Introduction
The NVIDIA A100 price in 2025 remains an important subject of discussion for data centers, AI researchers, and high-performance computing (HPC) fans. With the NVIDIA Tesla A100, H100, and RTX 4090, selecting a GPU to match your workload has plenty of choices, which requires demanding comparisons of unit specifications, pricing, and their respective roles.
Now, we will review the NVIDIA A100 80GB, focusing especially on how it differs from H100 and the more consumer-friendly grade parts RTX 4090. We will also find out which configuration, most notably the DGX A100 system, achieves the lowest cost-to-value ratio for enterprise-grade applications.
NVIDIA A100 80GBs Price Update and Overview in 2025
The NVIDIA A100 80GB GPU is a beast in AI, machine learning, analytics, and pretty much any scientific work because it utilizes the Ampere architecture. The NVIDIA A100 80GB price 2025 is between $9,500 and $14,000 depending on the vendor, new or refurbished condition, and accompanying hardware like active or passive cooling options.
Many users purchase the NVIDIA DGX A100 system board with 8x A100 GPUs and 640GB of HBM2e memory for enterprise-level use. Due to an advanced AI infrastructure NVIDIA DGX A100 640GB price between $149,000 to $199,000 which make it a premium investment in 2025.
Key Specifications Chart of NVIDIA A100 80GB Tensor Core GPU
| Specification | NVIDIA A100 80GB |
| Architecture | Ampere |
| Memory | 80 GB HBM2e |
| Tensor Cores | 432 (3rd Gen) |
| FP64 Performance | 9.7 TFLOPs |
| FP32 Performance | 19.5 TFLOPs |
| FP16 / BF16 Performance | 312 TFLOPs |
| NVLink Bandwidth | 600 GB/s |
| TDP | 400W |
| Form Factor | PCIe / SXM4 |
The NVIDIA A100 Tensor Core GPU is superior in multi-instance GPU (MIG) capability, also multiple workloads can run on a single GPU. This makes it ideal for shared resources in cloud and data canter infrastructures.
Feature Comparison of NVIDIA A100 vs. H100 vs. RTX 4090
Choosing between NVIDIA A100, H100, and RTX 4090 solely depends on your workload requirement. Here is a comparison table of A100 vs. H100 vs. RTX 4090.
| Feature / GPU | NVIDIA A100 80GB | NVIDIA H100 80GB | RTX 4090 24GB |
| Architecture | Ampere | Hopper | Ada Lovelace |
| Memory | 80 GB HBM2e | 80 GB HBM3 | 24 GB GDDR6X |
| Tensor Cores | 432 (3rd Gen) | 528 (4th Gen) | 576 (4th Gen) |
| FP32 Performance | 19.5 TFLOPs | 30 TFLOPs | 83 TFLOPs |
| FP16 Performance | 312 TFLOPs | 700+ TFLOPs | 330 TFLOPs |
| PCIe / SXM4 Support | Yes | Yes | PCIe Only |
| Intended Use | Data Center, AI | Advanced AI/ML | Gaming & Pro Workloads |
| Estimated 2025 Price | $10,000–$14,000 | $25,000–$35,000 | $1,600–$2,200 |
NVIDIA A100 vs H100
- The NVIDIA H100 outperforms the A100 in most benchmarks with its new Hopper architecture, HBM3 memory, and better energy efficiency.
- However, the NVIDIA A100 vs H100 has a significant price margin, making it more suitable for undemanding workloads that don’t require cutting-edge technologies.
NVIDIA A100 vs RTX 4090
- The Nvidia A100 excels in executing multiple AI and data tasks simultaneously owing to the HBM2e memory and NVLink capabilities in addition to system-wide bus interfaces on the chip.
- In comparison, RTX 4090 is unrivalled in offering the best return on investment in deep learning inferencing, gaming, creative application for individual professionals
Who Should Buy the NVIDIA A100 80GB in 2025?
The NVIDIA A100 system board has many applications. It is strikingly advantageous for system integrators and data center managers who direct the creation of scalable AI clusters. Here is the list of those who should buy the NVIDIA A100 80GB in 2025.
It is ideal for model training in natural language processing, computer vision, and generative AI.
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High-Performance Computing (HPC)
It is well-suited for scientific simulations, weather predictions and bioinformatics analysis.
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Cloud and Shared Environments
The NVIDIA A100 80 GB is best for supporting MIG and helps to enable concurrent parallel execution of isolated workloads.
Nvidia A100 provides excellent power versus performance value for consistent deployment across nodes.
What Makes the NVIDIA Tesla A100 Unique?
NVIDIA A100 is its official name, but it is often referred to as NVIDIA Tesla A100 is still commonly used especially in enterprise discussions. The Tesla A100 branding refers to the SXM4 form factor and its performance optimization for passively cooled rackmounts.
Key Benefits Include:
- High Bandwidth Memory: HBM2e memory provides smooth data transfer.
- NVLink Support: NVLink capabilities enabling communication between multiple GPUs.
