Tesla A100 Price

The Tesla A100 is a high-performance graphics processing unit (GPU) designed for use in artificial intelligence (AI) and machine learning applications. It is based on the NVIDIA Ampere architecture and offers up to 40 TFLOPS of FP32 performance. The Tesla A100 is available in a variety of configurations, including a PCIe card, an SXM module, and a HGX-2 server.

The price of a Tesla A100 can vary depending on the configuration and vendor. The PCIe card typically starts at around $12,000, while the SXM module starts at around $15,000. The HGX-2 server starts at around $30,000. It is important to note that these prices do not include the cost of a power supply or other necessary components.

tesla a100 price

Here are 8 important points about Tesla A100 price:

• Starts at $12,000
• Varies by configuration
• SXM module more expensive
• HGX-2 server most expensive
• Does not include power supply
• Can be used for AI and ML
• Based on NVIDIA Ampere architecture
• Offers up to 40 TFLOPS

The Tesla A100 is a powerful GPU that can be used for a variety of applications. However, it is important to consider the price before purchasing one. The cost can vary depending on the configuration and vendor. It is also important to factor in the cost of a power supply and other necessary components.

Starts at $12,000

The Tesla A100 PCIe card starts at $12,000. This is the most affordable configuration of the A100, and it is suitable for a variety of applications. However, it is important to note that the price does not include the cost of a power supply or other necessary components.

• Entry-level configuration
  

  The PCIe card is the entry-level configuration of the A100. It is suitable for a variety of applications, including AI and ML. However, it is important to note that it is not as powerful as the SXM module or the HGX-2 server.

• Suitable for workstations
  

  The PCIe card is a good option for workstations. It is powerful enough to handle a variety of tasks, including video editing and 3D rendering. However, it is important to ensure that the workstation has a compatible motherboard and power supply.

• Can be used for gaming
  

  The PCIe card can also be used for gaming. However, it is important to note that it is not as powerful as a dedicated gaming GPU. Therefore, it is only suitable for gaming at moderate resolutions and settings.

• Good value for the price
  

  The PCIe card is a good value for the price. It offers a lot of performance for a relatively low cost. However, it is important to consider the cost of a power supply and other necessary components before purchasing one.

Overall, the Tesla A100 PCIe card is a good option for those who need a powerful GPU at a reasonable price. It is suitable for a variety of applications, including AI, ML, video editing, 3D rendering, and gaming.

Varies by configuration

The price of a Tesla A100 can vary depending on the configuration. The following are some of the factors that can affect the price:

Memory capacity: The Tesla A100 is available with either 16GB or 40GB of memory. The 40GB model is more expensive than the 16GB model.

Form factor: The Tesla A100 is available in a variety of form factors, including a PCIe card, an SXM module, and a HGX-2 server. The PCIe card is the most affordable option, while the HGX-2 server is the most expensive.

Cooling solution: The Tesla A100 is available with either a passive or active cooling solution. The passive cooling solution is less expensive than the active cooling solution.

Software: The Tesla A100 is compatible with a variety of software, including NVIDIA CUDA, NVIDIA TensorRT, and NVIDIA Metropolis. The software that is included with the GPU can also affect the price.

Overall, the price of a Tesla A100 can vary depending on the specific configuration. It is important to consider the factors listed above when budgeting for a Tesla A100.

SXM module more expensive

The Tesla A100 SXM module is more expensive than the PCIe card because it offers a number of advantages. These advantages include:

Higher performance: The SXM module can deliver up to 40 TFLOPS of FP32 performance, compared to 31 TFLOPS for the PCIe card. This makes the SXM module a better choice for demanding applications such as AI and ML.

More memory bandwidth: The SXM module has a memory bandwidth of up to 1.6 TB/s, compared to 1.1 TB/s for the PCIe card. This makes the SXM module a better choice for applications that require large amounts of data.

Smaller form factor: The SXM module is a smaller form factor than the PCIe card, which makes it ideal for space-constrained applications. The SXM module also uses less power than the PCIe card.

Hot-swappable: The SXM module is hot-swappable, which means that it can be replaced without having to shut down the system. This makes the SXM module a good choice for applications that require high availability.

Overall, the Tesla A100 SXM module is a more powerful and versatile option than the PCIe card. However, it is also more expensive. It is important to weigh the benefits and costs of each option before making a decision.

HGX-2 server most expensive

The Tesla A100 HGX-2 server is the most expensive configuration of the A100. This is because it includes multiple A100 GPUs, as well as other hardware and software components. The HGX-2 server is designed for demanding applications such as AI and ML. It can deliver up to 100 TFLOPS of FP32 performance, making it one of the most powerful servers on the market.

• Multiple A100 GPUs: The HGX-2 server can accommodate up to 8 A100 GPUs. This gives it the highest performance of any A100 configuration.
• NVLink interconnect: The A100 GPUs in the HGX-2 server are connected via NVLink, a high-speed interconnect technology. This allows the GPUs to communicate with each other at up to 300 GB/s. This makes the HGX-2 server ideal for applications that require high levels of communication between GPUs.
• Software suite: The HGX-2 server comes with a software suite that includes NVIDIA CUDA, NVIDIA TensorRT, and NVIDIA Metropolis. This software suite provides developers with the tools they need to develop and deploy AI and ML applications.
• Support and maintenance: The HGX-2 server comes with support and maintenance from NVIDIA. This ensures that the server is running at peak performance and that any issues are resolved quickly.

