Buy NVIDIA A100 GPUs for AI, Research, and Data Center Deployments 

Organizations looking to buy NVIDIA A100 GPUs continue to select the platform for AI, machine learning, and high-performance computing workloads, even though it has been officially discontinued. Demand remains strong across research institutions, universities, and enterprise data centers, aiming for reliable performance at a lower cost.

Orange Hardwares provides verified A100 GPU solutions in multiple configurations, backed by warranty and worldwide shipping. Buyers researching A100 GPU costs should treat the prices as initial points, as the final price depends on quantity, form factor, plus the region. 

A100 40GB vs 80GB: Which Model Should You Choose?

Choosing between A100 40GB and 80GB depends on your workload requirements.

A100 GPU Price and Buying Options: Refurbished, Used, and Enterprise Inventory

The final NVIDIA A100 GPU price depends on the configuration, form factor, supply, and present market availability.

• Discounts are available for A100 GPU bulk purchase orders that support enterprise AI deployments.

• A100 GPU wholesale pricing is available for resellers, universities, and research institutions.

• All refurbished A100 GPU options are professionally tested, and the A100 GPU for sale inventory is updated frequently.

• The used A100 GPU price varies by condition, configuration, and order quantity.

A100 SXM4 vs PCIe: Application Differences

A100 PCIe Slots Explained

This fits standard enterprise servers, making it suitable for present infrastructure and smaller AI deployments.

A100 SXM4 Socket Explained 

This is built for HGX systems, providing high-bandwidth NVLink connectivity for multi-GPU AI training and large-scale data center tasks.

A100 GPU OEM Integrations 

Dell A100 Server OEM Integration

The Dell server integrates A100 GPUs into PowerEdge servers with enterprise management, cooling, and support.

HPE A100 GPU OEM Integration

HPE includes A100 GPUs in ProLiant and other AI-ready systems built for business and research tasks,

Lenovo ThinkSystem A100 OEM Integration 

These servers combine A100 GPUs with enterprise infrastructure for AI and HPC deployments.

Supermicro A100 GPU OEM Integration 

Supermicro provides highly configurable GPU servers that are popular with research labs and expanding AI teams.

ASUS A100 Server GPU OEM Integration 

ASUS builds enterprise graphics cards and servers for AI training, virtualization, and data center setups.

PNY A100 80GB Server GPU OEM Integration

This authorized NVIDIA partner sells standalone A100 PCIe cards instead of complete server systems.

The GPU silicon is exact across OEMs. Each solution has a dedicated A100 GPU part number for compatibility and identification.

A100 GPU for AI Training and Data Centers

A100 GPU for AI Training and Research

An A100 GPU for AI training manages deep learning, LLM boosting, plus scientific computing.

A100 GPU for Data Center Deployments

An A100 GPU for data center provides scalable performance for virtualization, analytics, and HPC.

A100 GPU for Education and Small Business

An A100 GPU for schools and an A100 GPU for small business deliver an effective enterprise AI solution.

Is A100 Still Worth Buying 2026? 

Many customers continue selecting the A100 due to: 

• Enterprise-level performance for AI training and inference

• Lower acquisition costs compared to newer GPU generations

• Dependable availability in refurbished and used markets

• Wide compatibility with modern AI frameworks and software

Receive an A100 GPU Quote Via Orange Hardwares 

Expanding or upgrading AI infrastructure? Orange Hardwares supplies verified A100 GPUs with warranty-backed inventory and worldwide shipping. Contact our team for present A100 GPU lead time estimates, pricing, and a customized quote designed for your deployment needs. 

FAQs

What's the price difference between A100 40GB and 80GB?

The 80GB model costs more in comparison with the 40GB memory model, due to providing double the memory. 

Is A100 still a good buy now that it's discontinued by NVIDIA?

Yes, it is. The A100 remains a proven and affordable enterprise graphics processing unit, despite being discontinued by NVIDIA. 

Do you sell A100 GPUs in bulk for research labs and universities?

Yes, we do sell them in bulk for research labs and universities, along with institutional and enterprise orders.

What's the difference between A100 SXM4 and PCIe versions?

The difference is that PCIe is aligned for standard servers, while SXM4 is optimized for multi-GPU setups.

Are refurbished A100 GPUs safe for long-term production use?

Yes, they are safe when it comes to long-term use, given they are professionally tested and warranty-backed.

Can A100 handle large language model fine-tuning?

Yes, an A100 Graphics Processing Unit can handle large language model fine-tuning, especially the 80GB model.

What's your minimum order quantity for wholesale A100 pricing?

At our site, Orange Hardwares, minimum order quantities differ based on project needs.

Do you ship A100 GPUs internationally for bulk business orders?

Yes, we do ship internationally for bulk business orders. Worldwide shipping is available at Orange Hardwares.

What warranty comes with a used A100 GPU?

For an A100 graphics card, the warranty depends on the condition of the product and available inventory.

How does A100 compare to H100 for the price?

An A100 GPU provides better value, while an H100 GPU delivers higher performance for the price. 

Does ASUS or Dell make their own version of the A100, or is it only NVIDIA?

It is not only NVIDIA. NVIDIA makes the GPU, while OEMs, such as ASUS and Dell, integrate it into servers.

Is a PNY A100 the same GPU as one from Dell or HPE?

Yes, it is. The GPU type is the same for both PNY A100 and Dell or HPE form factors, with only a difference in the type of platform. 

Is A100 40GB enough memory for training or only inference?

A100 supports and includes enough memory for both training and inference,  but it depends on the size of the workload. 

Can I mix A100 40GB and 80GB units in the same server?

Yes, you can mix them, though matching GPUs, for example, 80GB with 80GB, and 40GB with 40GB, typically deliver better consistency.