NVIDIA A100 SXM (40GB) vs NVIDIA H100 SXM — Paghahambing ng GPU (Abril 2026)
NVIDIA A100 SXM (40GB) (40GB HBM2e, 312 TFLOPS FP16, Ampere) vs NVIDIA H100 SXM (80GB HBM3, 990 TFLOPS FP16, Hopper). Cloud pricing: NVIDIA A100 SXM (40GB) from $0.80/hr, NVIDIA H100 SXM from $1.57/hr. Compare specs, VRAM, performance, and pricing across 7 cloud providers to find the best GPU for your AI workload.
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NVIDIA A100 SXM (40GB)
40GB HBM2e · Ampere
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NVIDIA H100 SXM
80GB HBM3 · Hopper
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|---|---|---|---|
| Mga Espesipikasyon | |||
| Tagagawa | NVIDIA | NVIDIA | |
| Arkitektura | Ampere | Hopper | |
| VRAM | 40 GB HBM2e | 80 GB HBM3 | |
| Bandwidth | 1,555 GB/s | 3,350 GB/s | |
| FP16 (Tensor) | 312.0 TFLOPS | 990.0 TFLOPS | |
| FP32 | 19.5 TFLOPS | 67.0 TFLOPS | |
| TDP | 400W | 700W | |
| Taon ng Paglabas | 2020 | 2023 | |
| Segmento | Data center | Data center | |
| Pinakamainam Para sa | AI training fine-tuning inference on smaller models | Large-scale AI training distributed workloads LLM pre-training | |
| Presyo sa Cloud | |||
| Pinakamurang On-Demand | $0.80/hr | $1.57/hr | |
| Pinakamurang Spot | — | $1.49/hr | |
| Mga Provider | 2 | 7 | |
| Presyo ng Provider (On-Demand) | |||
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$0.80/hr | $2.20/hr | |
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$1.14/hr | $2.99/hr | |
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Hindi naaangkop | $1.57/hr | |
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Hindi naaangkop | $1.99/hr | |
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Hindi naaangkop | $2.35/hr | |
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Hindi naaangkop | $2.59/hr | |
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Hindi naaangkop | $3.39/hr | |
NVIDIA A100 SXM (40GB)
NVIDIA H100 SXM
Mga Kaugnay na Paghahambing ng GPU
NVIDIA A100 SXM (40GB) vs NVIDIA H200 SXMNVIDIA H100 SXM vs NVIDIA H200 SXMNVIDIA A100 SXM (40GB) vs NVIDIA A100 SXM (80GB)NVIDIA H100 SXM vs NVIDIA A100 SXM (80GB)NVIDIA A100 SXM (40GB) vs NVIDIA L40SNVIDIA H100 SXM vs NVIDIA L40SNVIDIA A100 SXM (40GB) vs NVIDIA GeForce RTX 4090NVIDIA H100 SXM vs NVIDIA GeForce RTX 4090
Top Providers for NVIDIA A100 SXM (40GB) and NVIDIA H100 SXM
These 3 providers offer both NVIDIA A100 SXM (40GB) and NVIDIA H100 SXM. Full head-to-head comparison of GPU models, pricing, infrastructure, and developer tools.
Vast.ai laban sa RunPod laban sa Latitude.sh - Paghahambing ng GPU Provider (Abril 2026)
Paghahambing nang magkatabi ng Vast.ai laban sa RunPod laban sa Latitude.sh. Mabilis na suriin ang maximum funding, paghahati ng kita, mga patakaran sa panganib, leverage, mga platform, instrumento, iskedyul ng payout, mga opsyon sa pagbabayad, mga pahintulot sa trading at mga limitasyon sa KYC upang paliitin ang iyong shortlist ng prop trading firm. Datos na na-update noong Abril 2026.
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Vast.ai
Instant GPUs. Transparent Pricing.