- TensorFloat-32 (TF32): Operations streamline AI tasks on legacy software.
Specifications of NVIDIA DGX A100 System
If you are considering enterprise-level AI model training or inferencing, the NVIDIA DGX A100 would be a worthwhile investment. Checkout this chart in which we explain the specifications of DGX A100:
| Component | Specification |
| GPU Configuration | 8x NVIDIA A100 80GB GPUs |
| Total GPU Memory | 640 GB HBM2e |
| CPU | 2x AMD EPYC 7742 |
| System Memory | 1 TB DDR4 |
| Storage | 15 TB NVMe SSD |
| Networking | 8x 200Gb/s HDR InfiniBand Ports |
| Software | DGX OS, NGC Ready |
| Price (2025) | $149,000–$199,000 |
The high multi-GPU scaling, together with its software stack integration and deep learning execution optimized configuration, makes the NVIDIA DGX A100 640GB price worth it.
An Alternative Approach for NVIDIA A100 System Board
As compared to DGX systems, the NVIDIA A100 system board provides more flexibility in terms of custom deployment. It is best suited for:
- OEM solutions
- Cloud deployments
- Custom server setups
A trade-off between direct cooling management and multi-slot GPUs with NVLink bridges makes it a robust system for infrastructure managers who are more hands-on with the tech side.
Why Choose Direct Macro Store for NVIDIA A100 GPU Purchase?
At Direct Macro, we pay attention to the enterprise level of computing, especially the need for precision. Here is why hundreds of data professionals and organizations trust us:
1. Verified and Authentic GPUs
Every NVIDIA A100 Tensor Core GPU is properly checked and verified and we make sure that you receive original and high-quality hardware with authenticity and warranty.
2. Best NVIDIA A100 Price Deals
Direct Macro store offers NVIDIA A100 80GB prices in 2025. Our agreements with enterprise vendors set their pricing in stone and prop us up with exclusive savings.
3. Consultation with Experts
Whether you’re deploying a NVIDIA A100 system board or configuring a DGX AI cluster, our experts help with:
- Architecture Planning
- Rack Compatibility
- Software Integration
4. Bulk Orders and OEM Discounts
Need multiple units or full NVIDIA DGX A100 systems? We offer bulk pricing and OEM support to scale your infrastructure smoothly.
5. Fast Shipping and Global Availability
If you are North American, European, or even Asian, you are in luck. Direct macro makes sure that their customer receives timely delivery with secure packaging and technical support.
Conclusion: Is NVIDIA A100 Still Worth It in 2025?
For sure. Despite H100’s limelight-stealing capabilities, the NVIDIA A100 price continues to hold its value pretty well in enterprise, research, and cloud computing. It maintains its balance in value, power, and reliability, particularly for applications that do not use Hopper or Grace chips.
For developers, engineers, and institutions trying to achieve scalable AI performance without breaking the bank, the NVIDIA Tesla A100 remains an appealing option because it is rather future-proof.
If you are looking to make your next purchase, Direct Macro is the most reliable place to buy Nvidia A100. We provide the best options, support, and pricing based on your needs.
Frequently Asked Questions:
What is the NVIDIA A100 80GB price in 2025?
The estimated price range of the NVIDIA A100 80GB for 2025 lies between $10,000 to $13,000 depending on the seller, if the product is new or refurbished, and the configuration. prices nowadays fluctuate based on the need for AI and data centers globally.
Why is the NVIDIA A100 so expensive?
As we know, data centers require efficiency and performance throughput above all. The NVIDIA A100 is a high-performance Data Center Tensor Core GPU that integrates seamlessly into AI, ML and HPC workloads. It offers unrivalled memory bandwidth and savings efficiency, it’s bluntly incomparable. Its premium performance and enterprise-grade reliability justify its high price.
What is the difference between NVIDIA A100 and H100?
NVIDIA A100 vs H100 comparison suggests that the H100 (Hopper architecture) is the successor of the A100 (Ampere architecture). The NVIDIA H100 comes with faster AI training, greater scaling potential, and increased memory bandwidth, while the A100 is reserved for large-scale powerful tasks like inference and training.
What is included in the NVIDIA A100 system board?
The NVIDIA A100 system board comes with one or multiple A100 GPUs, a PCIe interface, NVLink high-speed interconnects, and enhanced cooling. It is designed for integration into HGX or DGX systems.
What is the estimated price for NVIDIA DGX A100 640GB system in 2025?
In 2025, the NVIDIA DGX A100 640GB price is between $200,000 to $250,000, depending on the vendor, configuration, and support options. The system contains eight A100 GPUs and is designed for AI enterprise workloads.
Can I use the NVIDIA A100 for gaming?
Technically yes, but it is not recommended. The NVIDIA A100 is not intended for gaming due to the absence of standard display ports; it is designed for AI, HPC, and data workloads. GPUs like the RTX 4090 are the most suitable and cost- effective option for gaming.
