NVIDIA H100 SXM vs NVIDIA L4 — GPU Comparison (Apr 2026)
NVIDIA H100 SXM (80GB HBM3, 990 TFLOPS FP16, Hopper) vs NVIDIA L4 (24GB GDDR6, 121 TFLOPS FP16, Ada Lovelace). Cloud pricing: NVIDIA H100 SXM from $1.57/hr, NVIDIA L4 from $0.39/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 H100 SXM
80GB HBM3 · Hopper
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NVIDIA L4
24GB GDDR6 · Ada Lovelace
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| Specifications | |||
| Manufacturer | NVIDIA | NVIDIA | |
| Architecture | Hopper | Ada Lovelace | |
| VRAM | 80 GB HBM3 | 24 GB GDDR6 | |
| Memory Bandwidth | 3,350 GB/s | 300 GB/s | |
| FP16 (Tensor) | 990.0 TFLOPS | 121.0 TFLOPS | |
| FP32 | 67.0 TFLOPS | 30.3 TFLOPS | |
| TDP | 700W | 72W | |
| Release Year | 2023 | 2023 | |
| Segment | Data center | Data center | |
| Best For | Large-scale AI training distributed workloads LLM pre-training | Inference video transcoding lightweight AI workloads | |
| Cloud Pricing | |||
| Cheapest On-Demand | $1.57/hr | $0.39/hr | |
| Cheapest Spot | $1.49/hr | — | |
| Providers | 7 | 1 | |
| Provider Pricing (On-Demand) | |||
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$1.57/hr | N/A | |
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$1.99/hr | N/A | |
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$2.20/hr | N/A | |
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$2.35/hr | N/A | |
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$2.59/hr | N/A | |
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$2.99/hr | $0.39/hr | |
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$3.39/hr | N/A | |
NVIDIA H100 SXM
NVIDIA L4
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RunPod vs Latitude.sh vs Vultr - GPU Provider Comparison (April 2026)
Side-by-side comparison of RunPod vs Latitude.sh vs Vultr. Quickly compare GPU models, hourly pricing, spot instances, billing granularity, VRAM, regions, developer tools, Kubernetes support, and compliance to narrow down your cloud GPU provider shortlist. Data updated April 2026.
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RunPod
The cloud built for AI — deploy and scale GPU workloads from serverless inference to instant multi-node clusters on demand.
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Latitude.sh
Bare metal GPU cloud across 23 global locations
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Vultr
High-performance cloud GPU across 32 global regions
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|---|---|---|---|
| Overview | |||
| Trustpilot Rating | 3.7 | 3.7 | 1.8 |
| Headquarters | United States | Brazil | United States |
| Provider Type | GPU-Focused | Bare Metal | Multi-Cloud |
| Best For | AI training inference fine-tuning Stable Diffusion batch processing rendering research LLM serving generative AI | AI training inference bare metal GPU fine-tuning research dedicated workloads generative AI | AI training inference video rendering HPC Stable Diffusion game development generative AI fine-tuning research |
| GPU Hardware | |||
| GPU Models | 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 | A16 A40 L40S A100 PCIe GH200 A100 SXM H100 SXM B200 B300 MI300X MI325X MI355X |
| Max VRAM (GB) | 288 | 96 | 288 |
| Max GPUs/Instance | 8 | 8 | 16 |
| Interconnect | NVLink | NVLink | NVLink |
| Pricing | |||
| Starting Price ($/hr) | $0.06/hr | $0.35/hr | $0.47/hr |
| Billing Granularity | Per-second | Per-hour | Per-hour |
| Spot/Preemptible | Yes | No | Yes |
| Reserved Discounts | 15-29% (1-month to 1-year plans) | N/A | N/A |
| Free Credits | $5-$500 bonus after first $10 spend | $200 via referral program | Up to $300 free credit for 30 days |
| Egress Fees | None (Free) | None | Standard (varies by plan) |
| Storage | Container/Volume ($0.10/GB/mo), Idle Volume ($0.20/GB/mo), Network Storage ($0.07/GB/mo 1TB) | Local NVMe included (up to 4x 3.8TB), Block Storage $0.10/GB/mo, Filesystem Storage $0.05/GB/mo | 350 GB - 61 TB NVMe (included), Block Storage at $0.10/GB/mo, S3-compatible Object Storage |
| Infrastructure | |||
| Regions | 31 global regions | 23 locations: US (8 cities), LATAM (5), Europe (5), APAC (4), Mexico City. GPU in Dallas, Frankfurt, Sydney, Tokyo | 32 regions across 6 continents (Americas, Europe, Asia, Australia, Africa) |
| Uptime SLA | 99.99% | 99.9% | 100% |
| Developer Experience | |||
| Frameworks | PyTorch TensorFlow JAX ONNX CUDA | ML-optimized images PyTorch TensorFlow (user-installed) CUDA | PyTorch TensorFlow CUDA cuDNN ROCm Hugging Face NVIDIA NGC |
| Docker Support | Yes | Yes | Yes |
| SSH Access | Yes | Yes | Yes |
| Jupyter Notebooks | Yes | No | Yes |
| API / CLI | Yes | Yes | Yes |
| Setup Time | Instant | Seconds | Minutes |
| Kubernetes Support | No | No | Yes |
| Business Terms | |||
| Min Commitment | None | None | None |
| Compliance | SOC 2 Type II | Single-tenant isolation DPA available | SOC 2+ (HIPAA) PCI ISO 27001 ISO 27017 ISO 27018 ISO 20000-1 CSA STAR Level 1 |
RunPod
Latitude.sh
Vultr
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