The Tesla A100 HGX-2 server is the best choice for demanding AI and ML applications. However, it is also the most expensive A100 configuration. It is important to weigh the benefits and costs of each option before making a decision.

Does not include power supply

The price of a Tesla A100 does not include the cost of a power supply. This is because the A100 is a high-powered device that requires a lot of electricity. The power supply that is required for the A100 will depend on the specific configuration of the device. However, it is important to note that the power supply can add a significant amount to the overall cost of the A100.

• Power requirements: The Tesla A100 requires a lot of power. The power requirements will vary depending on the specific configuration of the device. However, it is important to note that the A100 can consume up to 300 watts of power.
• Power supply cost: The cost of a power supply will vary depending on the wattage and efficiency of the unit. However, it is important to note that a good quality power supply can cost several hundred dollars.
• Total cost: The total cost of the A100, including the power supply, can vary significantly. It is important to factor in the cost of the power supply when making a decision about whether or not to purchase an A100.

Here is an example of how the cost of a power supply can add to the overall cost of the Tesla A100:

• The Tesla A100 S module with 16GB of memory and a passive cooling solution starts at $15,000.
• A good quality power supply for the A100 S module can cost around $500.
• The total cost of the A100 S module, including the power supply, would be $15,500.

It is important to note that this is just an example. The actual cost of the A100, including the power supply, will vary depending on the specific configuration of the device.

Can be used for AI and ML

The Tesla A100 is a powerful GPU that is well-suited for AI and ML applications. This is because the A100 has a number of features that make it ideal for these types of applications, including:

• High performance: The A100 is one of the most powerful GPUs on the market. It offers up to 40 TFLOPS of FP32 performance, which makes it ideal for demanding AI and ML applications.
• Large memory capacity: The A100 has a large memory capacity of up to 40GB. This makes it possible to store large models and datasets in memory, which can improve the performance of AI and ML applications.
• Tensor cores: The A100 has tensor cores, which are specialized hardware units that are designed to accelerate AI and ML operations. This can significantly improve the performance of AI and ML applications.
• Software support: The A100 is supported by a wide range of software tools and libraries for AI and ML. This makes it easy to develop and deploy AI and ML applications on the A100.

The Tesla A100 is a great choice for anyone who is looking for a powerful GPU for AI and ML applications. It offers high performance, large memory capacity, and tensor cores, which make it ideal for these types of applications.

Here are some examples of how the Tesla A100 can be used for AI and ML:

• Training deep learning models
• Running inference on deep learning models
• Processing large datasets
• Developing AI and ML algorithms

The Tesla A100 is a versatile GPU that can be used for a wide range of AI and ML applications. It is a great choice for anyone who is looking for a powerful and reliable GPU for these types of applications.

Based on NVIDIA Ampere architecture

The Tesla A100 is based on the NVIDIA Ampere architecture. This is the latest generation of NVIDIA's GPU architecture, and it offers a number of advantages over previous generations, including:

• Improved performance: The Ampere architecture offers up to 2x the performance of the previous generation Turing architecture. This makes the A100 ideal for demanding AI and ML applications.
• Increased efficiency: The Ampere architecture is also more efficient than the Turing architecture. This means that the A100 can deliver the same level of performance while consuming less power.
• New features: The Ampere architecture introduces a number of new features, including support for NVIDIA RTX technology. RTX technology provides hardware-accelerated ray tracing, which can improve the realism of graphics in games and other applications.

The Tesla A100 is the first GPU to be based on the NVIDIA Ampere architecture. This gives it a number of advantages over previous generations of GPUs, including improved performance, increased efficiency, and new features. This makes the A100 a great choice for anyone who is looking for a powerful and versatile GPU.

Here are some of the benefits of the NVIDIA Ampere architecture:

• Faster performance: The Ampere architecture offers up to 2x the performance of the previous generation Turing architecture. This makes the A100 ideal for demanding AI and ML applications.
• Improved efficiency: The Ampere architecture is also more efficient than the Turing architecture. This means that the A100 can deliver the same level of performance while consuming less power.
• New features: The Ampere architecture introduces a number of new features, including support for NVIDIA RTX technology. RTX technology provides hardware-accelerated ray tracing, which can improve the realism of graphics in games and other applications.

The NVIDIA Ampere architecture is a significant improvement over the previous generation Turing architecture. This makes the Tesla A100 a great choice for anyone who is looking for a powerful and versatile GPU.

Offers up to 40 TFLOPS

The Tesla A100 offers up to 40 TFLOPS of FP32 performance. This makes it one of the most powerful GPUs on the market. TFLOPS is a measure of computing performance, and it stands for tera floating-point operations per second. This means that the A100 can perform 40 trillion floating-point operations per second.

