Comparativa cloud GPU · abril 2026
Mejor hosting cloud GPU — 20 proveedores comparados
Hemos probado y tarifado 10 proveedores de cloud GPU para que no pagues de más. Desde GPUs comunitarias a 0,10 $/h hasta clústeres H100 enterprise a 4+ $/h.
Los 20 proveedores
Tabla comparativa cloud GPU
Ordenado por valoración. Haz clic en cualquier proveedor para ver los detalles completos.
¿Inferencia puntual en lugar de entrenamiento? Compara las plataformas GPU serverless — facturación por segundo y escalado a cero. ¿No sabes qué GPU necesitas? Prueba el GPU Finder.
| Proveedor | Valoración | Precio inicial | GPUs principales | Destacados | Acción |
|---|---|---|---|---|---|
| RunPod Elección del editor | ★★★★★ | from $0.16/h | RTX A5000, RTX 3090 ≤80GB |
| Ver precios |
| Lambda Labs Elección del editor | ★★★★★ | from $0.69/h | Quadro RTX 6000, A100 40GB ≤80GB |
| Ver precios |
| Nebius Elección del editor | ★★★★★ | from $1.55/h | H100, H200 ≤192GB |
| Ver precios |
| Modal | ★★★★★ | from $0.59/h | T4, L4 ≤192GB |
| Ver precios |
| CoreWeave | ★★★★☆ | from $1.25/h | L40, L40S ≤192GB |
| Ver precios |
| DigitalOcean | ★★★★☆ | from $1.57/GPU/h | L40S, RTX 6000 Ada ≤192GB |
| Ver precios |
| Paperspace | ★★★★☆ | from $0.45/h | M4000, RTX 4000 ≤80GB |
| Ver precios |
| Google Cloud GPU | ★★★★☆ | from $0.71/h | T4, L4 ≤180GB |
| Ver precios |
| Together AI | ★★★★☆ | from $3.99/h | H100, H200 ≤141GB |
| Ver precios |
| Jarvis Labs | ★★★★☆ | from $0.41/h | A30, L4 ≤80GB |
| Ver precios |
| Vultr | ★★★★☆ | from $0.471/h | A16, A40 ≤192GB |
| Ver precios |
| Hetzner GPU | ★★★★☆ | from €0.375/h | RTX 4000 SFF Ada, RTX PRO 6000 Blackwell ≤96GB |
| Ver precios |
| AWS GPU (EC2) | ★★★★☆ | from $0.53/h | A100, H100 ≤80GB |
| Ver precios |
| Crusoe | ★★★★☆ | from $1.50/h | H100, H200 ≤192GB |
| Ver precios |
| TensorDock | ★★★★☆ | from $0.10/h | RTX 4090, RTX 3090 ≤80GB |
| Ver precios |
| Lyceum Elección del editor | ★★★★☆ | from $1.19/h | A100 80GB, H100 ≤141GB |
| Ver precios |
| Novita AI | ★★★★☆ | from $0.33/h | RTX 4090, RTX 5090 ≤48GB |
| Ver precios |
| Vast.ai Elección del editor | ★★★★☆ | from $0.03/h | RTX 3090, RTX 4090 ≤80GB |
| Ver precios |
| Azure GPU (NCv3/NDA) | ★★★★☆ | from $0.53/h | A100, H100 ≤80GB |
| Ver precios |
| Hyperstack | ★★★★☆ | from $0.15/h | RTX A4000, RTX A6000 ≤80GB |
| Ver precios |
| Massed Compute | ★★★★☆ | from $0.35/h | RTX A6000, A40 ≤80GB |
| Ver precios |
| Scaleway | ★★★★☆ | from €0.79/h | L4, L40S ≤80GB |
| Ver precios |
| OVH GPU | ★★★★☆ | from €0.4284/h | Quadro RTX 5000, L4 ≤141GB |
| Ver precios |
| Salad | ★★★★☆ | from $0.02/h | RTX 3090, RTX 4090 ≤24GB |
| Ver precios |
Reseñas detalladas de proveedores
Análisis en profundidad de cada cloud GPU con pros, contras y mejores escenarios.
