All 20 providers
GPU Cloud Comparison Table
Sorted by rating. Click any provider to see full details below.
Only chasing the lowest price? Our cheapest GPU cloud ranking starts at $0.02/h. Running bursty inference instead of training? Compare serverless GPU platforms — per-second billing, scale-to-zero.
| Provider | Rating | Starting Price | Top GPUs | Highlights | Action |
|---|---|---|---|---|---|
| RunPod Editor's Choice | ★★★★★ | from $0.16/h | RTX A5000, RTX 3090 ≤80GB |
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| Lambda Labs Editor's Choice | ★★★★★ | from $0.69/h | Quadro RTX 6000, A100 40GB ≤80GB |
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| Nebius Editor's Choice | ★★★★★ | from $1.55/h | H100, H200 ≤192GB |
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| CoreWeave | ★★★★☆ | from $1.25/h | L40S, H100 SXM ≤80GB |
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| Paperspace | ★★★★☆ | from $0.45/h | A100, A6000 ≤80GB |
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| Google Cloud GPU | ★★★★☆ | from $0.71/h | A100 40GB, A100 80GB ≤80GB |
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| Together AI | ★★★★☆ | from $3.99/h | H100, H200 ≤141GB |
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| Jarvis Labs | ★★★★☆ | from $0.41/h | A30, L4 ≤80GB |
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| Hetzner GPU | ★★★★☆ | from €1.42/h | RTX 4000 SFF Ada, RTX PRO 6000 ≤80GB |
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| AWS GPU (EC2) | ★★★★☆ | from $0.53/h | A100, H100 ≤80GB |
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| Crusoe | ★★★★☆ | from $1.50/h | H100, H200 ≤192GB |
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| TensorDock | ★★★★☆ | from $0.10/h | RTX 4090, RTX 3090 ≤80GB |
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| Lyceum Editor's Choice | ★★★★☆ | from $1.19/h | A100 80GB, H100 ≤141GB |
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| Vast.ai Editor's Choice | ★★★★☆ | from $0.03/h | RTX 3090, RTX 4090 ≤80GB |
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| Azure GPU (NCv3/NDA) | ★★★★☆ | from $0.53/h | A100, H100 ≤80GB |
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| Hyperstack | ★★★★☆ | from $0.15/h | RTX A4000, RTX A6000 ≤80GB |
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| Massed Compute | ★★★★☆ | from $0.35/h | RTX A6000, A40 ≤80GB |
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| Scaleway | ★★★★☆ | from €0.79/h | L4, L40S ≤80GB |
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| OVH GPU | ★★★★☆ | from €0.36/h | T4, V100 ≤80GB |
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| Salad | ★★★★☆ | from $0.02/h | RTX 3090, RTX 4090 ≤24GB |
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GPU Cloud Price Comparison — H100 & A100 $/h
Providers advertise different starting tiers, so a headline price rarely compares like for like. Below is the cheapest published on-demand price for the same GPU, normalized to a single-GPU hourly rate (8-GPU instances divided by 8). Verified against each provider's live pricing page, July 2026.
NVIDIA H100 80GB — on-demand $/h per GPU
| Provider | $/h per GPU | Configuration |
|---|---|---|
| RunPod Cheapest | $1.99 | Community Cloud · H100 PCIe |
| Lambda Labs | $3.29 | H100 PCIe · on-demand |
| CoreWeave | $6.16 | HGX H100 · $49.24/node ÷ 8 |
| AWS | $6.88 | p5.48xlarge $55.04/h ÷ 8 |
| Azure | $6.98 | NC40ads H100 v5 · 1 GPU |
| Google Cloud | $11.06 | a3-highgpu-8g $88.49/h ÷ 8 |
NVIDIA A100 80GB — on-demand $/h per GPU
| Provider | $/h per GPU | Configuration |
|---|---|---|
| RunPod Cheapest | $1.19 | Community Cloud · A100 PCIe |
| CoreWeave | $2.70 | $21.60/node ÷ 8 |
| Lambda Labs | $2.79 | 8× A100 SXM · per GPU |
| Azure | $3.67 | NC24ads A100 v4 · 1 GPU |
| Google Cloud | $5.07 | a2-ultragpu-1g · 1 GPU |
| AWS | $5.12 | p4de.24xlarge $40.96/h ÷ 8 |
Specialist clouds (RunPod, Lambda) undercut the hyperscalers by 2–5× on identical silicon. Estimate your own workload with the GPU cost calculator. Marketplace pricing (Vast.ai) and consumer cards are excluded here — see the cheapest GPU cloud ranking for those.