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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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Latitude.sh
Bare metal GPU cloud sa 23 lokasyon sa buong mundo
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|---|---|---|---|
| Pangkalahatang-ideya | |||
| Rating sa Trustpilot | 4.4 | 3.7 | 3.7 |
| Punong-tanggapan | United States | United States | Brazil |
| Uri ng Provider | GPU Marketplace | Nakatuon sa GPU | Bare Metal |
| Pinakamainam Para sa | AI training inference fine-tuning Stable Diffusion batch processing research LLM serving generative AI | AI training inference fine-tuning Stable Diffusion batch processing rendering research LLM serving generative AI | Pagsasanay ng AI inference bare metal GPU fine-tuning pananaliksik dedikadong mga gawain generative AI |
| GPU Hardware | |||
| Mga Modelo ng GPU | B200 H200 H100 SXM H100 NVL A100 SXM A100 PCIe RTX 5090 RTX 5080 RTX 5070 Ti RTX 6000 Pro RTX 6000 Ada RTX 4500 Ada RTX A6000 RTX A5000 RTX A4000 L40S L40 A40 A10 RTX 4090 RTX 4080 RTX 4070 Ti RTX 4070 RTX 4060 Ti RTX 4060 RTX 3090 Ti RTX 3090 RTX 3080 Ti RTX 3080 RTX 3070 Ti RTX 3070 Tesla V100 Tesla T4 A2 GTX 1080 | 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 | A30 RTX A5000 RTX A6000 L40S RTX 6000 Ada A100 SXM H100 SXM GH200 RTX PRO 6000 |
| Max VRAM (GB) | 192 | 288 | 96 |
| Max GPUs/Bawat Instance | 8 | 8 | 8 |
| Interconnect | NVLink, InfiniBand | NVLink | NVLink |
| Pricing | |||
| Simulang Presyo ($/oras) | $0.06/hr | $0.06/hr | $0.35/hr |
| Granularidad ng Pagsingil | Bawat segundo | Bawat segundo | Kada oras |
| Spot/Preemptible | Oo | Oo | Hindi |
| Nakalaang Diskwento | Hanggang 50% (1-6 na buwan na reserved) | 15-29% (mga plano mula 1 buwan hanggang 1 taon) | Hindi naaangkop |
| Libreng Kredito | Maliit na test credit sa pag-signup | $5-$500 na bonus pagkatapos ng unang $10 na gastusin | $200 sa pamamagitan ng referral program |
| Bayad sa Paglabas | Nag-iiba depende sa host ($/TB) | Wala (Libre) | Wala |
| Storage | Nag-iiba depende sa host ($/GB/oras, sinisingil habang umiiral ang instance) | Container/Volume ($0.10/GB/buwan), Idle Volume ($0.20/GB/buwan), Network Storage ($0.07/GB/buwan 1TB) | Kasama ang lokal na NVMe (hanggang 4x 3.8TB), Block Storage $0.10/GB/buwan, Filesystem Storage $0.05/GB/buwan |
| Infrastructure | |||
| Mga Rehiyon | 500+ lokasyon, 40+ data center | 31 global na rehiyon | 23 lokasyon: US (8 lungsod), LATAM (5), Europe (5), APAC (4), Mexico City. GPU sa Dallas, Frankfurt, Sydney, Tokyo |
| Uptime SLA | Walang pormal na SLA (makikita ang host reliability scores) | 99.99% | 99.9% |
| Developer Experience | |||
| Mga Framework | PyTorch TensorFlow CUDA vLLM ComfyUI | PyTorch TensorFlow JAX ONNX CUDA | ML-optimized images PyTorch TensorFlow (user-installed) CUDA |
| Suporta sa Docker | Oo | Oo | Oo |
| SSH Access | Oo | Oo | Oo |
| Jupyter Notebooks | Oo | Oo | Hindi |
| API / CLI | Oo | Oo | Oo |
| Oras ng Setup | Segundo | Agad-agad | Segundo |
| Kubernetes Support | Hindi | Hindi | Hindi |
| Business Terms | |||
| Minimum na Commitment | Wala | Wala | Wala |
| Pagsunod sa Batas | SOC 2 Type 2 HIPAA GDPR CCPA | SOC 2 Type II | Single-tenant isolation DPA available |
Vast.ai
RunPod
Latitude.sh
Gumawa ng sarili mong paghahambing
Pumili ng kahit 2-6 na firm mula sa gabay na ito at buksan ang mga ito sa buong comparison table.
Tip: kung hindi ka pipili ng anumang firm, sisimulan namin sa top 2 mula sa gabay na ito.