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TensorDock vs CoreWeave

A detailed comparison to help you choose between TensorDock and CoreWeave.

Quick Verdict

3.8/5

TensorDock

0 reviews

3.6/5

CoreWeave

0 reviews

TensorDock is rated higher (3.8 vs 3.6). TensorDock is a GPU compute marketplace with per-second billing — H100 SXM5 from $2.80/hour and A100 from $1.50/hour (A100 PCIe 80GB) on its published rate card. 100+ locations in 20+ countries, on-demand provisioning. CoreWeave is a purpose-built GPU cloud for AI — 40,000+ NVIDIA GPUs including H100, A100, and RTX. Used by OpenAI, Mistral, and Cohere. Kubernetes-native and connected to NVIDIA.

TensorDock

TensorDock

Affordable GPU cloud compute without long-term contracts

CoreWeave

CoreWeave

Purpose-built cloud for AI and GPU workloads

Overview
Rating3.8 (0 reviews)✓3.6 (0 reviews)
Pricing modelusage-basedusage-based
Starting priceFrom $0.1/moFree tier available
Best forCost-conscious ML engineers, researchers and studios running training with checkpointing, batch inference or rendering, especially where consumer GPUs like the RTX 4090 fit the workloadAI labs and ML teams running sustained training or high-throughput inference where dedicated GPUs, NVLink/InfiniBand and a real uptime SLA justify premium pricing
Specifications (entry plan)
CPU cores2 vCPU—
RAM4 GB—
Storage20 GB—
Bandwidth——
SLA uptime99.99%✓99.9%
Data-center count100✓50
€/vCPU/mo€0.05—
€/GB RAM/mo€0.03—
Features
IPv6
DDoS protection
Automated backups
Snapshots
Managed option
Bare metal
GPU available
S3-compatible
Hourly billing
Free tier
Data-center locations
Regions
100+ marketplace locations in over 20 countries (US, EU, Asia-Pacific); tier 3/4 data centers plus community hosts
50+ data centers across the United States and Europe
Tags
Tags
hourly billinggpu availableeu datacenterus datacenter
hourly billinggpu availableus datacenterapi accesskubernetes support
Visit TensorDock →Visit CoreWeave →

TensorDock

Pros

  • + Among the lowest published GPU rates anywhere: RTX 4090 at $0.35/hr, H100 SXM5 at $2.85/hr typical
  • + A la carte, per-second billing for vCPU, RAM and NVMe — pay only for the configuration you need
  • + Breadth: 45 GPU models across 100+ locations in 20+ countries, with an API for automation
  • + Published rate card and transparent explanation of why the same GPU has multiple prices
  • + Host vetting, host SSH access revoked, and a 99.99% uptime standard for listed hosts

Cons

  • - Marketplace variance: host redundancy and quality differ, with cheaper listings often least redundant
  • - Email-only support with multi-hour response windows; no contractual SLA with credits
  • - Prepaid balance model deletes servers when the balance reaches zero
  • - Published rate card is stamped July 2024 and carries a no-guarantee disclaimer
  • - Fewer managed niceties (templates, serverless) than RunPod, Lambda or hyperscalers
View full TensorDockreview →

CoreWeave

Pros

  • + Published public pricing for the main GPU lines — H100 node $49.24/hr on-demand, $19.71/hr spot — which is more transparency than most GPU clouds offer
  • + Broad NVIDIA catalog (L40 to GB300 NVL72) with managed Kubernetes and Slurm control planes included and InfiniBand at up to 3,200 Gbps
  • + Contractual reliability: 99.9% cross-region SLA (99% single region) with service credits, plus SOC 2 and ISO posture
  • + 50+ data centers across the US and Europe, and S3-compatible object storage for training data and checkpoints

Cons

  • - Premium per-GPU rates versus spot resellers — often 2-3x higher per GPU-hour for comparable silicon
  • - Whole 8-GPU nodes are the default unit of sale; some configurations still route through sales and component pricing (classic line) complicates the bill
  • - No cheap entry tier and no general-purpose cloud story — the fit is poor for anything that is not GPU-bound
  • - Counterparty concentration: heavy NVIDIA dependence plus the debt-financed build-out of a young public company
View full CoreWeavereview →

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