Detailed Provider Reviews
In-depth analysis of each GPU cloud with pros, cons, and best-fit scenarios.
RunPod Editor's Choice
Best value GPU cloud — huge selection, community + secure cloud
- Cheapest community GPUs from $0.16/h
- Massive GPU variety including H100
- Serverless endpoints for inference APIs
- Great UI and pod management
- Community cloud less reliable than dedicated
- Storage costs add up over time
- Support can be slow on free tier
Lambda Labs Editor's Choice
On-demand H100 clusters — developer-favourite for serious ML
- Reliable on-demand H100 availability
- No complex setup — SSH ready in seconds
- Lambda Stack saves setup time
- Competitive pricing vs hyperscalers
- Limited GPU types vs RunPod
- Fewer EU datacenter options
- No serverless endpoints
Vast.ai Editor's Choice
Cheapest GPU cloud — peer-to-peer marketplace for budget training
- Absolute cheapest GPU compute available
- Widest GPU variety including consumer cards
- Good for fault-tolerant batch jobs
- Marketplace competition drives prices down
- Hosts can take instances offline anytime
- Variable reliability across providers
- Less suitable for time-sensitive inference
Paperspace
Gradient notebooks + GPU VMs — great for ML teams
- Best notebook experience of any cloud GPU
- Team collaboration features built-in
- Free tier with limited GPU hours
- Good documentation and tutorials
- Pricier than RunPod for raw compute
- Limited GPU types vs competitors
- Gradient platform has occasional issues
CoreWeave
Enterprise H100 clusters — Kubernetes-native GPU cloud
- Best multi-node GPU cluster performance
- High-speed InfiniBand interconnects
- Purpose-built for AI workloads
- Strong enterprise support
- Expensive — not for hobbyists
- Requires Kubernetes knowledge
- Sales-led process for large clusters
Hetzner GPU
EU-sovereign dedicated GPU servers — RTX PRO 6000 Blackwell 96GB
- 96GB VRAM on a single card
- EU jurisdiction and euro invoicing
- Dedicated hardware nobody else shares
- No minimum term, immediate cancellation
- Not the cheap option — €1.42/h vs €0.36/h at OVH
- Only two SKUs, one currently out of stock
- No A100, no H100, no SXM datacenter parts
- Monthly servers, not per-hour cloud VMs
OVH GPU
European GPU cloud with NVIDIA T4 and V100 options
- Strong EU data sovereignty guarantees
- Established cloud provider with SLA
- Multi-region EU availability
- Good for government/regulated industries
- Older GPU lineup (V100 still prominent)
- More complex setup vs RunPod
- Higher prices than Hetzner for GPU
Google Cloud GPU
TPU + GPU powerhouse — best ecosystem for TensorFlow
- Best TPU availability for TF workloads
- Deep Vertex AI + BigQuery integration
- Global infrastructure and reliability
- Preemptible instances cut costs significantly
- Expensive on-demand pricing
- Complex billing — easy to overspend
- Steep learning curve for GCP newcomers
AWS GPU (EC2)
Largest GPU fleet worldwide — P4/P5 instances for enterprise
- Most comprehensive ML toolchain (SageMaker)
- Spot instances for massive cost savings
- Best compliance certifications globally
- Inferentia for cost-effective inference
- Most expensive on-demand GPU pricing
- Complex pricing model
- Not beginner-friendly for pure GPU rental
Azure GPU (NCv3/NDA)
Microsoft's GPU cloud — best for Azure ML and enterprise AI
- Deep OpenAI / Azure OpenAI integration
- Best choice for Microsoft-stack enterprises
- Strong compliance and government certifications
- Azure ML Studio for no-code ML
- High on-demand pricing
- Complex portal and billing
- Vendor lock-in with Azure ecosystem
Crusoe
Climate-aligned GPU cloud — H100, H200, B200 and MI300X on green energy
- H200 HGX at $4.29/h with InfiniBand multi-node
- B200 availability while most clouds wait-list
- InfiniBand 3.2 Tb interconnects for serious multi-node
- Climate-positive operations (uses flared methane)
- Smaller GPU variety than RunPod
- Region selection limited (mostly US + Iceland)
- Sales-led for large deployments
Nebius Editor's Choice
EU-sovereign AI cloud from the Netherlands — full GDPR compliance, H100 to B200
- Strong EU data residency — perfect for German / EU enterprise
- Modern hardware including B200 SXM
