What Types of GPUs Are Available in GPU Cloud Servers?

Cyfuture Cloud offers a diverse range of NVIDIA GPUs in its GPU cloud servers, categorized into entry-level, mid-range, and high-end options. Entry-level GPUs include models like T4 and V100 for lighter workloads. Mid-range options feature L4 and L40S, while high-end GPUs such as A100, H100, and H200 handle demanding AI and HPC tasks.​

GPU Categories and Features

Cyfuture Cloud structures its GPU offerings into three tiers to match various workload needs, ensuring scalability and performance optimization for users.

Entry-level GPUs like the NVIDIA T4 (16GB GDDR6) and V100 GPU (32GB HBM2) excel in inference tasks, light AI training, and data analytics, providing cost-effective parallel processing without excessive power draw. These are ideal for startups or developers testing models on Cyfuture Cloud's flexible infrastructure.​

Mid-range GPUs, including NVIDIA L4 and L40S (48GB GDDR6), bridge everyday computing and intensive applications, supporting moderate deep learning, rendering, and simulations with improved efficiency over entry-level options. High-end GPUs such as A100 GPU (40/80GB HBM2e), H100 (80GB HBM3), and H200 (141GB HBM3e) deliver top-tier performance for large-scale AI training, LLMs, and HPC, leveraging NVLink interconnects up to 900GB/s for multi-GPU clusters on Cyfuture Cloud.​

Additional models like K80, P100, and P4 expand options for legacy or specialized needs, all integrated into Cyfuture Cloud's secure, scalable servers with AMD EPYC or Intel Xeon CPUs and up to 2TB DDR5 RAM per node. This tiered approach allows seamless deployment via GPUaaS, with configurations of 4-8 GPUs per node.​

Conclusion

Cyfuture Cloud's GPU cloud servers provide comprehensive access to NVIDIA's leading GPUs across entry-level (T4, V100), mid-range (L4, L40S), and high-end (A100, H100 GPU, H200) categories, empowering AI, ML, and HPC workloads with unmatched flexibility and performance. Businesses benefit from pay-as-you-go pricing, 24/7 support, and enterprise-grade security, eliminating hardware ownership hurdles.​

Follow-up Questions & Answers

Q: How do I select the right GPU for my workload on Cyfuture Cloud?
A: Evaluate your needs—use entry-level for inference, mid-range for training mid-sized models, and high-end for LLMs or HPC. Cyfuture Cloud's documentation and support team offer performance consulting.​

Q: What interconnects and memory options are available?
A: Nodes feature NVLink (up to 900GB/s) and PCIe Gen 5.0, with GPU memory from 16GB (T4) to 141GB (H200) and system RAM up to 2TB DDR5 ECC.​

Q: Are bare metal GPU servers offered?
A: Yes, Cyfuture Cloud provides bare metal options alongside virtualized instances for maximum control and performance.​

Q: How does pricing work for these GPUs?
A: Usage-based with reserved or interruptible instances; contact Cyfuture Cloud for tailored quotes based on GPU type and duration.​