Alle 20 Anbieter
GPU-Cloud-Vergleichstabelle
Sortiert nach Bewertung. Auf einen Anbieter klicken für vollständige Details unten.
Nur auf der Suche nach dem niedrigsten Preis? Unser Ranking der günstigsten GPU-Clouds beginnt bei 0,03 $/h. Für unregelmäßige Inferenz-Workloads mit sekundengenauer Abrechnung lohnt sich der Blick auf Serverless-GPU-Plattformen.
| Anbieter | Bewertung | Einstiegspreis | Top-GPUs | Highlights | Aktion |
|---|---|---|---|---|---|
| RunPod Redakteurs-Wahl | ★★★★★ | from $0.16/h | RTX A5000, RTX 3090 ≤80GB |
| Preise ansehen |
| Lambda Labs Redakteurs-Wahl | ★★★★★ | from $0.69/h | Quadro RTX 6000, A100 40GB ≤80GB |
| Preise ansehen |
| Nebius Redakteurs-Wahl | ★★★★★ | from $1.55/h | H100, H200 ≤192GB |
| Preise ansehen |
| CoreWeave | ★★★★☆ | from $1.25/h | L40S, H100 SXM ≤80GB |
| Preise ansehen |
| Paperspace | ★★★★☆ | from $0.45/h | A100, A6000 ≤80GB |
| Preise ansehen |
| Google Cloud GPU | ★★★★☆ | from $0.71/h | A100 40GB, A100 80GB ≤80GB |
| Preise ansehen |
| Together AI | ★★★★☆ | from $3.99/h | H100, H200 ≤141GB |
| Preise ansehen |
| Jarvis Labs | ★★★★☆ | from $0.41/h | A30, L4 ≤80GB |
| Preise ansehen |
| Hetzner GPU | ★★★★☆ | from €1.42/h | RTX 4000 SFF Ada, RTX PRO 6000 ≤80GB |
| Preise ansehen |
| AWS GPU (EC2) | ★★★★☆ | from $0.53/h | A100, H100 ≤80GB |
| Preise ansehen |
| Crusoe | ★★★★☆ | from $1.50/h | H100, H200 ≤192GB |
| Preise ansehen |
| TensorDock | ★★★★☆ | from $0.10/h | RTX 4090, RTX 3090 ≤80GB |
| Preise ansehen |
| Lyceum Redakteurs-Wahl | ★★★★☆ | from $1.19/h | A100 80GB, H100 ≤141GB |
| Preise ansehen |
| Vast.ai Redakteurs-Wahl | ★★★★☆ | from $0.03/h | RTX 3090, RTX 4090 ≤80GB |
| Preise ansehen |
| Azure GPU (NCv3/NDA) | ★★★★☆ | from $0.53/h | A100, H100 ≤80GB |
| Preise ansehen |
| Hyperstack | ★★★★☆ | from $0.15/h | RTX A4000, RTX A6000 ≤80GB |
| Preise ansehen |
| Massed Compute | ★★★★☆ | from $0.35/h | RTX A6000, A40 ≤80GB |
| Preise ansehen |
| Scaleway | ★★★★☆ | from €0.79/h | L4, L40S ≤80GB |
| Preise ansehen |
| OVH GPU | ★★★★☆ | from €0.36/h | T4, V100 ≤80GB |
| Preise ansehen |
| Salad | ★★★★☆ | from $0.02/h | RTX 3090, RTX 4090 ≤24GB |
| Preise ansehen |
GPU-Cloud-Preisvergleich — H100 & A100 $/h
Anbieter bewerben unterschiedliche Einstiegstarife, deshalb vergleicht ein Schlagzeilenpreis selten gleich mit gleich. Unten steht der günstigste veröffentlichte On-Demand-Preis für dieselbe GPU, umgerechnet auf einen Einzel-GPU-Stundensatz (8-GPU-Instanzen durch 8 geteilt). Gegen die Live-Preisseite jedes Anbieters geprüft, Juli 2026.
NVIDIA H100 80GB — On-Demand $/h pro GPU
| Anbieter | $/h pro GPU | Konfiguration |
|---|---|---|
| RunPod Am günstigsten | $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 pro GPU
| Anbieter | $/h pro GPU | Konfiguration |
|---|---|---|
| RunPod Am günstigsten | $1.19 | Community Cloud · A100 PCIe |
| CoreWeave | $2.70 | $21,60/Node ÷ 8 |
| Lambda Labs | $2.79 | 8× A100 SXM · pro 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 |
Spezialisten-Clouds (RunPod, Lambda) unterbieten die Hyperscaler bei identischem Silizium um das 2–5-Fache. Schätze deinen eigenen Workload mit dem GPU-Kostenrechner. Marktplatzpreise (Vast.ai) und Consumer-Karten sind hier ausgeschlossen — dafür das Ranking der günstigsten GPU-Clouds.
Ausführliche Anbietertests
Detaillierte Analyse jeder GPU-Cloud mit Vor-/Nachteilen und Best-Fit-Szenarien.
RunPod Redakteurs-Wahl
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 Redakteurs-Wahl
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 Redakteurs-Wahl
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 Redakteurs-Wahl
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 Redakteurs-Wahl
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
Häufig gestellte Fragen
Was ist die günstigste GPU-Cloud 2026?
RunPod ist 2026 die GPU-Cloud mit dem besten Preis-Leistungs-Verhältnis — ab 0,16 $/h (RTX A5000 Community Cloud) mit der stärksten Preis-Zuverlässigkeits-Balance aller 20 getesteten Anbieter, plus Serverless-Endpunkten und persistenten Volumes. Wer nur den absolut niedrigsten Preis sucht: Vast.ai-Marktplatz-Instanzen ab 0,10 $/h (unterbrechbar).
Ist RunPod zuverlässig genug für Produktion?
RunPods Secure Cloud ist mit dedizierter Rechenzentrums-Hardware zuverlässig für Produktion. Community Cloud ist günstiger, aber Hosts können Instanzen offline nehmen. Für Always-On-Inferenz Secure Cloud oder Lambda Labs nutzen.
Welche GPU-Cloud hat H100s verfügbar?
Lambda Labs, CoreWeave, RunPod, AWS (p5) und Google Cloud bieten alle H100-Zugang. CoreWeave hat das größte H100-Cluster-Inventar. Preise reichen von ~2 $/h (Lambda) bis 4+ $/h (AWS On-Demand).
AWS/GCP/Azure oder einen GPU-Spezialisten nutzen?
Für reines GPU-Compute sind Spezialisten (RunPod, Lambda, Vast.ai) 2–5× günstiger als Hyperscaler. AWS/GCP/Azure nur bei enger ML-Service-Integration (SageMaker, Vertex AI) oder strengen Enterprise-Compliance-Anforderungen.
Welche GPU brauche ich für Llama-3-70B-Fine-Tuning?
Mindestens eine A100 80GB oder 2× A100 40GB in NVLink. Für Llama 3 8B reicht eine RTX 3090/4090 mit 24GB. RunPod ist für beide das beste Preis-Leistungs-Verhältnis.