Launch Your Workloads Quickly
Cloud-based GPU resources help you to get your model training, testing workloads and scaling started quickly without physical GPU infrastructure setup.
Cloud GPU Platform
Starting from ₹170.00
NVIDIA A100 Price in India for AI Training & GPU Cloud
The NVIDIA A100 targets enterprises, organizations, researchers, and software developers who need high performance GPU computing for deep learning, LLMs, analytics, simulations, and high-performance computing workloads. It leverages the capabilities of NVIDIA Ampere architecture for high performance on intensive AI and data workloads without setting up costly physical GPU infrastructure
NVIDIA A100 GPU Technical Specifications
VRAM
80 GB HBM2e with ECC
Tensor Performance (FP16)
1,248 TFLOPS
Compute Performance (TF32)
Up to 624 TFLOPS
Memory Bandwidth
2.0 TB/s
NVLink / Interconnect
600 GB/s Bidirectional (per GPU, NVLink)
Our A100 GPU Designed for Fast AI Development and Smart Scaling
Inhosted.ai provides you A100 GPU infrastructure for enterprise-grade AI workloads.
Fast and Stable Performance
The NVIDIA A100 GPU is suitable for AI training, analytics, and HPC workloads with fast memory and consistent high performance.
Better Control and Monitoring
Inhosted.ai provides you secure workloads access, monitoring, role-based access control, and dedicated assistance for better insights into GPU workload performance.
NVIDIA A100 Price and its Properties
Enterprises evaluate NVIDIA A100 GPUs price, performance, availability, and technical support before getting their GPU resources. With Inhosted.ai services, it will become easier for enterprises to get their A100 GPU resources without complexities involved.
Powerful Performance for AI and Deep Learning
The A100 is a great option for businesses running large AI models, computer vision tasks, natural language processing, recommendations engines, and data science projects. The A100 helps shorten training time, accelerate model development processes, and optimize the workflow.
A Practical Alternative to Buying Hardware
Many businesses actively look for NVIDIA A100 price. However, purchasing physical hardware involves considerable capital expenses, setting up servers, installing power and cooling solutions, maintaining hardware, and performing timely upgrades. With cloud GPU access, businesses are more flexible and can access the GPU resources based on the specific demands of particular projects.
Secure Infrastructure for Sensitive Workloads
Some AI workloads involve confidential business data, research data, customers' personal information, or proprietary models. Inhosted.ai can provide you with secured infrastructural solutions that will help you run your AI-related projects securely.
Predictable Cloud Access and Expert Support
Instead of handling complicated hardware-related issues, you will enjoy consistent cloud GPU access, expert support, and scalable resources. These capabilities will make Inhosted.ai a perfect solution for startups, enterprises, R&D centers, and AI-driven businesses who seek faster deployment and no hassle with infrastructure setup.
Ampere Architecture
A100 GPU Price for Enterprise AI Infrastructure
The A100 NVIDIA platform ensures fast performance, stability, and scalability while combining memory, computational power, and scalability. The technology is recommended for those who need improved performance, stability, and fast AI training and inference on massive amounts of data.
While comparing A100 GPU prices, companies consider not just the price per hour or upfront hardware cost. They also take into account setup duration, server management costs, power consumption, cooling, maintenance, and scalability. Inhosted.ai can eliminate the majority of operational difficulties by enabling access to pre-configured A100 cloud GPU servers.
In case you wonder about A100 GPU price, cloud access might be a more cost-efficient option in case of periodic, experimental, projected-based or fast-scaling workloads. In case your needs change in terms of performance, you can adjust resources according to your current situation.
You know the best part?
Own Controlled Data Center Infrastructure
We own controlled data center infrastructure to offer you faster, safer, and more predictable AI workloads performance.
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Lower, Predictable Costs Direct infrastructure control, optimized power and cooling, and fewer third-party layers.
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Performance We Can Tune Network, storage, and GPU resources adjusting for demanding AI workloads.
