Rent NVIDIA V100 32GB GPUs

V100 32GB rentals on CloudRift start at $0.29/hour for a single GPU. Pay-as-you-go, no minimum commitment.

The V100 is a Volta-architecture datacenter GPU used for AI fine-tuning, batch inference, and HPC workloads like CFD, molecular dynamics, and computational chemistry. Its 32 GB of HBM2 memory and strong FP64 performance make it cost-efficient for memory-bound and double-precision workloads.

The V100 32GB has 32 GB of HBM2 memory on a 4 096-bit bus with 900 GB/s of bandwidth — meaningfully higher than GDDR-class cards in the same price tier.

Yes — for the right workload. The V100 has 640 first-generation Tensor Cores and 32 GB of HBM2 memory, which makes it a strong fit for fine-tuning 7B–13B parameter models, batch inference, and memory-bandwidth-bound HPC. For training the largest frontier models you want H100/H200 or MI350X, but the V100 remains the cost-leader for many production workloads.

A V100 32GB on CloudRift is $0.29/hr. The same silicon on AWS p3dn.24xlarge runs ~$3.90/hr per GPU, and on Azure NDv2 ~$2.75/hr per GPU — CloudRift is roughly 10–13× cheaper. Capacity comes from sustainable second-life datacenter hardware, redeployed instead of replaced.

The V100 32GB is $0.29/hr — roughly half the L40’s $0.63/hr. It has HBM2 memory (900 vs 864 GB/s), a much wider 4 096-bit bus, NVLink 2.0 for multi-GPU, and about 5× the FP64 throughput (~7.8 vs ~1.4 TFLOPS). The L40 has 50% more VRAM (48 GB), newer Ada Tensor Cores, and roughly 6× the FP32 throughput, so it is the better pick when you need maximum inference throughput per card or modern Ada-only features. Pick the V100 for memory-bandwidth-bound workloads, FP64-heavy HPC, multi-GPU training, or the lowest hourly rate.

Yes. Open the Console, pick a V100 instance, and launch — most instances are running in under a minute. Hourly billing, no long-term commitment.