NVIDIA A100 GPU: Premium Performance Computing Solution with Flexible Pricing Options

Contact me immediately if you encounter problems!

All Categories

a100 gpu price

The NVIDIA A100 GPU represents a significant investment in cutting-edge computing technology, with prices typically ranging from $10,000 to $15,000 per unit. This powerful graphics processing unit stands at the forefront of artificial intelligence and high-performance computing solutions. The pricing reflects its extraordinary capabilities, including 80GB of HBM2e memory, 312 TeraFLOPS of AI performance, and third-generation Tensor Cores. The A100 GPU's price point positions it primarily for enterprise-level applications, data centers, and research institutions where computational demands are exceptionally high. Despite the substantial initial investment, organizations often find the cost justified through improved processing speeds, enhanced productivity, and reduced overall computing infrastructure requirements. The pricing structure may vary based on quantity, regional availability, and specific configurations, with some vendors offering flexible purchase options including leasing and cloud-based solutions. When considering the A100 GPU's price, it's essential to factor in the potential return on investment through increased computational capabilities and energy efficiency improvements compared to running multiple lower-tier GPUs.

New Product Recommendations

The A100 GPU's price point, while substantial, offers several compelling advantages that justify the investment for organizations requiring top-tier computing performance. First, its Multi-Instance GPU (MIG) technology enables users to partition the GPU into up to seven instances, effectively providing multiple virtual GPUs from a single physical unit, maximizing resource utilization and cost efficiency. The A100's superior performance per watt results in significant energy savings over time, potentially offsetting the initial purchase price through reduced operational costs. The device's ability to handle mixed-precision computing workloads means organizations can optimize performance and efficiency based on specific application requirements, making the most of their investment. Additionally, the A100's support for PCIe Gen4 and NVLink provides exceptional data throughput capabilities, reducing processing bottlenecks and improving overall system efficiency. The GPU's advanced security features and enterprise-grade reliability ensure minimal downtime and maximum protection for critical workloads, while its compatibility with major AI frameworks and CUDA ecosystem makes it immediately productive in existing infrastructure. The price also includes access to NVIDIA's enterprise support and software stack, providing additional value through regular updates and optimization improvements.

Practical Tips

Shanghai Qingguang Electronics Celebrates 8th Anniversary with Robust Global Growth

06

Mar

Shanghai Qingguang Electronics Celebrates 8th Anniversary with Robust Global Growth

View More
Qingguang Electronics Strengthens Global Partnerships Across 30+ Countries

06

Mar

Qingguang Electronics Strengthens Global Partnerships Across 30+ Countries

View More
Qingguang Electronics Launches New IT Solutions to Empower Digital Transformation

06

Mar

Qingguang Electronics Launches New IT Solutions to Empower Digital Transformation

View More

Get a Free Quote

Our representative will contact you soon.
Email
Name
Company Name
Message
0/1000

a100 gpu price

Cost-Effective Scaling Through MIG Technology

Cost-Effective Scaling Through MIG Technology

The A100 GPU's Multi-Instance GPU (MIG) technology represents a revolutionary approach to resource utilization that directly impacts the cost-effectiveness of the investment. This feature allows organizations to partition a single A100 GPU into up to seven independent GPU instances, each with its own dedicated compute resources, memory, and bandwidth. This capability effectively transforms one physical GPU into multiple virtual GPUs, providing exceptional flexibility in resource allocation and workload management. The practical implication is that organizations can support multiple users or applications simultaneously on a single device, potentially reducing the need for additional GPU purchases. This scalability feature significantly enhances the return on investment by maximizing resource utilization and reducing idle time, making the A100's price point more justifiable in terms of actual computing value delivered.
Long-term Value Through Energy Efficiency

Long-term Value Through Energy Efficiency

The A100 GPU's advanced architecture delivers exceptional energy efficiency that translates into substantial cost savings over time. With its third-generation Tensor Cores and optimized power management features, the A100 can process complex workloads while consuming significantly less power compared to multiple lower-tier GPUs achieving similar performance levels. This efficiency is particularly relevant in data center environments where power consumption and cooling costs represent significant operational expenses. The A100's ability to deliver more computing power per watt not only reduces direct energy costs but also decreases the need for extensive cooling infrastructure, leading to additional savings in facility management expenses. These energy-related benefits contribute to a lower total cost of ownership, making the initial price investment more attractive when considered over the product's lifetime.
Enterprise-Grade Support and Ecosystem Value

Enterprise-Grade Support and Ecosystem Value

The A100 GPU's price includes access to NVIDIA's comprehensive enterprise support system and software ecosystem, providing significant added value beyond the hardware itself. This ecosystem encompasses regular driver updates, security patches, and optimization improvements that ensure the GPU maintains peak performance and security throughout its operational life. The support package includes access to NVIDIA's enterprise-grade tools and frameworks, such as CUDA, cuDNN, and TensorRT, which are essential for developing and deploying AI applications efficiently. Additionally, NVIDIA's technical support team provides expert assistance in resolving any issues that may arise, minimizing downtime and ensuring optimal performance. This comprehensive support structure helps organizations maximize their investment by providing the resources and assistance needed to fully utilize the A100's capabilities.