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Security & compliance Controlled access, strong monitoring secure facilities, and audit-ready operational logs.
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Low-latency delivery Optimized routing and reliable connectivity for faster AI workloads access.
99.99%Uptime SLA
Tier IIIDesign principles
Multi-100GBackbone links
24×7NOC & on-site ops
Breakthrough AI Performance with NVIDIA A100
The NVIDIA A100 80GB price is often the main factor in consideration for businesses needing significant memory capacity for their AI training needs, LLM workloads, simulations, and other applications that require substantial amounts of data. The NVIDIA A100 80GB price option is especially handy for large batches, more extensive datasets, and advanced architectures.
4×
Faster model training vs previous gen on mixed precision
7×
Higher inference throughput with MIG partitioning
80GB
High-bandwidth HBM2e for large batch sizes
99.95%
Uptime on Inhosted.ai GPU cloud
Top NVIDIA A100 GPU Server Use Cases
This GPU solution by NVIDIA is best suited for professionals who require high-end computational power for real business and scientific workloads. Whatever you need, whether IT model training or scientific simulations, NVIDIA A100 can help cut down on your processing time.
AI Model Training
A100 NVIDIA help accelerate training large language models, computer vision models, generative AI architectures, and other advanced models. Businesses can save time and increase efficiency by reducing training cycles.
Machine Learning and Data Science
Data science projects may take advantage of A100 cloud GPU to engineer features, test different models, process data, and apply predictive analytics. In turn, the business gets enhanced project speed without relying solely on the CPUs.
High-Performance Computing
In cases where scientific research, engineering simulations, financial modeling, and other complex calculations are required, A100 allows teams to execute heavy loads effectively, ensuring faster and more reliable operations.
Natural Language Processing
NLP applications like chatbots, summarization, translation, embedding, RAG pipelines, and other tasks involving large amounts of text can be optimized using A100. This improves performance and streamlines development of AI-based applications.
Computer Vision and Generative AI
Companies can deploy A100 on tasks like image recognition, video analysis, object detection, content generation, media processing, and so on. The memory and computational capabilities make A100 ideal for large-scale, creative, and analytical workloads.
Recommendation Engines
Organizations in retail, media, SaaS, and other industries can utilize A100 for recommendation engines and other AI-powered models that involve personalization and inferencing at scale.
NVIDIA DGX A100 Alternative for Cloud-Based GPU
NVIDIA DGX A100 is an excellent enterprise AI solution, although it is costly and requires infrastructure and maintenance planning. For most companies, accessing GPU capacity in the cloud is more practical than purchasing the whole GPU platform.
Join Our GPU Cloud
Aldo P.
★★★★★
✔ Verified Testimonial
"inhosted.ai helped us move GPU workloads in seconds. Uptime has been rock-solid, and performance consistent across regions — exactly what we needed for live inference."
Neha B.
★★★★★
✔ Verified Testimonial
"Best experience we’ve had with GPU cloud. Instant spin-ups, clear billing, and quick support. Our vision models deploy faster and stay within budget."
Rahul S.
★★★★★
✔ Verified Testimonial
"We run multi-region inference and scheduled retraining on inhosted.ai. Scaling from 10 to 400+ GPUs takes minutes, networking is consistent, and storage hits the throughput we need."
Leena G.
★★★★★
✔ Verified Testimonial
"Training times dropped and costs stayed predictable. The support team was proactive throughout deployment."
Aarav D.
★★★★★
✔ Verified Testimonial
"Migrating our LLM training stack to inhosted.ai gave us a 3× throughput boost. H100 clusters came online in seconds and billing stayed predictable. We cut project timelines by weeks."
Priya M.
★★★★★
✔ Verified Testimonial
"Predictable pricing, high GPU availability, and fast storage — we ship models faster with fewer surprises."
Leena G.
★★★★★
✔ Verified Testimonial
"Training times dropped and costs stayed predictable. The support team was proactive throughout deployment."
Aarav D.
