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Get On-Demand GPU Power With Zero Hardware Costs or Complexity
Get instant access to powerful NVIDIA and AMD GPU servers engineered for AI, ML, analytics and high-performance computing - without managing hardware or dealing with complexity.
Enterprise GPU performance that scales from a single instance to full production clusters without the complexity.
Accelerate AI training, inference, rendering, and data workloads with industry-leading NVIDIA and AMD GPUs.
Scale from a single GPU to multi-GPU clusters instantly as your workloads grow.
Enjoy automatic updates, monitoring, and enterprise-grade security without any manual effort.
Pay only for the GPU power you use with transparent, predictable pricing.
Access enterprise-grade GPUs with pricing that adapts to your workload - from single-GPU testing to large multi-node clusters.
Access powerful NVIDIA and AMD GPUs like A100, H100, RTX-class, and AMD Instinct MI300X/MI325X cards engineered for high-performance AI, ML, and rendering workloads.
Train, fine-tune, and run complex models at exceptional speed with infrastructure optimized specifically for modern AI frameworks.
Multi-Node Clusters Provisioned in Minutes Spin up single-GPU instances or multi-node clusters via API or dashboard no procurement lead time, no manual rack-and-stack.
Experience ultra-fast data access and high-throughput connectivity ideal for large datasets, batch training, and real-time inference pipelines.
Choose per-hour billing for short training runs or fixed monthly plans for sustained workloads — switch anytime with no lock-in penalty.
ICSDC's infra team handles OS patching, driver updates, and 24/7 performance monitoring, with alerts before issues affect your workloads.
Each GPU instance runs in an isolated network namespace with AES-256 encryption at rest, so multi-tenant workloads stay fully segregated for compliance audits.
Run everything from LLMs and computer vision to scientific computing, simulations, and large-scale data analytics.
Deploy GPU workloads across global datacenters and rely on round-the-clock expert support for uninterrupted performance.
Real-time GPU utilization, VRAM usage, and temperature monitoring to proactively optimize training jobs and catch bottlenecks before they slow you down.
Secure, passwordless authentication for safe access to your GPU instances spin up a Jupyter or SSH session into your training environment in seconds.
Reliable, scheduled backups of your datasets and model checkpoints, with instant recovery so long training runs are never lost to failure.
Scalable, cost-efficient storage designed for AI datasets, logs, media files, and unstructured data.
High-performance NVMe block storage ideal for databases, applications, and large training workloads.
Intelligent traffic distribution across multi-GPU inference endpoints, ensuring high availability and consistent response times under heavy model load.
Point-in-time snapshots of your GPU instance for instant rollbacks, model checkpoint recovery, or cloning a configured training environment.
Advanced network-level protection securing your GPU workloads from threats and unauthorized access.
Businesses, startups, and developers across India and beyond trust ICSDC GPU Cloud for unmatched speed, reliability, and transparent pricing. Whether you're training LLMs, running simulations, or processing large-scale AI workloads - ICSDC gives you the power and flexibility to move fast.
Deploy your preferred OS instantly on any GPU instance - Ubuntu, CentOS, Windows Server, or a custom build, ready in minutes.
Launch pre-optimized AI frameworks and tools - PyTorch, TensorFlow, Docker, and more - with a single click, no manual setup required.
Upload your own OS or training-environment images to replicate configurations, migrate from another provider faster, and scale new GPU instances effortlessly.
Popular OS & Dev Stacks Supported
Benefit from enterprise-class GPU performance delivered through ICSDC's partnerships with top-tier Tier III & Tier IV datacenters. Our GPU lineup supports everything from deep learning and LLM training to HPC simulations, rendering, and large-scale analytics—ensuring unmatched speed, stability, and scalability.
Built for extreme-scale AI, the MI355X delivers class-leading HBM3e memory capacity for training and running the largest LLMs and datasets without offloading to slower storage.
NVIDIA's latest Blackwell-generation GPU, purpose-built for training and serving next-gen generative AI models at multi-node cluster scale.
High memory-per-GPU accelerators tuned for efficiency - ideal where HPC simulation and deep learning workloads need maximum throughput per watt.
