The NVIDIA A100 is the data-center GPU that trained a generation of large AI models. In 2026 the H100, H200 and B200 are faster, but the A100 remains a cost-effective workhorse for AI training, fine-tuning and LLM inference, especially the 80 GB version.
In this 2026 guide we cover the NVIDIA A100’s specs, what it can (and cannot) do today, where you can still rent it, and which GPU to choose instead if you need more power for AI.
Table of Contents
NVIDIA A100 Specifications
| Spec | NVIDIA A100 |
|---|---|
| Architecture | Ampere (GA100), 2020 |
| CUDA cores | 6,912 |
| Tensor cores | 432 (3rd gen, TF32/BF16) |
| Memory | 40 GB or 80 GB HBM2e |
| Memory bandwidth | up to ~2 TB/s (80 GB) |
| Multi-Instance GPU | Up to 7 instances |
Is the NVIDIA A100 Still Worth Renting in 2026?
Yes. A100 prices have dropped a lot: from about $0.43/hour on marketplaces and $1.19/hour on RunPod. The 80 GB model runs 70B LLMs in 8-bit and gpt-oss-120b on a single GPU.
What it is good for
- Fine-tuning and training AI models (BF16/TF32)
- 70B LLMs in 8-bit, 120B MoE models in 4-bit
- Multi-Instance GPU (MIG) for many small workloads
- HPC and scientific computing
AI workloads on the NVIDIA A100
70B LLMs in 8-bit, gpt-oss-120b on a single GPU, and full fine-tuning of 7–13B models.
Best NVIDIA A100 Hosting Providers
1. RunPod
- Per-second billing in 30+ regions
- Templates for ComfyUI, vLLM, Ollama and PyTorch
- Serverless AI endpoints
- A100 PCIe $1.19/hr · SXM $1.39/hr (Community)
Pros
- Very cheap RTX cards on Community Cloud
- Start a GPU in about a minute
- Great AI templates
Cons
- Storage billed while pods are stopped
- Community hosts vary in reliability
RunPod rents the A100 80GB from $1.19/hour (PCIe) and $1.39/hour (SXM) on Community Cloud.
2. Lambda
- On-demand GPU cloud built for AI
- Lambda Stack: CUDA, PyTorch and drivers pre-installed
- 1× to 8× GPU instances and clusters
- A100 40GB $1.99/hr · 80GB SXM $2.79/hr
Pros
- Reliable data-center GPUs
- No egress fees
- Simple hourly pricing
Cons
- Popular GPUs sell out
- No monthly dedicated plans
Lambda offers A100 40 GB at $1.99/hour and A100 80 GB SXM at $2.79/hour.
3. GPU Mart
- Dedicated GPU servers and GPU VPS in US data centers
- Enterprise Dedicated A100 40 GB / 80 GB; 4× A100 server
- Windows or Linux with full admin access
- A100 40GB $639/mo · 80GB $1,559/mo · 4× A100 $1,899/mo
Pros
- Very low monthly prices
- Dedicated hardware, no noisy neighbours
- One-click AI apps (Ollama, Stable Diffusion)
Cons
- Monthly billing only
- US locations only
GPU Mart offers an A100 40 GB for $639/month, an A100 80 GB for $1,559/month and a 4× A100 server for $1,899/month.
4. HOSTKEY
- GPU servers in the EU and US
- Hourly or monthly billing
- Pre-installed AI stack (Ollama, Open WebUI, ComfyUI)
- A100 80GB €1,300/mo
Pros
- GDPR-friendly EU hosting
- Wide range from GTX 1080 Ti to H100
- Flexible billing
Cons
- Popular GPUs sell out
- Slower setup than cloud pods
HOSTKEY offers an A100 80 GB server from €1,300/month.
5. Vast.ai
- Marketplace with 68+ GPU types
- Per-second billing, interruptible discounts
- Docker templates for AI and gaming workloads
- Market pricing: RTX 4090 from ~$0.30/hr · A100 80GB from ~$0.43/hr · interruptible 50%+ cheaper
Pros
- Often the cheapest hourly prices
- Huge choice of consumer GPUs
- No long-term commitment
Cons
- Quality varies by host
- Availability of older cards changes daily
Vast.ai lists A100 80GB cards from roughly $0.43/hour on-demand, the lowest prices we have seen.
NVIDIA A100 vs Alternatives (Monthly Prices)
If your workload needs more speed or VRAM, these are the closest upgrades available as hosted servers today:
| GPU | VRAM | From | Notes |
|---|---|---|---|
| H100 | 80 GB | $1.99/hr (RunPod) · $2,099/mo | 2–3× faster for LLMs |
| H200 | 141 GB | $3.59/hr (RunPod) | More memory for big models |
| RTX PRO 6000 | 96 GB | $649/mo (VPS) | More VRAM, lower cost |
| L40S | 48 GB | $0.79/hr (RunPod) | Cheaper inference |
How to Choose
- Match VRAM to your AI model. 8 GB for 7–8B LLMs, 16 GB for 14–24B, 24 GB for 27–32B, 48 GB for 70B in 4-bit.
- Hourly vs monthly. For tests and short jobs use RunPod or Vast.ai. For 24/7 use, compare the monthly total (hourly price × 730 hours) with a fixed-price monthly server from GPU Mart or HOSTKEY, which includes the whole machine, storage and bandwidth.
- Dedicated vs shared. Dedicated servers give stable performance; marketplace GPUs are cheaper but vary by host.
- Location. Pick EU hosting (HOSTKEY, OVHcloud) for GDPR-sensitive data.
FAQ
From about $0.43/hour on Vast.ai, $1.19/hour on RunPod, or monthly from $639 (40 GB) and $1,559 (80 GB) at GPU Mart.
The H100 is 2–3× faster for LLM training and inference. If your budget is tight or your model fits comfortably, the A100 gives better value.
Yes, in 8-bit (about 70 GB) or 4-bit with lots of room for context.
Conclusion
The A100 is still a great-value AI GPU in 2026. Use RunPod or Vast.ai for hourly work, Lambda for reliable clusters, or GPU Mart and HOSTKEY for monthly servers.
Prices were checked in September 2026 and change often. Always confirm current pricing on the provider’s website before you order.