• High performance: The A100's high performance makes it ideal for demanding AI and ML applications. These applications often require a lot of computing power, and the A100 can provide the necessary performance to run these applications smoothly.
• Real-time applications: The A100's high performance also makes it suitable for real-time applications. These applications require a GPU that can deliver consistent performance, and the A100 can provide this level of performance.
• Future-proof: The A100's high performance makes it a future-proof investment. As AI and ML applications become more demanding, the A100 will be able to handle these applications without issue.

The Tesla A100's 40 TFLOPS of FP32 performance make it one of the most powerful GPUs on the market. This high performance makes it ideal for demanding AI and ML applications, real-time applications, and future-proof applications.

Here are some examples of how the Tesla A100's high performance can be beneficial:

• Training deep learning models: Deep learning models require a lot of computing power to train. The A100's high performance can significantly reduce the training time for deep learning models.
• Running inference on deep learning models: Deep learning models also require a lot of computing power to run inference. The A100's high performance can significantly improve the inference performance of deep learning models.
• Processing large datasets: AI and ML applications often involve processing large datasets. The A100's high performance can significantly reduce the processing time for large datasets.

The Tesla A100's high performance makes it a great choice for anyone who is looking for a powerful GPU for AI and ML applications.

FAQ

Here are some frequently asked questions about Tesla A100 price:

Question 1: How much does a Tesla A100 cost?
Answer: The price of a Tesla A100 can vary depending on the configuration. The PCIe card starts at $12,000, the SXM module starts at $15,000, and the HGX-2 server starts at $30,000. It is important to note that these prices do not include the cost of a power supply or other necessary components.

Question 2: Why is the Tesla A100 so expensive?
Answer: The Tesla A100 is expensive because it is a high-performance GPU that is designed for demanding AI and ML applications. It offers up to 40 TFLOPS of FP32 performance, which makes it one of the most powerful GPUs on the market.

Question 3: What is the difference between the PCIe card, SXM module, and HGX-2 server?
Answer: The PCIe card is the most affordable configuration of the A100. It is suitable for a variety of applications, but it is not as powerful as the SXM module or the HGX-2 server. The SXM module is more expensive than the PCIe card, but it offers higher performance and a smaller form factor. The HGX-2 server is the most expensive configuration of the A100. It includes multiple A100 GPUs and other hardware and software components. It is designed for demanding AI and ML applications.

Question 4: Do I need a power supply for the Tesla A100?
Answer: Yes, the Tesla A100 requires a power supply. The power supply that is required will depend on the specific configuration of the device. However, it is important to note that a good quality power supply can cost several hundred dollars.

Question 5: What is the best Tesla A100 configuration for my needs?
Answer: The best Tesla A100 configuration for your needs will depend on your specific requirements. If you need a high-performance GPU for demanding AI and ML applications, then the HGX-2 server is the best choice. However, if you are on a budget, then the PCIe card is a good option.

Question 6: Where can I buy a Tesla A100?
Answer: You can buy a Tesla A100 from a variety of retailers, including NVIDIA, Dell, and HP.

I hope this FAQ has answered your questions about Tesla A100 price. If you have any other questions, please feel free to contact us.

Now that you know more about Tesla A100 price, here are a few tips to help you get the best deal on your purchase:

Tips

Here are a few tips to help you get the best deal on your Tesla A100 purchase:

Tip 1: Compare prices from different retailers.
The price of a Tesla A100 can vary depending on the retailer. It is important to compare prices from different retailers before making a purchase. You can use a price comparison website to find the best deals.

Tip 2: Look for sales and discounts.
Many retailers offer sales and discounts on Tesla A100s. It is important to keep an eye out for these sales and discounts. You can sign up for email alerts from retailers to be notified of upcoming sales.

Tip 3: Consider buying a used Tesla A100.
Used Tesla A100s can be a good option if you are on a budget. You can find used Tesla A100s for sale on websites such as eBay and Craigslist.

Tip 4: Negotiate with the retailer.
You may be able to negotiate a lower price on a Tesla A100. It is important to be prepared to walk away from the deal if the retailer is not willing to negotiate.

By following these tips, you can get the best deal on your Tesla A100 purchase.

Now that you know more about Tesla A100 price and how to get the best deal, you can make an informed decision about whether or not to purchase this powerful GPU.

Conclusion

The Tesla A100 is a powerful GPU that is well-suited for AI and ML applications. It offers up to 40 TFLOPS of FP32 performance, which makes it one of the most powerful GPUs on the market. The A100 is also based on the NVIDIA Ampere architecture, which offers a number of advantages over previous generations of GPUs.

The price of a Tesla A100 can vary depending on the configuration. The PCIe card starts at $12,000, the SXM module starts at $15,000, and the HGX-2 server starts at $30,000. It is important to note that these prices do not include the cost of a power supply or other necessary components.

If you are looking for a powerful GPU for AI and ML applications, then the Tesla A100 is a good option. However, it is important to consider the price before making a purchase. You should also compare prices from different retailers and look for sales and discounts.

Overall, the Tesla A100 is a great choice for anyone who is looking for a powerful and versatile GPU for AI and ML applications.

Thanks for reading! I hope this article has been helpful. If you have any questions, please feel free to contact me.