Adaptable Compute
Train, infer, and analyze using MIG to partition GPUs for maximum utilization.
Cloud GPU Platform
Starting from ₹90.00/hr
NVIDIA A30 Cloud GPUs — Balanced AI Performance for Training & Inference
NVIDIA A30 GPUs offer the perfect balance of performance, efficiency, and affordability for organizations scaling AI, data analytics, and high-performance computing workloads. Powered by the Ampere architecture, the A30 is designed for training smaller to mid-sized models, fine-tuning, accelerated AI inference, and enterprise-grade HPC tasks without the high cost of flagship GPUs.
NVIDIA A30 GPU Technical Specifications
VRAM
24 GB HBM2
Tensor Performance (FP8)
165 TFLOPS
Compute Performance (FP32)
10 TFLOPS
Memory Bandwidth
933 GB/s
Power Consumption
165 W
The foundation for faster, smarter AI deployment
Performance, agility and predictable scale — without the DevOps drag.
Faster Data Processing
Accelerate ETL and data warehouse operations.
Cost-Efficient AI Training
Ideal for fine-tuning transformers and running analytics workloads efficiently.
Why Businesses Choose Inhosted.ai for NVIDIA H100 GPUs
From model training to real-time inference, enterprises trust Inhosted.ai to deliver the raw power of NVIDIA H100 GPUs — optimized for scalability, security, and seamless deployment.
Enterprise-Grade Versatility
Optimized for AI training, inference, and HPC workloads.
Superior Memory Bandwidth
933 GB/s ensures fast data transfer for deep learning models.
MIG Support
Run multiple workloads securely on a single GPU.
Green AI Compute
Achieve top-tier AI performance at mid-range power consumption.
AMPERE ARCHITECTURE
NVIDIA A30 GPU Servers, Built for Balanced AI and HPC Efficiency
Run modern AI and enterprise workloads with A30 GPUs — delivering powerful FP16/Tensor Core acceleration, 24 GB of HBM2 memory, and multi-instance GPU (MIG) capabilities for optimal resource utilization. The A30 architecture combines exceptional compute throughput and energy efficiency, making it ideal for AI training, inference, and high-performance data analytics.
You know the best part?
We operate our own data center
No middlemen. No shared footprints. End-to-end control of power, cooling, networking and security—so your AI workloads run faster, safer, and more predictably.
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Lower, predictable costs Direct rack ownership, power & cooling optimization, no reseller markups.
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Performance we can tune Network paths, storage tiers, and GPU clusters tuned for your workload.
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Security & compliance Private cages, strict access control, 24×7 monitoring, and audit-ready logs.
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Low-latency delivery Edge peering and smart routing for sub-ms hops to major ISPs.
99.99%Uptime SLA
Tier IIIDesign principles
Multi-100GBackbone links
24×7NOC & on-site ops
Breakthrough AI Performance
The NVIDIA A30 sets new performance benchmarks in deep learning, accelerating training and inference for today’s most demanding AI and HPC workloads. Experience next-level scalability, power efficiency, and intelligent throughput with Transformer Engine innovation.
3×
Faster training vs V100 for AI and HPC
1.5×
Higher inference throughput vs A100 MIG
165 W
Typical power usage for sustainable data centers
99.95%
Guaranteed uptime on Inhosted.ai
Top NVIDIA A30 GPU Server Use Cases
Where the NVIDIA A30 transforms workloads into breakthroughs — from AI model training to large-scale data analytics, scientific simulations, and enterprise inference acceleration.
AI Model Training
A30 servers accelerate AI model development with exceptional efficiency and performance. Designed for FP16 and TF32 mixed-precision training, they enable researchers to train deep learning models faster while consuming less power. The A30’s architecture supports larger batch sizes and smoother scaling across GPUs, helping teams achieve faster convergence and shorter iteration cycles for production-grade AI models.
Real-Time Data Analytics
Process and analyze streaming or batch data with accelerated query performance and minimal latency. The A30 GPU brings parallel computing power to data-driven applications like anomaly detection, log analysis, and recommendation engines. Its optimized Tensor Cores deliver high throughput for database and analytics workloads, enabling faster insight generation and smarter decision-making in real time.
