Production-ready A100 80GB Tensor Core GPUs for AI training, LLM fine-tuning, inference and HPC — on sovereign Indian infrastructure, without capex or long procurement cycles.
From early-stage AI startups to Fortune 500 R&D labs.
PLATFORM CHARACTERISTICS
The NVIDIA A100 is the flagship data-center GPU of NVIDIA's Ampere generation, purpose-built to accelerate AI training, inference and high-performance computing. On Host360, you get A100 capacity as on-demand cloud instances or dedicated bare-metal — pre-loaded with your AI stack and running entirely within Indian data centres.
*1–8 GPUs per server — scale from a single A100 to a full node *Up to 128 CPU cores — keep GPUs fed, no bottlenecks *Up to 2TB RAM — handle large datasets in memory *NVMe SSD arrays — high-throughput local storage *100 Gbps connectivity — fast data movement across the cluster *Pre-built AI stack — PyTorch, TensorFlow, CUDA, Jupyter
Support multiple business units.
SERVICE ACTIVATION
Establish enterprise GPU environments through structured onboarding, configuration, administration, and lifecycle management processes.
Choose an operational model based on management preferences, organizational requirements, and infrastructure ownership.
| Feature | Self-Managed ₹160 / hr | Collaborative Management ₹78,000 / month | Fully Managed Custom — contact sales |
|---|---|---|---|
| Administrative Responsibility |
40% avg cloud cost reduction · 3× faster AI deployment · 99.99% uptime · 60% less ops overhead.
Every A100 workload runs inside Indian data centres. Full data residency, no cross-border exposure.
INR pricing, no forex risk, no egress surprises vs. AWS, Azure and GCP.
A100, H100 and B200 on cloud or bare-metal, with no capex or long procurement cycles.
PyTorch, TensorFlow, CUDA, Jupyter and LLM frameworks ready on day one.
Production quotes from AI, fintech and research teams running A100 capacity in Indian data centres.
200+
Indian operators
99.99%
Monthly uptime
24/7
Named SRE
Frequently asked
Learn about NVIDIA A100 cloud infrastructure, deployment models, and enterprise GPU environments.
NVIDIA A100 is a data center GPU built on the NVIDIA Ampere architecture for accelerated computing and enterprise workloads.
Enterprises, research organizations, cloud providers, technology companies, and engineering teams commonly use NVIDIA A100 environments.
Yes. NVIDIA A100 resources can be provisioned through cloud infrastructure for flexible access and operational scalability.
Yes. Teams can operate within shared infrastructure environments while maintaining separate projects and workflows.
Yes. Organizations use NVIDIA A100 infrastructure to support a wide range of accelerated computing requirements.
Yes. NVIDIA A100 deployments commonly integrate with networking, storage, monitoring, and security services.
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Sovereign A100 capacity for AI training, fine-tuning, inference and HPC — on-demand or dedicated, backed by a 99.99% SLA and engineers who understand AI workloads.
Assign resources to initiatives.
Monitor infra utilization.
Manage user permissions.
| Internal Teams |
| Joint Teams |
| Provider Teams |
| Operational Involvement | High | Moderate | Minimal |
| Change Management | Customer Driven | Coordinated | Provider Managed |
| Technical Support | On Request | Shared Support | Managed Support |
| Maintenance Activities | Internal Operations | Shared Operations | Provider Operations |
| Environment Updates | Customer Scheduled | Coordinated Updates | Managed Updates |
| Deployment Type | — | — | — |
On-demand cloud for bursts, dedicated bare-metal for sustained runs — same portal, same support.
Cloud engineers who understand AI workloads, backed by a 99.99% uptime SLA.
“Genomics workloads spike hard. A reserved A100 base plus on-demand burst means we only pay for peak when we're actually sequencing — and it all stays on sovereign Indian infrastructure.”
Meera Krishnan
“Our risk models need double-precision, and the A100's FP64 throughput handles Monte Carlo runs inside the window our desk demands. RBI-aligned audit trails were ready out of the box.”
Rahul Bhatia
“MIG was the unlock. We split each A100 into isolated instances so our inference and research teams share the same cards instead of us buying more. DPDP-ready compliance sealed the decision.”
Rohan Desai
“DPDP Act readiness was the deal-breaker. HOST360 had a dated compliance brief, a CERT-In auditor on file, and the data-residency posture was answerable down to the rack.”