RunPod Elección del editor
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 Elección del editor
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 Elección del editor
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
- Sold by the 8-GPU node — no single-GPU H100
- Roughly $36k/month for one H100 node running continuously
- 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
- One-off setup fee on top — €114 for the GEX44, €599 for the GEX131
- Only two SKUs: a 20 GB entry card and a 96 GB flagship, nothing in between
- 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
- Entry card is a Quadro RTX 5000, not a datacentre part
- No Blackwell (B200/GB200) in the public catalogue
- More complex setup than RunPod
- H200 only sells as a full 8-GPU instance
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
- H100 and H200 sell only as 8-GPU VMs
- $88.49/h minimum for any H100 access
- 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 Elección del editor
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 Elección del editor
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
Novita AI
Consumer GPUs by the hour, spot prices from $0.17/h
- Spot tier roughly halves the hourly rate
- Cheap RTX 4090 capacity
- Model APIs and GPU instances from one account
- No minimum term
- No H100 or H200 in the public instance line-up
- Spot capacity can be reclaimed
- Smaller community than RunPod or Vast.ai
Vultr
Fractional and full GPUs in 32 regions, A16 from $0.471/h
- Very broad region coverage
- Fractional GPUs lower the entry price
- Full stack around the GPU: block storage, networking, Kubernetes
- Both NVIDIA and AMD accelerators
- H100 costs more per hour than at specialist GPU clouds
- Pricing page redirects logged-in users to the console
- No spot or preemptible tier
DigitalOcean
GPU Droplets with flat pricing, L40S from $1.57/GPU/h
- Generous transfer allowance per Droplet
- Clear on-demand and reserved tiers side by side
- Same console as the rest of the DigitalOcean stack
- MI300X available without a sales call
- No consumer GPUs, entry price higher than marketplace clouds
- H100 pricing above specialist providers
- Reserved plans need contact with sales
Modal
Serverless GPUs billed by the second, from $0.59/h
- True per-second billing — you pay for the seconds you use
- Scale-to-zero, so an idle endpoint costs nothing
- Blackwell B200 and B300 on the public price list
- No container or Kubernetes work to get started
- Dearer per GPU-hour than a rented instance — H100 $3.95/h against $1.99/h on RunPod Community
- CPU and memory bill separately on top of the GPU
- Python-only; no plain SSH box
- Team plan is $250/month before any compute
Preguntas frecuentes
¿Cuál es el cloud GPU más barato en 2026?
RunPod es el cloud GPU con mejor relación calidad-precio en 2026 — desde 0,16 $/h (RTX A5000 Community Cloud), con el mejor equilibrio precio/fiabilidad de los 20 proveedores que probamos, más endpoints Serverless y volúmenes persistentes. Si solo buscas el precio absoluto más bajo: Vast.ai desde 0,10 $/h (interrumpible).
¿RunPod es lo bastante fiable para producción?
El Secure Cloud de RunPod es fiable para producción con hardware dedicado de datacenter. Community Cloud es más barato pero los hosts pueden retirar instancias. Para inferencia continua, usa Secure Cloud o Lambda Labs.
¿Qué cloud GPU tiene H100 disponibles?
Lambda Labs, CoreWeave, RunPod, AWS (p5) y Google Cloud ofrecen acceso a H100. CoreWeave tiene el mayor inventario de clústeres H100. Precios desde ~2 $/h (Lambda) hasta 4+ $/h (AWS on-demand).
¿Usar AWS/GCP/Azure o un cloud GPU especializado?
Para compute GPU puro, los especializados (RunPod, Lambda, Vast.ai) son 2–5× más baratos que los hyperscalers. Usa AWS/GCP/Azure solo si necesitas integración ML estrecha (SageMaker, Vertex AI) o compliance enterprise estricto.
