llmcost.xyzTensorDock vs Voltage Park: H100 GPU Pricing Compared

TensorDock vs Voltage Park: H100 GPU Pricing Compared

Compare TensorDock's flexible marketplace pricing with Voltage Park's low-cost dedicated H100 clusters for AI training and scalable GPU workloads.

📅 Data verified: 2026-06-15

TensorDock and Voltage Park both offer access to NVIDIA H100 GPUs, but they target somewhat different rental patterns. Voltage Park lists H100 SXM instances from $1.99/hr on-demand, while TensorDock’s H100 pricing starts around $2.25/hr, with typical on-demand around $2.50/hr and spot options as low as about $1.60/hr on some hosts. TensorDock also spans more GPU types, including A100 80GB from roughly $1.30/hr and RTX 4090 from about $0.35/hr.

FeatureTensorDockVoltage Park
Pricing ModelMarketplace + partner data centers (incl. Voltage Park)Large-scale H100 clusters, on-demand + reserved
BillingPer-hour (per-minute on some hosts)Per-hour
H100 Pricingfrom $2.25/hr (on-demand ~$2.50, spot ~$1.60)from $1.99/hr (SXM, on-demand)
A100 80GB Pricingfrom ~$1.30/hr
RTX 4090 Pricingfrom ~$0.35/hr
Founded20202023

💡 Pricing reflects publicly listed on-demand rates as of 2026-06-15 and may vary by region, GPU availability, or change over time. Always confirm current pricing on the provider's site before committing.

Why Choose Each Provider

TensorDock

  • Competitive H100/A100 pricing close to marketplace lows
  • Spot pricing for further discounts on interruptible jobs
  • Simple self-service deployment, pay-as-you-go
  • Smaller company than hyperscalers — less brand track record
  • Availability and exact pricing vary by region/host

Voltage Park

  • One of the lowest on-demand H100 SXM prices available
  • Large H100 cluster capacity built for training workloads
  • InfiniBand networking for multi-node jobs
  • Primarily H100-focused — limited GPU model variety
  • Newer company with a smaller track record than incumbents

Verdict

For short-lived experiments, solo developer workloads, or interruptible jobs where price flexibility matters, TensorDock is the better pick because it offers pay-as-you-go billing with per-hour pricing and even per-minute billing on some hosts, plus H100 spot pricing around $1.60/hr and lower-cost alternatives like A100 80GB from about $1.30/hr or RTX 4090 from about $0.35/hr. For large-scale multi-node training runs where you want dedicated H100 capacity and fast cluster networking, Voltage Park is the better pick because its H100 SXM pricing starts at $1.99/hr on-demand and it is specifically built around large H100 clusters with InfiniBand networking. In practice, TensorDock fits flexible experimentation better, while Voltage Park is the stronger choice for teams running sustained H100 training workloads.

FAQ

Is TensorDock cheaper than Voltage Park for H100 rentals?

It depends on whether you need on-demand or interruptible capacity. Voltage Park starts at $1.99/hr for H100 SXM on-demand, which is lower than TensorDock’s typical on-demand H100 pricing of around $2.50/hr and lower than TensorDock’s listed starting point of $2.25/hr. But TensorDock can be cheaper for interruptible workloads because some hosts offer H100 spot pricing around $1.60/hr.

Which is better for short training jobs or quick experiments: TensorDock or Voltage Park?

TensorDock is usually the better fit for short experiments because it is self-service, pay-as-you-go, and some hosts support per-minute billing instead of only per-hour billing. It also gives you more pricing tiers, from H100 spot around $1.60/hr to A100 80GB around $1.30/hr and RTX 4090 around $0.35/hr, which can be useful if you do not need a full H100 every time.

Does Voltage Park support spot or interruptible instances like TensorDock?

Based on the data here, Voltage Park offers on-demand and reserved H100 capacity, with H100 SXM starting at $1.99/hr on-demand, but no spot or interruptible pricing is listed. TensorDock does offer spot-style savings on some hosts, with H100 pricing around $1.60/hr for interruptible jobs, so it is the better option if you specifically want lower-cost preemptible capacity.