A unified CPU+GPU superchip that eliminates data-transfer bottlenecks - built for large-scale LLM training and inference where memory bandwidth is the limiting factor.
The most widely deployed AI training GPUs available - proven Tensor Core performance for foundation model training, fine-tuning, and HPC pipelines at scale.
The most battle-tested GPU in production AI today - a reliable, cost-effective choice for teams running established PyTorch/TensorFlow training pipelines.
The dual-purpose choice for teams that need both AI inference and photorealistic rendering on the same GPU - no need to provision separate hardware for each.
Built for professional visualization workloads - CAD, 3D modeling, and simulation - with enough compute headroom to run AI-assisted design tools alongside.
Every GPU available on ICSDC is deployed in redundant, secure, and performance-optimized data centers. This ensures:
With ICSDC, your GPU workloads run on infrastructure engineered for mission-critical operations.
Automated Protection & Simplified Management - Set custom retention policies for backups and snapshots, with network rules that auto-adjust as you scale from one GPU to a full cluster.
Provision, scale, and manage your GPU and compute instances using our powerful API or Terraform integrations - perfect for teams that automate cloud workflows at scale.
Ensure your applications load faster worldwide through our high-speed content acceleration network, engineered for low latency and consistent user experience across continents.
Advanced DDoS Defense - Multi-layered L3/L4 mitigation with real-time traffic scrubbing, so GPU training jobs and inference endpoints stay online during volumetric attacks.
Easily announce and operate your own IP ranges across ICSDC's global Tier III & IV data center ecosystem, giving enterprises full control over routing and network identity.
Your data stays in-country with zero cross-border latency, and your support tickets are answered by engineers in your timezone - not routed through a global queue.
Run NVIDIA and AMD Instinct GPUs side by side without splitting workloads across separate providers or locking your roadmap to a single vendor's hardware cycle.
What you see on the pricing table is what you pay - no surprise data-transfer charges or commitment tiers designed to lock you in once you've migrated.
Unlike general-purpose cloud platforms adapting VMs for GPU use, ICSDC's environments are pre-configured for PyTorch, TensorFlow, CUDA, and JAX from first boot.
No enterprise-only minimums and no consumer-grade caps - ICSDC scales from a single GPU proof-of-concept to production clusters without forcing a plan change.
Talk to an actual solutions engineer about your workload before you commit - not a sales bot or a self-serve form that leaves sizing guesswork to you.
High-demand GPUs like the H100 and B200 are frequently capacity-constrained on major clouds. ICSDC maintains dedicated inventory so your project timeline doesn't depend on someone else's queue.
Bring your existing Docker images, Terraform scripts, or trained model checkpoints - ICSDC is built to slot into workflows you've already set up elsewhere, not force a rebuild.
Skip the capital commitment of buying and racking your own GPU hardware - get bare-metal-equivalent performance on a cloud billing model, with none of the procurement lead time or depreciation risk.
No quota requests, no approval queues, no waitlists for high-demand GPUs. Spin up an A100 or H100 instance in minutes - not the days-long provisioning cycles common with AWS, Azure, or GCP.
Perfect for model training, LLM fine-tuning, experimentation, and large-scale inference requiring high-performance GPU compute.
Ideal for running complex analytics workloads, real-time data processing, and large dataset computations with accelerated performance.
A great fit for scientific simulations, computational research, genomics, physics, climate modeling, and deep learning projects.
Empowers early-stage teams with affordable, scalable GPU resources - no hardware investment required.
Supports AI pipelines, HPC environments, advanced analytics, and demanding production workloads across industries.
Easily spin up GPU instances for testing, development, CI/CD pipelines, and rapid prototyping.
Accelerate 3D rendering, motion graphics, visual simulations, and content creation workflows with low-latency GPU infrastructure.
Ideal for CAD, VDI, remote workforce setups, and graphics-heavy applications that require stable, high-performance GPU desktops.
Automate GPU provisioning into your CI/CD pipelines via API or Terraform - spin up training environments on demand and tear them down the moment a job completes.
Extend on-prem compute with burstable GPU capacity in the cloud - offload peak training or rendering workloads without a full infrastructure migration.
Enterprise-grade GPU hosting from ₹9,999/month. NVIDIA A100, H100, and AMD Instinct on demand.