NVIDIA Tesla V100 Price Breakdown and Buying Guide

Cyfuture Cloud offers NVIDIA Tesla V100 GPU services that deliver top-tier AI, machine learning, and data processing performance with cost-efficient pricing tailored for enterprise-scale needs. The Tesla V100 GPU price typically ranges around $10,000 to $11,500 for PCIe 16GB or 32GB variants, but Cyfuture Cloud provides flexible cloud access models, avoiding heavy upfront hardware investment while ensuring optimized cost and performance balance.

Overview of NVIDIA Tesla V100 GPU

The NVIDIA Tesla V100 is a high-performance GPU designed for high-performance computing (HPC), AI training, deep learning, and data science workloads. Featuring up to 32GB of HBM2 memory, 640 Tensor Cores, and delivering 112 Tensor TFLOPS, it is engineered to handle large-scale and complex computations efficiently. The V100 supports NVLink for scalable multi-GPU configurations and offers superior double-precision and deep learning performance, making it ideal for research and enterprise AI applications.

Price Breakdown of Tesla V100 GPUs

The typical market price for a Tesla V100 GPU ranges from approximately $10,600 to $11,500 depending on the model and specifications, such as 16GB or 32GB HBM2 memory configurations.

Price per TFLOPS for deep learning performance is around $95 to $102, representing strong value given its computational power.

Additional costs include power consumption, cooling requirements, and supporting hardware when purchasing physical cards.

Cloud-based access models such as those Cyfuture Cloud provides allow users to bypass these upfront costs, paying for GPU usage on demand instead.

Buying Guide: What to Consider

Use Case: Evaluate if your workload involves deep learning, AI research, or HPC. Tesla V100 excels in these domains due to its tensor core architecture.

Memory Requirements: Choose between the 16GB or 32GB variant based on dataset size and model complexity.

Budget and Costs: Factor in hardware costs plus operating expenses like electricity and maintenance for owning physical GPUs. Alternatively, cloud services like Cyfuture Cloud offer flexible pricing and scaling without capital expenditures.

Performance Needs: Ensure the GPU’s computational power matches your project needs. Tesla V100 supports up to 7 TFLOPS double-precision and 112 Tensor TFLOPS for AI workloads.

Support and Security: Choose providers with strong technical support and robust data protection. Cyfuture Cloud offers expert support and security features to ensure safe and optimized use of Tesla V100 GPUs.

Benefits of Tesla V100 on Cyfuture Cloud

Cost Efficiency: Access Tesla V100 GPUs on an on-demand basis, eliminating the need for large upfront investments in hardware.

Scalability: Easily scale your GPU resources based on project demands without worrying about physical infrastructure constraints.

Expert Support: Cyfuture Cloud provides technical specialists to help configure, optimize, and troubleshoot Tesla V100 GPU deployments.

Security and Compliance: Cyfuture Cloud implements strong encryption, user authorization, and cloud industry regulations to secure your data while using GPU resources.

Optimized Infrastructure: Designed for AI, deep learning, HPC, and data analysis workloads with high availability and performance reliability.

Frequently Asked Questions (FAQs)

Q1: How much does a Tesla V100 GPU cost?
A1: Market prices range roughly from $10,600 to $11,500 depending on the configuration. Cloud access pricing varies by usage and provider, with Cyfuture Cloud offering cost-effective plans optimized for AI workloads.

Q2: Should I buy a physical Tesla V100 or use cloud GPU services?
A2: If you require flexibility, scalability, and want to avoid upfront costs, cloud GPU services like Cyfuture Cloud are ideal. Physical GPUs suit long-term, constant workloads but come with higher CAPEX and maintenance overhead.

Q3: What kind of workloads is Tesla V100 best suited for?
A3: The V100 excels in AI model training, machine learning, scientific simulations, HPC, and any compute-intensive tasks requiring high parallelism and tensor performance.

Q4: Does Cyfuture Cloud provide support for Tesla V100 users?
A4: Yes, Cyfuture Cloud offers technical support for configuration, optimization, and troubleshooting to ensure smooth GPU resource operation.

Conclusion

Choosing the NVIDIA Tesla V100 GPU is a strategic investment for compute-intensive AI and HPC workloads. While hardware prices range around $10,000 and up, leveraging cloud solutions like Cyfuture Cloud offers unmatched flexibility, support, security, and cost efficiency. Cyfuture Cloud’s Tesla V100 service ensures businesses and researchers can harness powerful GPU capabilities optimized for performance, scalability, and budget. Explore Cyfuture Cloud to unlock the full potential of the Tesla V100 GPU today.