★★★★★
✔ Verified Testimonial
"Migrating our LLM training stack to inhosted.ai gave us a 3× throughput boost. H100 clusters came online in seconds and billing stayed predictable. We cut project timelines by weeks."
Priya M.
★★★★★
✔ Verified Testimonial
"Predictable pricing, high GPU availability, and fast storage — we ship models faster with fewer surprises."
Aldo P.
★★★★★
✔ Verified Testimonial
"inhosted.ai helped us move GPU workloads in seconds. Uptime has been rock-solid, and performance consistent across regions — exactly what we needed for live inference."
Neha B.
★★★★★
✔ Verified Testimonial
"Best experience we’ve had with GPU cloud. Instant spin-ups, clear billing, and quick support. Our vision models deploy faster and stay within budget."
Rahul S.
★★★★★
✔ Verified Testimonial
"We run multi-region inference and scheduled retraining on inhosted.ai. Scaling from 10 to 400+ GPUs takes minutes, networking is consistent, and storage hits the throughput we need."
Frequently Asked Questions
What is the NVIDIA A100 price in India?
The NVIDIA A100 price in India depends on the GPU configuration, cloud resources, storage, and deployment requirements. Businesses using NVIDIA A100 GPUs for AI training, deep learning, LLM deployment, and HPC workloads can choose hourly or monthly pricing models based on performance needs. Cloud-based NVIDIA A100 GPU hosting is often more cost-effective than purchasing dedicated hardware, especially for scalable AI and enterprise computing environments.
How much does it cost to rent an NVIDIA A100 GPU?
The cost to rent an NVIDIA A100 GPU varies depending on GPU memory, usage duration, bandwidth, and infrastructure configuration. Most cloud providers offer flexible hourly and monthly pricing plans for AI training, machine learning, inference, and generative AI workloads. Renting NVIDIA A100 GPU cloud servers allows businesses and developers to access enterprise-grade GPU performance without investing heavily in on-premise infrastructure or hardware maintenance costs.
Is NVIDIA A100 good for AI training and LLM workloads?
Yes, the NVIDIA A100 GPU is one of the most powerful GPUs for AI training, deep learning, and large language model workloads. It is designed to handle massive datasets, high-speed computations, and advanced AI frameworks efficiently. NVIDIA A100 GPUs are widely used for generative AI, transformer models, NLP, computer vision, and high-performance computing applications due to their powerful tensor cores, scalability, and enterprise-grade performance capabilities.
What is the difference between NVIDIA A100 40GB and 80GB pricing?
NVIDIA A100 40GB and 80GB GPU pricing mainly differs because of memory capacity and workload performance capabilities. The 80GB variant is better suited for large AI models, LLM training, and memory-intensive applications, making it more expensive than the 40GB version. Businesses running advanced deep learning or enterprise AI workloads often choose A100 80GB GPUs for improved scalability, faster processing, and better performance in large-scale computing environments.
NVIDIA A100 vs H100: Which GPU offers better value?
NVIDIA A100 and H100 GPUs are both designed for AI and HPC workloads, but they serve different performance requirements and budgets. The NVIDIA A100 offers excellent value for AI training, inference, and enterprise GPU cloud deployments, while the H100 delivers higher performance for advanced LLMs and large-scale generative AI workloads. Businesses looking for cost-effective AI infrastructure often choose NVIDIA A100 GPUs because of their balanced pricing and strong computational performance.
Why choose NVIDIA A100 GPU cloud over RTX 4090?
NVIDIA A100 GPU cloud servers are designed for enterprise AI workloads, large-scale deep learning, and high-performance computing applications, whereas RTX 4090 GPUs are primarily built for gaming and workstation tasks. NVIDIA A100 GPUs provide advanced tensor cores, ECC memory, better scalability, multi-instance GPU support, and optimized performance for AI training and inference. Businesses working on LLMs, generative AI, and enterprise AI applications often prefer NVIDIA A100 cloud infrastructure for reliability and scalability.
