Rent NVIDIA A16 in the Cloud

The best-priced cloud NVIDIA A16 rate we track is $0.47 per hour on Vultr. That rate reflects on-demand billing; providers that support spot/preemptible instances bring the floor down to per hour — a saving of around up to 60% for workloads that can tolerate interruption.

If you can commit to reserved capacity, expect a further up to 40% off. For ad-hoc experiments we recommend on-demand; for multi-day pre-training budget a mix of spot and on-demand. Hourly quotes can shift weekly as providers compete, so check the live table before committing a long run.

Vultr offers the cheapest NVIDIA A16 rate at $0.47/hr; Cherry Servers is also available for comparison.

NVIDIA A16 is a 2021-generation Ampere card with 64 GB of GDDR6 memory and 800 GB/s bandwidth. Compute peaks at 72 FP16 TFLOPS and 18 FP32 TFLOPS; TDP sits at 250W.

The VRAM/bandwidth pairing is the defining feature for machine learning work — it determines what model sizes are accessible and how hard the card can be pushed during production inference. Power draw and cooling requirements mean most NVIDIA A16 deployments live in data centres rather than workstations, which is why most NVIDIA A16 access in practice comes via the cloud.

Two tracked cloud providers currently offer NVIDIA A16: Vultr and Cherry Servers. Vultr has the cheaper rate at $0.47/hr.

Peak performance on NVIDIA A16: 72 FP16 TFLOPS, 18 FP32 TFLOPS, 800 GB/s memory bandwidth. Those figures cap theoretical throughput, but real-world performance varies based on kernel efficiency, batch size, and model shape.

For pre-training, expect near-peak utilisation on well-optimised frameworks (PyTorch with Flash Attention, DeepSpeed, Megatron-style tensor parallelism). For serving, KV-cache bandwidth is usually the bottleneck — which is why the 800 GB/s figure often predicts latency better than FP16 TFLOPS.

On ML benchmarks NVIDIA A16 lands in the tier you'd expect from its Ampere generation, with strong performance-per-watt given the 64 GB VRAM capacity.

Deploy NVIDIA A16 on Vultr (from $0.47/hr) or Cherry Servers — check live availability and spin up in minutes.

To run NVIDIA A16, you have 2 cloud providers to choose from: Cherry Servers, Vultr. The lowest-cost currently is Vultr at $0.47 per hour on-demand, with leading on spot at per hour.

Our recommendation workflow: 1) eliminate providers without the region, compliance, or interconnect you require; 2) compare on-demand prices among the survivors; 3) add spot/reserved options for matching workloads; 4) check egress and minimum-commitment policies before signing up.

Deploy NVIDIA A16 on Vultr (from $0.47/hr) or Cherry Servers — check live availability and spin up in minutes.

NVIDIA A16 use cases cluster around Virtual desktops, lightweight inference, video streaming. Those fit its spec envelope: enough VRAM (64 GB) for real AI work, enough compute in its Ampere tensor cores for fast training, and enough bandwidth for efficient real-time serving on transformer models.

Teams typically pick NVIDIA A16 when they need more headroom than consumer-class cards but don't yet need frontier-class memory. At $0.47 per hour cloud pricing, it's a workhorse option for research labs, startups, and production real-time serving services.

Launch a NVIDIA A16 instance on Vultr at $0.47/hr, or try Cherry Servers for alternative regions and availability.