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GPU Cloud · NVIDIA · Ampere

Rent an NVIDIA A100 PCIE GPU with 40 GB VRAM

Rent A100 PCIE cloud GPU servers by the hour on Cloudj: 40 GB VRAM, Ampere architecture and about 1313 GB/s of memory bandwidth for LLM and training jobs. It is the practical datacenter step for ML engineers whose models no longer fit on a gaming card, with 15.6 TFLOPS FP32, a 250 W power limit and compute capability 8.0. Pick a live configuration, start from the Ubuntu 22.04 + CUDA or PyTorch + JupyterLab template and connect over SSH with your key.

A100 PCIE specifications

VRAM per GPU

40 GB

Architecture

NVIDIA Ampere

Compute capability

8

FP32 compute

≈ 15.6 TFLOPS

Memory bandwidth

≈ 1313 GB/s

Power limit

250 W

Values reported by the infrastructure provider for machines currently listed; real performance varies by machine.

Live A100 PCIE configurations and prices

From $0.50/h

incl. 32 GB disk · Live price, updated every 15 minutes

Deploy

What you can run on the A100 PCIE cloud GPU

Serve 13B–34B models with vLLM

40 GB holds a 13B model in 16-bit or a quantized 30B-class model, and 1313 GB/s keeps token generation moving under concurrent requests.

LoRA and QLoRA fine-tuning

Fine-tune 7B–13B language models on your own data with Unsloth or plain PyTorch in BF16, without squeezing batch size to fit.

Mixed-precision training runs

Train vision, speech or tabular models in BF16 on a stable datacenter card instead of renting a full multi-GPU node.

Embeddings and batch inference

Push large document sets through embedding or classification models overnight and delete the server when the batch is done.

Is the A100 PCIE the right GPU for your workload?

Choose the A100 PCIE 40 GB when your workloads exceed the memory limits of consumer GPUs and require high-bandwidth datacenter hardware. Opt for a smaller consumer GPU for lightweight inference, or step up to a higher-VRAM datacenter model if your unquantized models or batch sizes exceed 40 GB.

A100 PCIE vs similar cloud GPUs

GPUVRAM per GPUFP32 computePower limit
NVIDIA A100 PCIE40 GB≈ 15.6 TFLOPS250 W
NVIDIA A100 SXM440 GB≈ 15.6 TFLOPS400 WDetails →
NVIDIA A4048 GB≈ 29.9 TFLOPS300 WDetails →
NVIDIA L40S48 GB≈ 73.3 TFLOPS350 WDetails →
NVIDIA Tesla P4024 GB≈ 9.4 TFLOPS250 WDetails →

A100 PCIE cloud GPU: frequently asked questions

Rent the A100 PCIE cloud GPU by the hour

Pick a live configuration, choose a template and connect over SSH with your key. Billing stops when you destroy the instance.