A100 variant with reduced interconnect for export-restricted markets.
Weekly median price per GPU per hour
By provider shows one card per company, placed where its best offer ranked. By configuration lists every offer.
What you can rent comes first: in stock, then waitlist, then not reported, then out of stock. Priced offers rank ahead of quote-only, and on-demand ahead of other billing types.
Within a group, five factors set the order:
We match the provider, its country, GPU model, form factor, billing type, availability and instance name. Matching is partial and case-insensitive. Everyday words work too, so "interruptible" finds spot and "sold out" finds out of stock.
Singapore
4 configs
1x-8x
No providers match .
Heads up: A provider's own page may quote a different figure, for example on tax, region or a promotion. A monthly-only plan shows a derived hourly rate. Verify before provisioning. More on how we price.
One A800 has 40 GB of VRAM. In practice, that's enough memory for roughly 47B parameters at 4-bit or 13B at 16-bit, assuming a 32K context. Below are some open-weight LLMs, with the estimated memory and GPUs each one needs.
| Model | Memory (INT4 / FP4) | A800s needed | Cost /hr | Cost /mo |
|---|---|---|---|---|
Qwen3.8-27B
27B
|
19 GB
|
1
|
–
|
–
|
Gemma 4 31B
30.7B
|
24 GB
|
1
|
–
|
–
|
GPT-OSS-120B
117B · 5.1B active
|
68 GB
|
2
|
–
|
–
|
GLM-5.3-Flash
320B · 18B active
|
178 GB
|
5
|
–
|
–
|
MiniMax-M3
428B · 23B active
|
241 GB
|
7
|
–
|
–
|
DeepSeek V4.1 Flash
552B · 16B active
|
306 GB
|
9
|
–
|
–
|
Kimi K3
2.8T · 104B active
|
1,545 GB
|
43
|
–
|
–
|
Estimates based on the median on-demand rate. Memory is weights plus FP16/BF16 KV cache at 32K context per request. GPU counts assume 90% of advertised VRAM is usable. No guarantee of runtime support, usable performance, or that a matching quantized build exists. How we estimate costs.
Nvidia A800 · Per GPU
| Compute · dense | |
|---|---|
| FP16 / BF16 | 312 TFLOPS 624 with sparsity |
| INT8 | 623.5 TOPS 1,247 with sparsity |
| FP32 | 19.5 TFLOPS |
| FP64 | 9.7 TFLOPS |
| Precision support | FP16BF16TF32FP32FP64INT4INT8 |
| Memory | |
|---|---|
| Capacity | 40 GB HBM2 |
| Bandwidth | 1,555 GB/s |
| Bus width | 5,120-bit |
| ECC | Yes |
| Silicon | |
|---|---|
| Architecture | Ampere |
| Process | TSMC N7 |
| Transistors | 54.2 billion |
| Shader cores | 6,912 CUDA cores |
| Matrix cores | 432 Tensor cores |
| Compute units | 108 SMs |
| Fabric and host | |
|---|---|
| GPU interconnect | NVLink 400 GB/s |
| Host interface | PCIe 4.0 x16 |
| Power | |
|---|---|
| Board power | 240 W |
| Cooling | Active |
| Platform | |
|---|---|
| Partitioning | MIG, up to 7 instances |
Source: official Nvidia A800 datasheet.
As of September 13, 2026, we track 4 configs from 1 provider. Prices are per GPU per hour.
| Billing type | Configs | Cheapest |
|---|---|---|
On-demand | 4 | $1.18 (in stock, GPUhub) |
No median for on-demand: we only show this when at least 3 providers list the GPU on that billing type.
The cheapest verified in-stock on-demand A800 tracked by GetDeploying is $1.18 per GPU per hour from GPUhub.
The cheapest verified in-stock estimate is $850 per month on-demand.
GetDeploying currently tracks A800 configs from 1 provider. GPUhub has verified in-stock on-demand configs. See the full price comparison above for every provider and config.
One A800 runs models up to roughly 47B parameters at 4-bit quantization or 13B at 16-bit, assuming a 32K context. Larger models run across multiple GPUs: the model table above shows the estimated memory and GPU count for popular open-weight LLMs.
80GB HBM2e, similar to A100 but available in China. 400 GB/s NVLink supports multi-GPU configurations. Mature Ampere software compatibility.
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