Rent NVIDIA A30 in the Cloud

Expect NVIDIA A30 cloud price to begins at $0.25 per hour on-demand. According to our July 14, 2026 snapshot, the market's lowest-priced on-demand option is Massed Compute, while offers the lowest spot rate at per hour — a up to 60% saving for interruption-tolerant jobs. Reserved contracts add another ~up to 40% discount for multi-month bookings.

Typical one-month on-demand bills run into four figures at full utilization, which is why production inference services usually migrate to reserved and experimental work stays on-demand or spot.

Launch a NVIDIA A30 instance on Massed Compute at $0.25/hr, or try RunPod for alternative regions and availability.

NVIDIA A30 is built on the Ampere architecture and ships with 24 GB of HBM2e memory at 933 GB/s bandwidth. Released in 2021, the card delivers 165 FP16 TFLOPS and 10.3 FP32 TFLOPS at a 165W TDP.

For machine learning researchers, those numbers translate into several practical limits: the VRAM ceiling dictates the largest large language model weights you can load (and the maximum batch size at a given sequence length), while memory bandwidth sets the upper bound for attention-heavy inference. Compute throughput matters most for dense matrix multiplications — pre-training, large-batch pre-training, and diffusion.

Rent NVIDIA A30 from Massed Compute (from $0.25/hr) or RunPod — compare live pricing and deploy.

Benchmarked performance on NVIDIA A30: 165 TFLOPS in FP16, 10.3 TFLOPS in FP32, 933 GB/s memory bandwidth, 24 GB VRAM.

For the workloads most engineers care about — model training transformer-family models, serving LLM low-latency inference, running diffusion and vision pipelines — those specs are enough to sustain batch sizes that keep tensor cores busy. Expect wall-clock gains versus previous-generation Ampere cards to range from 1.5x to 3x depending on workload shape.

Launch a NVIDIA A30 instance on Massed Compute at $0.25/hr, or try RunPod for alternative regions and availability.

2 providers currently offer NVIDIA A30 in their cloud catalogues: Massed Compute, RunPod. Massed Compute is the cheapest on-demand option ($0.25 per hour); is the cheapest spot option ( per hour).

Before committing, verify three things: 1) current availability (stocks change daily on community clouds), 2) whether the listed price is per GPU or per instance (this matters for multi-GPU configurations), and 3) the billing granularity — per-second and per-minute billing meaningfully reduce costs on bursty workloads.

Two tracked cloud providers currently offer NVIDIA A30: Massed Compute and RunPod. Massed Compute has the cheaper rate at $0.25/hr.

NVIDIA A30 is ideal for Inference, multi-instance GPU workloads. That covers the workloads where the card's balance of VRAM (24 GB), compute, and bandwidth pays off — chiefly AI pre-training and real-time serving at scales that don't require the absolute top-tier accelerators.

It's a data-center-segment card, so expect data-centre-grade reliability and form factor rather than gaming-class features. Cloud pricing starts at $0.25 per hour from Massed Compute, making it reachable for any team willing to move to the cloud for compute.

Deploy NVIDIA A30 on Massed Compute (from $0.25/hr) or RunPod — check live availability and spin up in minutes.