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TensorDock

Tier 3 Datacenter 4.8 / 5.0 (88 reviews)

Customizable, Scalable GPU Cloud on Demand

TensorDock offers affordable bare metal and virtualized GPU instances with 50+ datacenter locations. Features flexible CPU-to-RAM configurations and competitive hourly rates.

Regions
North America, Europe, Asia-Pacific
Billing Model
Per Hour
Stop & Storage Cost
$0.00011/GB/hr ($0.08/GB/mo)
Egress Bandwidth
1 TB Free / Month
Developer Tooling:Persistent Volume (Keeps State)Public IP & Port Mapping Docker Containers Direct Root SSHUSDT / Crypto BillingNo Mandatory KYCUbuntu 22.04PyTorchTensorFlow

TensorDock GPU Catalog & Real-Time Hourly Pricing (8 Tiers)

View Dedicated Pricing Guide & Specs
GPU Model (Click for Specs)VRAMInterconnectvCPU / System RAMSpot HourlyOn-Demand HourlyActions
NVIDIA GeForce RTX 309024 GBPCIe 4.0 x164 vCPUs / 16GB
$0.16/hr-33%
$0.24/hr
NVIDIA GeForce RTX 409024 GBPCIe 4.0 x168 vCPUs / 32GB
$0.26/hr-33%
$0.39/hr
2x NVIDIA GeForce RTX 409048 GBPCIe 4.0 x1616 vCPUs / 64GB
$0.52/hr-33%
$0.78/hr
NVIDIA L40S 48GB48 GBPCIe 4.0 x1612 vCPUs / 64GB
$0.62/hr-27%
$0.85/hr
NVIDIA RTX 6000 Ada 48GB48 GBPCIe 4.0 x1612 vCPUs / 64GB
$0.85/hr-26%
$1.15/hr
NVIDIA A100 SXM4 80GB80 GBNVLink (Fast)16 vCPUs / 120GB
$0.95/hr-30%
$1.35/hr
4x NVIDIA GeForce RTX 409096 GBPCIe 4.0 x1632 vCPUs / 128GB
$1.04/hr-33%
$1.56/hr
NVIDIA H100 SXM5 80GB80 GBNVLink (Fast)16 vCPUs / 120GB
$1.75/hr-22%
$2.25/hr
Interactive On-Site Simulation

TensorDock Monthly Cost & Stopped Storage Estimator

Simulate your real-world monthly bill including active GPU compute and stopped persistent volume storage overhead.

Workload Presets:
6 hrs / day (183 hrs / mo)
1 hr (Testing)8 hrs (Full workday)16 hrs (Heavy training)24 hrs (Continuous serving)
200 GB NVMe SSD
50 GB (Base OS)250 GB (ComfyUI + Models)500 GB (Flux + SDXL cache)1,000 GB (1TB 70B Weights)
Developer Gotcha: Stopped Storage Billing

When you click Stop Instance on TensorDock, your GPU compute charge stops, but the 200GB disk volume continues billing 24/7 ($20.00/mo) until you terminate the volume. Always backup checkpoints to HuggingFace or S3 before terminating.

Estimated Total Monthly BillSpot Rate
$67.58 / month

Hourly run-rate: $0.26/hr compute + $0.0274/hr disk

Active GPU (183 hrs):$47.58
Persistent Disk (200GB 24/7):$20.00
You save ~$178/mo (73%) vs AWS EC2

Equivalent cloud capacity on AWS would cost approx. $245/mo for 6h daily runtime.

Estimated Monthly Cost for this Workload:
TensorDock:$67.58/mo
RunPod Equivalent:$100.52/mo
AWS Cloud Equivalent:$245.43/mo
Watch Out For (Known Quirks & Pitfalls)
  • •Host reliability differs between Core Tier (datacenters) and Community hosts; select Core locations for long unattended training jobs.
  • •Direct port mapping must be requested or opened during pod creation to expose custom WebUI ports without reverse tunnels.
  • •Stopped instances continue incurring disk storage fees until the associated NVMe volume is explicitly deleted.
Pro Tips & Optimization Hacks
  • ✓Take advantage of TensorDock's transparent REST API and CLI to automate provisioning ephemeral RTX 4090 and A100 test rigs.
  • ✓Direct SSH on native port 22 with assigned public IPv4 makes setting up VS Code Remote and PyCharm frictionless.
  • ✓Consistently provides some of the lowest on-demand rates worldwide for single RTX 3090 ($0.16/hr) and RTX 4090 ($0.39/hr) with zero waitlists.
Hidden Cost Radar
Stopped Storage:$0.10/GB/month for attached NVMe storage
Egress Bandwidth:Free / Unmetered inbound and outbound datacenter bandwidth
Billing Increment:Per Second
Min Deposit:$5.00 via Credit Card or Crypto
Interconnect & Fabric
NVSwitch Bandwidth:900 GB/s on A100 SXM4 / PCIe 4.0 on GeForce desktop hosts
Cluster Fabric:RoCE v2 on enterprise Core datacenter nodes
P2P Reliability:GOOD
Datacenter:Tier 3 Datacenter (Core) & Host Marketplace (Community)
DevOps & Automation
Direct SSH (Port 22):✓ Native TCP
CLI & Python SDK:✓ Official SDK
SkyPilot & Terraform:✓ SkyPilot Ready
Spot Notice Buffer:30s termination notice buffer on interruptible marketplace tiers
Recommended Workloads:Budget single-card and dual-card fine-tuning (LoRA / QLoRA) • Developer prototyping and batch media rendering pipelines • Cost-optimized inference endpoints on dedicated hardware
Avoid Using For:Distributed multi-node training clusters (>16 GPUs) requiring high-radix InfiniBand fat-trees

