extra. Educational & research discounts available.
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Customers Love HostGraber GPU Cloud
“Render farm on RTX 4090 + L40S is blazing. NVMe I/O and 1–5 Gbps links keep our pipeline flowing without bottlenecks.”
“Great support for TensorRT + FP16 inference. Minor setup hiccup resolved quickly on WhatsApp by their engineers.”
“Lower egress + India DC = serious cost savings. We scaled RAG + embeddings without latency penalties.”
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Enterprise-Grade GPU Cloud. Indian Pricing
GPU Cloud Frequently Asked Questions
Which GPU models are available?
We offer NVIDIA A100 80GB, L40S 48GB, and RTX 4090 24GB. Multi-GPU (NVLink) and dedicated clusters are available on request.
How fast can I get a GPU server?
For in-stock configurations, provisioning is typically 15–60 minutes. Custom multi-GPU and enterprise clusters are delivered same-day or within 24 hours.
What billing options and GST invoicing do you provide?
We support hourly, monthly, and multi-tenure (quarterly, semi-annual, annual, biennial, triennial) plans with GST invoices. Payments via cards, UPI, net banking, or bank transfer.
Where are the servers hosted? Is data residency in India?
All GPU nodes are hosted in our Indian data center with Indian peering. Your data can remain in India to simplify compliance needs.
What’s your SLA and reliability posture?
We provide a 99.99% network uptime SLA, redundant power and cooling, and continuous monitoring with rapid incident response.
Which frameworks and toolchains are supported?
Fully compatible with CUDA/cuDNN, TensorFlow, PyTorch, JAX, RAPIDS, TensorRT, Spark, Dask, Blender, and more.
Do you support multi-GPU and clustering?
Yes. We provide NVLink for intra-node scaling and can deploy multi-node clusters with private VLANs and high-throughput networking.
Which operating systems and hypervisor do you use?
KVM virtualization with full root. Images for Ubuntu LTS, AlmaLinux 8/9, and Windows Server; custom ISOs on request.
How do bandwidth and egress charges work?
Data ingress is free. Egress is priced competitively for India; talk to us for current slabs or commit discounts for steady workloads.
Do you provide snapshots and backups?
Manual snapshots are available; scheduled backups and off-box options can be added to any plan.
Can you help with migration and optimization?
Yes—our engineers provide onboarding, migration, and best-practice tuning for TensorFlow, PyTorch, RAG pipelines, and render stacks.
What is your cancellation policy?
No lock-in for hourly/monthly plans; cancel any time from the client area. Longer tenures follow plan terms—contact us for assistance.
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