The NVIDIA A30 is an Ampere-architecture data centre GPU with 24GB of HBM2 memory and 933GB/s of bandwidth, built for AI inference, data science and HPC in a 165W power envelope. On Host360, A30 instances run inside Indian data centres with full data residency — giving you the memory footprint to serve 7B–13B parameter models, FP64 precision for scientific work, and hardware-level partitioning to split one GPU across four isolated teams.
From early-stage AI startups to Fortune 500 R&D labs.
PLATFORM CHARACTERISTICS
Most teams don't need an H100 to serve a model — they need consistent throughput, enough memory to hold the weights, and a cost line that survives a finance review. The A30 sits precisely there. Third-generation Tensor Cores handle mixed-precision inference, structural sparsity doubles throughput on compatible networks
Enterprise Infrastructure
*Pair GPUs over NVLink at 200 GB/s for larger jobs *Support efficient infrastructure planning. *Meter and chargeback usage by department. *165W envelope for higher rack density and lower power cost *Right-size allocations per team, project or customer *Support business continuity initiatives.
ENVIRONMENT MANAGEMENT
Create structured GPU environments with processes focused on onboarding, administration, service integration, and long-term operational management.
Choose an infrastructure strategy based on organizational maturity, operational goals, and long-term platform objectives.
| Feature | Project-Based ₹160 / hr | Department-Led ₹78,000 / month | Organization-Wide Custom — contact sales |
|---|---|---|---|
| Primary Audience |
CLOUD INFRASTRUCTURE SERVICES
Enhance NVIDIA A30 environments with supporting infrastructure services for connectivity, storage, security, and operational management.
Not a reseller markup on someone else's cloud. Host360 operates its own AI-ready infrastructure inside India.
Every A30 workload runs inside Indian data centres. Full data residency, no cross-border transfer.
Significantly lower GPU compute costs than AWS, Azure and GCP — priced in INR
Start on A30 for inference, analytics. Step up to A100, H100, H200, B200 or GB300 Blackwell configurations
PyTorch, TensorFlow, CUDA, Jupyter and LLM frameworks ready on day one.
Operators who moved inference workloads onto Host360 — and what changed.
200+
Indian operators
99.99%
Monthly uptime
24/7
Named SRE
Frequently asked
NVIDIA A30 is a data center GPU based on the NVIDIA Ampere architecture and designed for AI, inference, and enterprise computing workloads.
Enterprises, cloud providers, technology companies, research organizations, and business teams deploy NVIDIA A30 environments.
Yes. NVIDIA A30 resources can be provisioned through cloud infrastructure for flexible and scalable access.
Yes. Organizations can provide GPU resources across multiple teams and operational environments.
Yes. NVIDIA A30 deployments commonly work alongside networking, storage, security, and management services.
Additional GPU resources can be provisioned as infrastructure requirements grow.
We reply within 2 hrs · IST business hours
Send us your model, throughput target and budget. A Host360 solutions architect will tell you honestly whether A30 is the right fit — or which GPU is. No obligation, no procurement cycle.
100 Gbps networking · NVMe SSD storage · Multi-AZ availability · Pre-installed CUDA, PyTorch, TensorFlow and Jupyter · Indian data centre residency
Support uninterrupted ops.
Scale from a single instance
Scale infrastructure as needed.
Maintain environment visibility.
| Project Owners |
| Department Managers |
| Leadership Teams |
| Growth Pattern | Project Expansion | Team Expansion | Organization Growth |
| Planning Approach | Initiative Planning | Department Planning | Strategic Planning |
| Resource Ownership | Project Resources | Department Resources | Shared Resources |
| Decision Authority | Project Leads | Department Heads | Enterprise Governance |
| Operational Reach | Limited Scope | Functional Scope | Enterprise Scope |
| Deployment Type | — | — | — |
Store application data, backups, archives, and unstructured content with scalable storage.
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.
Karthik Subramanian
“MIG was the unlock. Four risk-modelling teams now share one card with hardware isolation instead of queueing behind each other. Utilisation went from embarrassing to defensible, and audit had no objections to the residency posture."”
Dr. Meera Joshi
“FP64 Tensor Cores mattered more to us than headline AI numbers — our variant-calling pipeline is double-precision throughout. Host360's team benchmarked it with us before we committed to a single rupee of reserved capacity.”
Devansh Bhatia
“Clinical imaging data cannot leave the country, full stop. Host360 gave us in-country A30 capacity, a DPDP-aligned data processing agreement, and an engineer who answered on a Sunday during our launch week.”
Sandeep Nair
“We run dev and staging on A30 and keep the expensive GPUs for production training. Same portal, same billing, one support relationship. That consolidation saved us more admin time than the price difference did.”