- Managed cluster orchestration included
- Strong customer support in European hours
- More expensive on-demand than RunPod / Vast.ai
- EU-only regions (no US datacenters)
- Smaller global presence than hyperscalers
Together AI
Inference-first GPU cloud — H100/H200 with optimized serving stacks
- Best-in-class inference performance
- Excellent open-source model coverage
- Strong fine-tuning workflow
- Token-based pricing for variable load
- Less GPU variety than RunPod
- Focus is inference, not raw training
- Custom interconnects not exposed
Hyperstack
Global GPU cloud specialist — RTX A4000 from $0.15/h, plus H100, H200 and B200
- Outstanding entry pricing for A6000
- Full networking stack (VPC, firewall, NAT)
- UK / EU regions for European latency
- Reservation discount up to 75%
- No B200 / H200 yet (April 2026)
- Smaller marketing footprint than RunPod
- Limited template marketplace
TensorDock
Marketplace GPU cloud — RTX A4000 from $0.10/h, RTX 4090 $0.35/h, H100 SXM5 $2.25/h
- Among the cheapest H100 access in 2026
- Wide host network = better availability
- Per-second billing for short jobs
- Free egress saves on data-heavy workloads
- Reliability varies by host
- No managed cluster orchestration
- Support is community-led
Salad
Distributed inference cloud — RTX 3090 $0.09/h, RTX 4090 $0.16/h
- Cheapest consumer GPUs — RTX 3090 from $0.09/h
- Massive horizontal scale (1000+ nodes)
- Auto-fleet management for inference
- No data-egress charges
- Distributed = no persistent storage
- Not suitable for training
- Latency varies by node geography
Jarvis Labs
On-demand A30 / A100 / H100 from $0.41/h
- A30 from $0.41/h, A100 40GB from $0.89/h
- RTX Pro 6000 Blackwell — 96GB on a single card
- Polished UI for non-DevOps users
- Quick spinup, low friction
- Smaller GPU variety than RunPod
- No serverless / autoscaling
- Limited European presence
Lyceum Editor's Choice
EU-sovereign AI cloud — H100 to H200 with full data residency
- Strong EU data residency (no US transit)
- H200 availability in Europe
- ISO 27001 + SOC 2 certifications
- European billing and contracts
- Smaller capacity than US-based clouds
- Higher base price than RunPod / Vast.ai
- Limited GPU variety beyond Nvidia
Massed Compute
Workstation-grade GPUs for AI/ML/VFX — A100 from $1.79/h
- Strong A6000 / A40 lineup at moderate price
- Pre-built VFX and AI templates
- RDP/VNC for visual workflows
- Per-second billing
- US-only datacenters
- No serverless inference
- Smaller community than RunPod
Scaleway
European cloud with H100 SXM and L40S — Paris and Amsterdam regions
- Strong EU presence (Paris + Amsterdam)
- Mature cloud platform (S3, k8s, networking)
- Per-minute billing
- EUR pricing avoids USD volatility
- More expensive than US specialists like RunPod
- No B200 / H200 yet
- Limited capacity for big training runs
Frequently Asked Questions
What is the cheapest GPU cloud in 2026?
RunPod is the best-value GPU cloud in 2026 — from $0.16/h (RTX A5000 Community Cloud) with the strongest price-to-reliability ratio of the 20 providers we test, plus Serverless endpoints and persistent volumes. If you only chase the absolute lowest price: Vast.ai marketplace instances start at $0.10/h (interruptible).
Is RunPod reliable enough for production?
RunPod's Secure Cloud is reliable for production with dedicated datacenter hardware. Community Cloud is cheaper but hosts can take instances offline. For always-on inference, use Secure Cloud or Lambda Labs.
Which GPU cloud has H100s available?
Lambda Labs, CoreWeave, RunPod, AWS (p5), and Google Cloud all offer H100 access. CoreWeave has the largest H100 cluster inventory. Prices range from ~$2/h (Lambda) to $4+/h (AWS on-demand).
Should I use AWS/GCP/Azure or a specialist GPU cloud?
For pure GPU compute, specialist clouds (RunPod, Lambda, Vast.ai) are 2–5× cheaper than hyperscalers. Use AWS/GCP/Azure only if you need tight ML service integration (SageMaker, Vertex AI) or strict enterprise compliance.
What GPU do I need for fine-tuning Llama 3 70B?
You need at least an A100 80GB, or 2× A100 40GB in NVLink. For Llama 3 8B, a 24GB RTX 3090/4090 is sufficient. RunPod is the best value option for both.