7B/8B inference
Recommended
NVIDIA · Ampere
NVIDIA A100 SXM 80GB
Best for proven CUDA workloads, LoRA fine-tuning, research and stable production inference.
Monthly rental
USD 915/month
~ USD 1.25/hour based on a 730-hour month
Availability: Available
Compare GPUsTechnical specifications
Identity
| Vendor | NVIDIA |
|---|---|
| Model | NVIDIA A100 SXM 80GB |
| SKU | A100 SXM 80GB |
| Architecture | Ampere |
| Hardware class | datacenter gpu |
Memory
| VRAM | 80 GB |
|---|---|
| Memory type | HBM2e |
| Memory bandwidth | 2039 GB/s |
Compute
| Precision | Dense | With sparsity |
|---|---|---|
| FP64 | 9.7 TFLOPS | — |
| FP64 Tensor | 19.5 TFLOPS | — |
| FP32 | 19.5 TFLOPS | — |
| TF32 Tensor | 156 TFLOPS | 312 TFLOPS |
| BF16 Tensor | 312 TFLOPS | 624 TFLOPS |
| FP16 Tensor | 312 TFLOPS | 624 TFLOPS |
| INT8 Tensor | 624 TOPS | 1248 TOPS |
Platform
| Form factor / interface | SXM module |
|---|---|
| Interface | PCIe Gen4 x16 host interface |
| TDP | 400 W |
| NVLink | 600 GB/s NVLink |
| NVSwitch | Supported |
| MIG | Up to 7 MIGs @ 10 GB |
| Max GPUs per node | 8 |
Software
| CUDA | Supported |
|---|---|
| Verification | OFFICIAL_VENDOR |
| Source | www.nvidia.com |
Workload fit
- LLM inferenceVery Good
- LLM fine-tuningVery Good
- Full model trainingVery Good
- Image / video generationVery Good
- Embeddings / rerankingExcellent
Frameworks
- PyTorch
- TensorFlow
- JAX
- Hugging Face
- vLLM
- TensorRT
- ONNX Runtime
- CUDA
Model compatibility guidance
13B/14B inference
Recommended with quantisation or FP16/BF16 headroom review
30B/32B inference
Recommended with quantisation for production headroom
65B/70B inference
Recommended for quantised inference; review context and concurrency
Fine-tuning
Suitable for LoRA/QLoRA; full fine-tuning depends on model size and topology
Large training
Use multi-GPU nodes with high-bandwidth topology
Related GPUs
NVIDIA H100 SXM 80GB
80 GB HBM3 · Available
USD 1,860/month
NVIDIA H100 PCIe 80GB
80 GB HBM2e · Limited availability
USD 1,579/month
NVIDIA L40S 48GB
48 GB GDDR6 ECC · Available
USD 506/month
AI GPU hosting FAQ
Is NVIDIA A100 SXM 80GB suitable for LLM inference?
NVIDIA A100 SXM 80GB is rated Very Good for inference in the FusionPointAI catalogue. Final sizing still depends on model size, precision, context length and concurrency.
How is monthly GPU pricing calculated?
The public monthly price is the authoritative price version. The displayed hourly equivalent is derived from that monthly price using a 730-hour month.
Can I rent more than one GPU?
Multi-GPU configurations are supported when inventory and node topology allow it. This SKU currently lists up to 8 GPUs per node.