¿Qué GPU necesito para fine-tunear Llama 3 70B?
Necesitas al menos una A100 80 GB, o 2× A100 40 GB en NVLink. Para Llama 3 8B, una RTX 3090/4090 24 GB es suficiente. RunPod es la mejor opción de calidad-precio para ambos.
Guías y análisis en profundidad
Desgloses de precios, tutoriales de configuración y guías de frameworks para proveedores y GPUs concretos.
Precios
- Costo de GPU A100 en la Nube (2026): Precios de 40GB vs 80GB
- Guía de Precios de CoreWeave (2026): Costos de GPU Empresariales
- Guía de Precios de Lambda Labs (2026): Costos de H100 y A100
- Guía de Precios de RunPod (2026): Todos los Costos de GPU Explicados
- Precios de GPU en Modal (2026): tarifas por segundo para H100, A100 y T4
- Precios de Vast.ai (2026): lo que cuesta de verdad una instancia
Configuración y tutoriales
- Cómo Configurar Jupyter Notebook en la Nube GPU (2026)
- Cómo Ejecutar ComfyUI en GPU Cloud (2026)
- Guía de Hosting de GPU Ollama (2026): Autoalojamiento de LLMs en la Nube
- Guía de Hosting GPU para vLLM (2026): Configuración lista para producción
- Guía para Principiantes de RunPod (2026): Primer Pod GPU en 5 Minutos
Mejor GPU para
- GPU Cloud Más Barato (2026): Mejor Valor Por Hora de GPU
- Mejor GPU Cloud en Europa (2026): RGPD, contratos DPA y precios
- Mejor GPU Cloud para ComfyUI (2026): Despliegue Fácil con Docker
- Mejor GPU Cloud para Inferencia LLM (2026): Menor Latencia
- Mejor GPU Cloud para Video AI (2026): CogVideoX y Wan 2.1
- Mejor GPU Cloud RTX 4090 (2026): GPU de Consumo Más Barata
- Mejor GPU Cloud Sin Servidor (2026): Escala a Cero
- Mejor GPU para Inferencia Ollama (2026): VRAM y Velocidad Clasificadas
- Mejores GPU Cloud Baratos en 2026: Opciones con menor costo por hora
Más guías
- A100 vs H100 GPU Cloud (2026): ¿Cuál Deberías Alquilar?
- Análisis de GPU Mart (2026): servidores GPU dedicados por mes
- Entrenamiento Multi-GPU en la Nube (2026): DDP, FSDP y DeepSpeed
- Guía de Almacenamiento en la Nube GPU (2026): Modelos, Conjuntos de Datos y Volúmenes
- Guía de Benchmark de GPU Cloud (2026): Cómo Comparar Proveedores
- Guía de CoreWeave Kubernetes (2026): GPU en K8s
- Guía de Fine-Tuning LoRA vs QLoRA (2026): ¿Cuál Usar?
- Guía de GPU Serverless de Modal (2026): Nube Python-Primero
- Guía de Requisitos de VRAM para GPU (2026): ¿Cuánto Necesitas?
- Guía SSH de GPU Cloud (2026): Conectar, Túnel y Reenvío
- Mejores Alternativas a Google Colab (2026): Más Potencia GPU
- Mejores Alternativas a RunPod (2026): 8 Opciones Comparadas
- Reseña de Jarvis Labs (2026): Nube GPU para Creadores Individuales
- Revisión de OVH AI Training (2026): Nube GPU Europea
- RunPod Community vs Secure Cloud (2026): la brecha de precio real
- RunPod Serverless (2026): precios reales y cuándo gana un pod
- RunPod vs AWS GPU (2026): ¿10x más barato para ML?
- RunPod vs Vast.ai (2026): Valor vs Control
- vLLM en GPU Cloud (2026): Guía Completa de Configuración
- Volúmenes Persistentes en la Nube GPU (2026): Mantén Tus Datos Seguros