Full-Lifecycle TCO & Hidden Cost EstimatorReal Invoicing

Calculate actual project costs including stopped storage fees and network egress penalties.

Active Hours/Day:6 hrs
1 hr (ad-hoc)24 hrs (uninterrupted)
Duration (Days):30 days
1 day30 days (1 mo)90 days
Attached Disk (GB):200 GB
20 GB200 GB (ComfyUI)2 TB (Datasets)
Monthly Egress (GB):100 GB
0 GB100 GB1,000 GB
Total Estimated Bill
$62.93
over 30 days (180h active)
Effective Hourly Cost
$0.35/hr
Base: $0.24/hr
Raw GPU Compute
$43.20
68.7% of invoice
Hidden Fees (Disk + Egress)
$19.73
31.3% hidden overhead
Invoice BreakdownCompute ($43) • Storage ($20) • Egress ($0)
Veteran Warning: Storage and network fees represent 31.3% of your bill! Selecting a provider with unmetered egress (e.g. RunPod, Vast.ai, MassedCompute) or auto-pausing disk volumes will save you substantial capital.
Ecosystem Alternatives

Top Alternatives to TensorDock

Evaluate competing GPU clouds for pricing, speed, and platform reliability.

View All TensorDock Alternatives (2)
RunPod$0.44/hr

Richer 1-click Docker pod template ecosystem

RunPod offers superior managed tooling with pre-configured ComfyUI, vLLM, and SDXL pods, plus persistent network volumes.

Vast.ai$0.20/hr

Lower spot bidding prices on consumer GPUs

Cheapest spot market in the world for budget experimentation and distributed rendering.

Developer Launch Recipes

1-Click Docker & SSH Recipes for TensorDock

Tested terminal commands for immediate deployment on NVIDIA GeForce RTX 3090 instances.

Container Ready
# 1. SSH into your TensorDock instance:
# ssh root@<instance_ip> -p <ssh_port>

# 2. Launch ComfyUI with FLUX.1 & SDXL model cache:
docker run -d --gpus all --name comfyui \
  --restart unless-stopped \
  -p 8188:8188 \
  -v /workspace/ComfyUI/models:/root/ComfyUI/models \
  -v /workspace/ComfyUI/output:/root/ComfyUI/output \
  yanwk/comfyui-boot:cu124

# Access ComfyUI in your browser at: http://<instance_ip>:8188
💡 Tip: Make sure your security group / host port mapping allows ingress on the selected port.Open TensorDock Console
Independent Platform Audit

TensorDock Architecture, Gotchas & Engineering Verdict

Host Infrastructure Model

TensorDock maintains dedicated enterprise Tier 3/4 colocation facilities with redundant UPS power, multi-gigabit fiber backbones, and formal uptime SLAs.

Tier: Tier 3 Datacenter
Key Platform Strengths
  • ✓Extremely competitive hourly spot rates with up to 60% savings.
  • ✓Direct root SSH and Docker container flexibility.
  • ✓USDT / Crypto payment supported with zero KYC.
Gotchas & Traps to Watch For
  • !Stopped Storage Fee: Persistent disk volumes accrue billing 24/7 ($0.08/GB/month) until deleted.
  • !Bandwidth Variance: Verify host download speeds before pulling 50GB+ model checkpoints.
4.8 / 5.0

Developer Reviews & Telemetry Audit

Aggregated from 88 verified AI engineers deploying vLLM, ComfyUI, and production API workloads.

View All Verified Reviews (88)
Uptime Telemetry
99.6%
Verified SLA availability
HuggingFace Cache
1.1 GB/s (~9 Gbps)
Model download speed
Billing Transparency
98%
Zero hidden surcharges
Developer SDK & CLI
96%
OpenAI compatibility rating
Zero KYC, USDT billing, and root SSH in 40 seconds
Verified: LoRA Training & Wan 2.1 Video

“TensorDock is our go-to for rapid deployment when we need dedicated A100 80GB instances ($0.95/hr) without enterprise red tape or ID verification delays.”

Julian Vance — Lead Backend Engineer @ TetherData2026-02-08