NVIDIA Tesla V100 vs RTX 4090: Which GPU Performs Better?

The NVIDIA RTX 4090 outperforms the Tesla V100 in most metrics, especially in raw computing power for FP32 workloads, gaming, and graphics-intensive applications. The Tesla V100, however, excels in double precision (FP64) performance and is optimized for data center and high-performance computing tasks like AI research and scientific simulations. For AI and deep learning, the choice depends on workload specifics, but overall the RTX 4090 offers better versatility and higher peak performance at improved efficiency. Cyfuture Cloud provides access to both GPUs depending on your project requirements.

Overview of NVIDIA Tesla V100 and RTX 4090

The NVIDIA Tesla V100 is a data center GPU primarily designed for high-performance computing (HPC), AI training, and scientific research. It features 32GB of HBM2 memory and excels at double precision floating-point calculations. The RTX 4090 is the latest in NVIDIA's GeForce line aimed at gaming and high-end graphics but also delivers amazing deep learning performance with 24GB of GDDR6X memory and advancements in tensor and ray-tracing cores.

Technical Specifications Comparison

This comparison shows the RTX 4090 delivers roughly six times higher FP32 throughput higher clock speeds and bandwidth suited for gaming and intensive graphics work. Tesla V100 has significantly better FP64 throughput for precision tasks common in scientific computing and enterprise AI workloads.​

Performance in AI and HPC Workloads

Tesla V100 shines in double precision tasks and has high tensor core counts tailored for scientific models and enterprise AI training workloads. The RTX 4090, despite fewer tensor cores, boasts superior FP16 and FP32 throughput, making it excellent for deep learning inference and training in many modern AI workloads. However, Tesla’s optimizations for data center deployment and HPC reliability are unmatched, making it the choice for critical server-grade environments.

Gaming and Graphics Performance

The Tesla V100 is not designed for gaming, lacking ray tracing and game optimization features. In contrast, the RTX 4090 delivers exceptional real-time ray tracing, DLSS support, and high frame rates in modern games and professional 3D rendering. It provides superior graphics performance and efficiency for creative professionals and gamers alike.

Power Efficiency and Use Cases

Tesla V100: Designed for data center environments, features better performance per watt for FP64 workloads, suited for AI research, simulation, and scientific computing.

RTX 4090: Higher power consumption but far superior performance in FP32 and gaming tasks, best for content creators, gamers, and AI workloads that benefit from this architecture.

Frequently Asked Questions

Can the RTX 4090 replace the Tesla V100 in AI research?
For many AI applications, yes, especially where FP16/FP32 performance is critical, but Tesla V100 remains superior for double precision and mission-critical HPC tasks.

Is the Tesla V100 still relevant in 2025?
Yes, especially in enterprise data centers and scientific fields requiring double precision computations.

Which GPU is better for cloud-based AI services?
Both have merits. Tesla V100 for stability and double precision, RTX 4090 for cost-effective, high-throughput AI applications.

Conclusion

The NVIDIA RTX 4090 outperforms the Tesla V100 in most raw performance metrics, especially for FP32 tasks, gaming, and graphics workloads, while the Tesla V100 remains highly relevant for FP64 precision workloads, enterprise AI, and HPC applications. Cyfuture Cloud offers flexible access to both GPUs, empowering users to choose the right hardware for their specialized tasks, ensuring optimal performance and cost-effectiveness in AI and cloud computing projects.

This comprehensive comparison equips you with the insights to make an informed decision, and Cyfuture Cloud is ready to support your GPU needs with cutting-edge infrastructure and scalable cloud GPU services. For more details about GPU services and to get started with Cyfuture Cloud, visit the official site today.