High-Performance Computing (HPC)
A30 GPUs are optimized for scientific computing and engineering simulations, delivering breakthrough performance for HPC clusters. From molecular dynamics to financial modeling, A30’s Tensor Core architecture provides superior floating-point performance and memory bandwidth. With support for NVLink and multi-GPU scaling, researchers can solve complex problems faster and more efficiently, even on constrained infrastructure.
Natural Language Processing
Empower large-scale language models, chatbots, and translation systems with A30’s robust Tensor Core performance. The GPU accelerates both training and inference for NLP applications — enabling faster token generation, semantic search, and RAG-based conversational models. Enterprises can handle multilingual workloads with improved throughput, reduced latency, and enhanced model accuracy.
Computer Vision & Generative Media
From object detection and segmentation to video rendering and image synthesis, A30 GPUs provide the ideal balance of compute power and efficiency. The architecture delivers consistent performance for AI-driven media pipelines, including automated inspection, AR/VR content generation, and digital twins. Creative teams benefit from faster model execution and seamless scalability for real-time applications.
Recommenders & Personalization
A30 servers enable faster recommendation engines and customized content delivery across retail, media, and SaaS applications. With Tensor Cores tuned for inference acceleration, they power real-time product ranking, ad optimization, and user-behavior modeling. This results in improved click-through rates, retention, and more relevant personalization — all at a lower operational cost.
Shaping the Future of AI Infrastructure — Together.
At inhosted.ai, we empower AI-driven businesses with enterprise-grade GPU infrastructure. From GenAI startups to Fortune 500 labs, our customers rely on us for consistent performance, scalability, and round-the-clock reliability. Here's what they say about working with us.
Join Our GPU Cloud
Aman S.
★★★★★
✔ Verified Testimonial
“Switching to A30 cut our AI training time by 60% and lowered cost by 30%.”
Sweksha S.
★★★★★
✔ Verified Testimonial
“Our data pipelines run 2× faster — A30 is a true workhorse GPU.”
Vikram T.
★★★★★
✔ Verified Testimonial
“MIG feature lets us run multiple jobs without interference — excellent for DevOps teams.”
John S.
★★★★★
✔ Verified Testimonial
“Inhosted.ai made enterprise AI simple — great support and predictable pricing.”
Shreya R.
★★★★★
✔ Verified Testimonial
“The A30 GPU is our go-to for training and analytics — amazing balance of speed and cost.”
Tina S.
★★★★★
✔ Verified Testimonial
“Perfect solution for AI startups scaling from experiment to production.”
John S.
★★★★★
✔ Verified Testimonial
“Inhosted.ai made enterprise AI simple — great support and predictable pricing.”
Shreya R.
★★★★★
✔ Verified Testimonial
“The A30 GPU is our go-to for training and analytics — amazing balance of speed and cost.”
Tina S.
★★★★★
✔ Verified Testimonial
“Perfect solution for AI startups scaling from experiment to production.”
Aman S.
★★★★★
✔ Verified Testimonial
“Switching to A30 cut our AI training time by 60% and lowered cost by 30%.”
Sweksha S.
★★★★★
✔ Verified Testimonial
“Our data pipelines run 2× faster — A30 is a true workhorse GPU.”
Vikram T.
★★★★★
✔ Verified Testimonial
“MIG feature lets us run multiple jobs without interference — excellent for DevOps teams.”
Frequently Asked Questions
What is the NVIDIA A30 best for?
Balanced AI training and inference for enterprise and research applications.
Does A30 support multi-instance GPU (MIG)?
Yes, allowing partitioning into up to 7 isolated instances per GPU.
How energy-efficient is A30?
At 165 W, it delivers superb efficiency for large data centers and AI labs.
Can I use A30 for data analytics and ETL processing?
Absolutely — its bandwidth and Tensor Cores accelerate data-intensive pipelines.
Why Choose to deploy A30 GPU instances with inhosted.ai?
Because we are Tier 3 infrastructure, ISO certifications, and clear billing ensure a trusted enterprise experience.