AmpereML Workhorse

Rent NVIDIA A100 40GB

Rent NVIDIA A100 40GB HBM2 GPU cloud instances from $2.62/hr. Ideal for AI model training, LLM fine-tuning, and scientific computing. Multi-GPU NVLink clusters available. Deploy on VoltageGPU.

✓ 40 GB HBM2 high-bandwidth memory✓ 312 TFLOPS FP16 with Tensor Cores✓ NVLink 3.0 for multi-GPU scaling✓ 36% cheaper than AWS
Deploy NowView Pricing

Starting from

$2.62/hr

~$62.88/day

~$1,886.4/month (24/7)

Deploy A100 40GB

Per-minute billing · No commitment

A100 40GB Technical Specifications

VRAM

40 GB HBM2

Memory Type

HBM2

Memory Bandwidth

1,555 GB/s

CUDA Cores

6,912

Tensor Cores

432

FP16 Performance

312 TFLOPS

FP32 Performance

19.5 TFLOPS

TDP

250W (SXM) / 300W (PCIe)

Architecture

Ampere

Interconnect

NVLink 3.0 / PCIe 4.0

Included Storage

200 GB NVMe SSD

vCPUs

12 vCPUs

System RAM

64 GB DDR4 ECC

Manufacturer

NVIDIA

A100 40GB Cloud Pricing

See how VoltageGPU compares to other cloud GPU providers.

ProviderHourly RateEst. Monthlyvs VoltageGPU
VoltageGPUYou$2.62$1,886.4—
RunPod$2.89$2,0819% cheaper
Vast.ai$2.75$1,9805% cheaper
Lambda$3.09$2,22515% cheaper
AWS (p4d.24xl / per GPU)$4.10$2,95236% cheaper

Competitor pricing sourced from public pages as of March 2026. Prices may vary.

What Can You Do with the A100 40GB?

Popular workloads and use cases for NVIDIA A100 40GB cloud instances.

🏋️

Model Training

Train medium to large models end-to-end. The 40 GB HBM2 memory handles most model architectures for research and production training runs.

🧠

LLM Fine-Tuning

Full fine-tuning of 13B models or LoRA fine-tuning of 70B models. The A100 40GB is the workhorse of the ML industry.

🔗

Multi-GPU Training

Scale across multiple A100s with NVLink for distributed training of large models using DeepSpeed, FSDP, or Megatron-LM.

🔬

Scientific Computing

Run molecular dynamics, climate simulations, and computational fluid dynamics with high-bandwidth memory and strong FP64 performance.

A100 40GB Performance Benchmarks

Relative performance scores across common workload categories (B200 = 100).

Training68/100
Inference72/100
Fine-Tuning75/100
Rendering50/100

Deploy A100 40GB via API

Programmatically launch a A100 40GB instance with a single API call.

terminal
curl -X POST https://api.voltagegpu.com/v1/pods \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "gpu": "a100-40gb",
    "gpu_count": 1,
    "template": "pytorch-2.2",
    "storage_gb": 200,
    "name": "my-a100-40gb-instance"
  }'

A100 40GB — Frequently Asked Questions

What is the difference between A100 40GB and A100 80GB?+
The primary difference is VRAM capacity: 40 GB HBM2 vs 80 GB HBM2e. The 80 GB variant also offers higher memory bandwidth (2,039 GB/s vs 1,555 GB/s). Choose the 40 GB for workloads that fit within its memory (most training up to 13B params full precision, 70B quantized) and the 80 GB for larger models.
Can the A100 40GB train a 70B model?+
Not in full precision on a single GPU. You can fine-tune 70B models with QLoRA (4-bit quantization) using about 24 GB VRAM, which fits the A100 40GB. For full-parameter training of 70B models, you would need multiple A100 80GB GPUs or H100s.
Does VoltageGPU offer multi-GPU A100 clusters?+
Yes. You can deploy pods with 1, 2, 4, or 8 A100 GPUs connected via NVLink for high-bandwidth inter-GPU communication. This is ideal for distributed training with frameworks like DeepSpeed ZeRO or PyTorch FSDP.
Is the A100 40GB PCIe or SXM?+
Our A100 40GB fleet includes both SXM and PCIe variants. SXM variants provide higher power and slightly better performance. When deploying multi-GPU pods, SXM variants with NVLink are automatically selected for optimal inter-GPU bandwidth.
How does VoltageGPU A100 pricing compare to AWS?+
VoltageGPU A100 40GB instances start at $2.62/hr, compared to approximately $4.10/hr per GPU on AWS p4d instances. That is a 36% savings, with no long-term commitment required. You pay only for what you use, billed per minute.

A100 40GB — Related Resources

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Full Pricing Details

View pricing for all GPU models and AI inference API with no hidden fees.

Browse Available GPU Pods

See real-time GPU availability and deploy a pod in under 60 seconds.

Start using the A100 40GB today

Deploy a A100 40GB instance in 30 seconds. No upfront costs, no long-term contracts. Per-minute billing starting at $2.62/hr.

Deploy A100 40GB Now