How do their growth rates compare?

Thunder Compute has a month-over-month growth rate of -29%; Trelent has 0%.

How does pricing compare?

Thunder Compute: Paid (per-minute instances, per-second sandboxes). Thunder Compute bills instances per minute while running and sandboxes per second. Published instance rates: RTX A6000 $0.35/GPU-hour, L40 $0.79, A100 80GB $1.09, H100 SXM $3.20, with extra vCPUs at $0.04/vCPU-hour. Sandbox rates are $2.95/GPU-hour for H100 SXM and $1.95/GPU-hour for A100 80GB plus vCPU, memory, and storage components. Instance disk storage is $0.219/GB per month (first 100 GB per GPU included), snapshots are $0.05/GB per month, and data egress is free. Grilled specifically: rates change over time, so verify on the pricing page. Trelent: Contact for Pricing. Contact for pricing. Trelent runs a two-stage model: a 2-4 month validation engagement at roughly $10k-$25k per month depending on scope, followed by outcome-based pricing tied to an agreed business metric such as clients onboarded or issues resolved.

What are alternatives to Thunder Compute and Trelent?

Other tools in related categories include RunPod, Vast.ai, Modal, Nebius, Salad.

Thunder Compute vs Trelent — Traffic (102.15K vs 0), Pricing & Verdict

Open AI Tools

Thunder Compute vs Trelent — Traffic (102.15K vs 0), Pricing & Verdict | Open AI Tools

Side-by-Side Traffic & Specification Matrix

Dimension / Metric	Thunder Compute	Trelent
Official Domain	thundercompute.com	trelent.com
Pricing Model	Paid (per-minute instances, per-second sandboxes)	Contact for Pricing
Monthly Visits	102.15K (102,147)	0 (0)
MoM Traffic Delta	-41.66K (-29%)	0 (0%)
Primary Market & Share	🇺🇸 United States (53.5%)	🌐 Global (—)
Direct Visits / mo	40.74K	0
User Rating	4.4	4.1
Supported Platforms	Website	Website

Thunder Compute

Low-cost cloud GPUs with per-minute instances and per-second sandboxes for AI workloads.

Persistent GPU instances

Launch RTX A6000, L40, A100 80GB, or H100 SXM machines, often ready to SSH into within minutes, and pay only while they run.

Per-second GPU sandboxes

Spin up isolated Ubuntu VMs with or without a GPU for RL rollouts, evals, and CI, billed per second and scaled to zero between runs.

Developer-first tooling

A CLI, VS Code extension, MCP server, and REST API let you drive infrastructure from a terminal, an editor, an AI agent, or your own services.

Snapshots and persistent storage

Save an instance disk as a snapshot and restore it later, so you can pause experiments without leaving machines running.

Strengths & Pros

+Aggressive pricing versus hyperscalers: published H100 rates around $3.20/GPU-hour against $6+ at major clouds.
+Two billing models that match two real workloads: per-minute persistent instances and per-second ephemeral sandboxes.
+No egress fees and no preemption, which removes two common sources of surprise cost and interruption.
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