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Enterprise GPU infrastructure for AI/ML training, LLM fine-tuning, and inference in Mumbai & Bangalore. Deploy 4-16× H100/A100 clusters with NVLink, Kubernetes, and 100 Gbps networking.
Pre-configured GPU clusters optimized for AI/ML workloads. Custom multi-node setups available.
Billed monthly
4× NVIDIA A100 80GB
NVLink Enabled
AMD EPYC 7543 (32 Cores)
512 GB DDR4 ECC
8 TB NVMe SSD
100 Gbps RDMA
Ideal For
Fine-tuning, Inference, Small LLMs
Billed monthly
8× NVIDIA H100 80GB
NVLink Enabled
Dual AMD EPYC 9654 (192 Cores)
2 TB DDR5 ECC
20 TB NVMe SSD
400 Gbps NVLink + RDMA
Ideal For
Large LLM Training, Multi-GPU Workloads
Contact for pricing
16× NVIDIA H100 80GB
NVLink Enabled
Quad AMD EPYC 9654 (384 Cores)
4 TB DDR5 ECC
40 TB NVMe SSD
800 Gbps NVLink + RDMA
Ideal For
Foundation Models, Distributed Training
Need multi-node distributed training? 32+ GPU clusters?
We design custom HPC clusters with InfiniBand, shared storage (Lustre/BeeGFS), and Slurm orchestration.
Talk to HPC architects →From LLM training to real-time inference, our GPU infrastructure handles demanding AI/ML tasks.
Train large language models or fine-tune foundation models like Llama, GPT, Mistral on your proprietary data.
Deploy production inference endpoints for chatbots, RAG systems, and real-time AI applications.
Image/video processing, 3D rendering, Stable Diffusion, and real-time video analytics at scale.
Molecular dynamics, climate modeling, financial simulations requiring massive parallel compute.
Dedicated H100/A100 clusters cost significantly less than AWS p5/GCP a3 instances for sustained AI workloads. No virtualization tax, no egress fees.
Training on Indian language data, regional content, or APAC datasets? Keep data and compute in the same region for 10x faster data loading.
Train proprietary models on Indian soil. Full control over data, no shared tenancy, ISO 27001 certified facilities.
vs 18+ hours on 8×A100
on single H100
Time to first token (TTFT)
Inter-GPU communication
Is the H100 worth 3x the price of A100? We trained Llama 2 70B on both. See the results and TCO analysis.
Read Benchmark ReportCommon questions about H100/A100 GPU hosting in India
We currently offer NVIDIA A100 80GB and H100 80GB GPUs in our Mumbai and Bangalore facilities. A40 and L40S are available on request. All GPUs are enterprise-grade with full NVIDIA support and warranty.
Standard A100 configs (4-8 GPUs) deploy in 48-72 hours. H100 clusters require 5-7 days due to hardware availability. Custom multi-node clusters (16+ GPUs) typically take 10-14 days. We'll provide exact timelines when you submit requirements.
Yes. We can pre-configure Kubernetes with NVIDIA GPU Operator, or you can deploy your own orchestration. We support Docker, Kubernetes, Slurm, and Ray clusters. Managed Kubernetes available as an add-on.
All H100 configs include NVLink (900 GB/s inter-GPU) and RDMA-capable 100-400 Gbps networking. For distributed training across nodes, we provide InfiniBand or RoCE v2 with GPUDirect RDMA support.
Yes, all our GPUs are licensed for commercial use. You own your models and data. We provide infrastructure only. Ensure your AI frameworks (PyTorch, TensorFlow) and model licenses permit commercial deployment.
Price includes: GPU hardware, CPU, RAM, NVMe storage, 100 Gbps network, DDoS protection, hardware support, and power/cooling. OS installation and basic setup included. Managed services (monitoring, patching) available separately.
Currently we offer monthly contracts only (minimum 1 month). Annual contracts receive 15% discount. For short-term POCs (<1 month), contact sales for custom arrangements. Spot/preemptible instances planned for Q2 2026.
Our dedicated H100 clusters are typically 40-60% cheaper than equivalent p5/a3 instances on AWS/GCP for sustained workloads (>100 hrs/month). You get bare metal performance without virtualization overhead. We can provide detailed TCO comparison for your use case.
We offer pre-configured images with: CUDA 12.x, cuDNN, PyTorch, TensorFlow, JAX, Transformers, vLLM, DeepSpeed, Megatron-LM. Or bring your own environment. We support Ubuntu 22.04, Rocky Linux 9, and custom OS images.
Yes, we have dedicated 100 Gbps private links between our Mumbai and Bangalore facilities. Latency is ~8ms. Ideal for distributed training or multi-region inference deployments.
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