How much does a single A100 80 GB cost on CoreWeave?

CoreWeave lists on‑demand A100 80 GB pricing between $2.21 and $2.70 per GPU‑hour, billed hourly.

What is the Thunder Compute A100 80 GB price?

Thunder Compute charges $0.78 per GPU‑hour with per‑second billing increments.

Does Thunder Compute require long‑term contracts?

No. Thunder Compute is fully pay‑as‑you‑go with no minimum commitments.

Which provider offers per‑second billing?

Thunder Compute bills per second. CoreWeave meters usage hourly.

How do storage fees compare?

Thunder Compute block storage is $0.15 / GB‑month. CoreWeave block and file storage range from $0.04 to $0.07 / GB‑month, while its object storage active tier is $0.11 / GB‑month.

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CoreWeave vs Thunder Compute (August 2025)

A100 80 GB price snapshot and feature‑by‑feature comparison for ML teams

Published:

Aug 1, 2025

Last updated:

Aug 1, 2025

1. Pricing snapshot – A100 80 GB on‑demand

Provider	Hourly rate	Billing granularity	Annual savings vs CoreWeave
Thunder Compute	$0.78 / GPU‑hour	Per second	70–75 % cheaper
CoreWeave	$2.21–$2.70 / GPU‑hour	Hourly meter (rounded)	—

Thunder Compute rate is their current published price for on-demand A100 80 GB. CoreWeave pricing is based on their public pricing table and aggregator listings for single-GPU SXM SKUs.

2. Billing & minimum commitment

Thunder Compute bills per second with no minimum; ideal for quick experiments or CI jobs.
CoreWeave advertises on-demand hourly pricing; usage is metered hourly, so short sessions pay for the full hour.

Takeaway: If you spin up notebooks for <60 minutes at a time, Thunder Compute’s fine-grained meter typically saves an extra 5–25 %.

3. Developer experience

Feature	Thunder Compute	CoreWeave
One‑click VS Code in browser	✅ (built‑in)	❌
Kubernetes knowledge required	No	Yes – platform is K8s native
Live hardware swaps	Yes (any time)	Limited
Snapshot & persistent root disk	Included	Requires separate storage class

Thunder Compute focuses on bottoms-up engineers who want to “click → code.” CoreWeave targets ops teams comfortable managing clusters.

4. Storage & data management

Storage type	Thunder Compute	CoreWeave
Block / root volume	$0.15 / GB‑mo	$0.04–$0.07 / GB‑mo (block/NVMe)
S3‑style object	N/A	$0.11 / GB‑mo (active tier)

Thunder Compute’s persistent disk is automatically attached to every instance, making snapshots and restarts seamless. CoreWeave’s storage is cheaper, but may require more manual setup and management.

5. Lock‑in & contracts

Thunder Compute has no term commitments and supports standard SSH plus a convenient VS Code extension
CoreWeave offers marketplace reservations and capacity contracts (commonly 1–3 years for volume discounts) – useful for large clusters, but adds vendor lock-in.

6. When Thunder Compute wins

You need cheap A100s for interactive fine‑tuning or prototyping
Jobs are bursty or short-lived – per-second billing avoids wasted spend
Your team prefers VS Code over YAML manifests
You want to live-resize RAM, vCPUs, and storage without redeploying

7. When CoreWeave wins

You already run Kubernetes at scale and want full cluster control
You need InfiniBand multi-GPU nodes or H100 clusters today (Thunder’s H100 launch is slated soon at $1.47/hr)
Storage costs dominate and you have workflows built around cheap block and object storage tiers

Bottom line

At $0.78 per A100 80 GB, Thunder Compute undercuts CoreWeave by roughly 3× on raw GPU price and adds second-by-second billing plus VS Code convenience. CoreWeave still shines for teams that need large, reserved clusters and are happy living in Kubernetes. For most startups and indie ML engineers, Thunder Compute is the faster, cheaper on-ramp.