How does NVIDIA A30 benchmark against H100?
Sagot
Benchmarked performance on NVIDIA A30: 165 TFLOPS in FP16, 10.3 TFLOPS in FP32, 933 GB/s memory bandwidth, 24 GB VRAM.
For the workloads most engineers care about — model training transformer-family models, serving LLM low-latency inference, running diffusion and vision pipelines — those specs are enough to sustain batch sizes that keep tensor cores busy. Expect wall-clock gains versus previous-generation Ampere cards to range from 1.5x to 3x depending on workload shape.
Launch a NVIDIA A30 instance on Massed Compute at $0.25/hr, or try RunPod for alternative regions and availability.
Higit pang FAQs tungkol sa NVIDIA A30
Massed Compute vs RunPod - Paghahambing ng GPU Provider (Abril 2026)
Direktang paghahambing ng Massed Compute at RunPod. Tingnan ang max funding, paghahati ng kita, araw-araw at pangkalahatang mga patakaran sa drawdown, leverage, mga assets na maaaring i-trade, dalas ng payout, mga paraan ng pagbabayad at payout, mga pahintulot sa trading at mga limitasyon sa KYC bago ka bumili ng challenge. Datos na na-refresh noong Abril 2026.
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Massed Compute
GPU cloud na may direktang suporta mula sa engineer
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RunPod
Ang ulap na ginawa para sa AI — mag-deploy at mag-scale ng GPU workloads mula sa serverless inference hanggang sa instant multi-node clusters ayon sa pangangailangan.
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| Pangkalahatang-ideya | ||
| Rating sa Trustpilot | 0 | 3.7 |
| Punong-tanggapan | United States | United States |
| Uri ng Provider | Nakatuon sa GPU | Nakatuon sa GPU |
| Pinakamainam Para sa | AI training inference VFX rendering generative AI fine-tuning HPC Stable Diffusion pananaliksik | AI training inference fine-tuning Stable Diffusion batch processing rendering research LLM serving generative AI |
| GPU Hardware | ||
| Mga Modelo ng GPU | A30 RTX A5000 RTX A6000 L40S A100 SXM H100 PCIe H100 SXM H100 NVL RTX PRO 6000 H200 NVL | B300 B200 H200 H100 SXM H100 PCIe H100 NVL MI300X A100 SXM A100 PCIe RTX 5090 RTX PRO 6000 L40S L40 RTX 6000 Ada RTX 5000 Ada RTX A6000 RTX A5000 RTX 4090 RTX 4080 SUPER RTX 4080 RTX 4070 Ti RTX 3090 Ti RTX 3090 RTX 3080 Ti RTX 3080 RTX 3070 A40 A30 A2 L4 |
| Max VRAM (GB) | 141 | 288 |
| Max GPUs/Bawat Instance | 8 | 8 |
| Interconnect | NVLink | NVLink |
| Pagpepresyo | ||
| Simulang Presyo ($/oras) | $0.35/hr | $0.06/hr |
| Granularidad ng Pagsingil | Bawat minuto | Bawat segundo |
| Spot/Preemptible | Hindi | Oo |
| Nakalaang Diskwento | Hindi naaangkop | 15-29% (mga plano mula 1 buwan hanggang 1 taon) |
| Libreng Kredito | Wala | $5-$500 na bonus pagkatapos ng unang $10 na gastusin |
| Bayad sa Paglabas | Wala | Wala (Libre) |
| Storage | Kasama ang lokal na NVMe sa mga instance | Container/Volume ($0.10/GB/buwan), Idle Volume ($0.20/GB/buwan), Network Storage ($0.07/GB/buwan 1TB) |
| Imprastruktura | ||
| Mga Rehiyon | Estados Unidos (Tier III data centers) | 31 global na rehiyon |
| Uptime SLA | Tier III (99.98% disenyo) | 99.99% |
| Karanasan ng Developer | ||
| Mga Framework | PyTorch TensorFlow CUDA cuDNN ComfyUI pre-configured na ML templates | PyTorch TensorFlow JAX ONNX CUDA |
| Suporta sa Docker | Oo | Oo |
| SSH Access | Oo | Oo |
| Jupyter Notebooks | Hindi | Oo |
| API / CLI | Oo | Oo |
| Oras ng Setup | Minuto | Agad-agad |
| Suporta sa Kubernetes | Hindi | Hindi |
| Mga Termino ng Negosyo | ||
| Minimum na Commitment | Wala | Wala |
| Pagsunod sa Batas | SOC 2 Type II HIPAA | SOC 2 Type II |
Massed Compute
RunPod