
Vast.ai
Paperspace
GPU Per Hour
TensorDock GPU Cloud
GPU.LAND
QuickPod
Bitcanopy
Cloud GPU is a solution that provides high-performance GPUs on Google Cloud for machine learning and 3D visualization.

QuickNode Marketplace
SwiftNodes
Hydromancer provides low-latency Hyperliquid APIs, streaming infrastructure, historical datasets, and orderbook data for ambitious builders and traders.

Which is more popular?
Based on our record, Cloud GPU seems to be more popular. It has been mentioned 7 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | cloud.google.com | hydromancer.xyz |
| Pricing | — | |
| Company | — | Startup from The Netherlands · 1 - 9 employees · 2024 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Cloud GPU yet.
Hydromancer is data infrastructure built specifically for Hyperliquid. It provides REST APIs, real-time WebSocket streams, granular orderbook data and historical datasets for building applications, monitoring markets and running research. App developers use Hydromancer to build trading...
What each product offers, as listed by its team.


Possible disadvantages
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Cloud GPU and Hydromancer.
Hydromancer's answer:
Hydromancer is a Hyperliquid-only data layer, not an RPC provider. It extends the native API with builder endpoints and batch reads for 1,000+ wallets, and streams the L4 orderbook with maker addresses. The feed is peered to a Foundation node and Hydromancer's own active-set validator, so teams do not have to run that infrastructure themselves.
Hydromancer's answer:
The public Hyperliquid API is free, but it rate-limits heavy reads and does not offer these batch or builder endpoints. RPC providers solve node access, not this data layer. Hydromancer is for teams that already have trading access and need faster reads, order-book streaming, and historical data without running their own nodes.
Hydromancer's answer:
Hyperliquid builders. That includes trading apps, portfolio and analytics products, HIP-3 and HIP-4 market deployers, and market makers who need low-latency order-book data.
Hydromancer's answer:
The team built Hyperdash, a Hyperliquid app later acquired by pvp.trade, and kept hitting the limits of the public API. Hydromancer is the data infrastructure they wanted as builders. It has been Hyperliquid-only since 2024, shaped by teams using it in production. Reservoir, the free historical dataset, is the public-good side of that work.
Hydromancer's answer:
A JSON REST API on the same POST /info shape as Hyperliquid, plus WebSocket streaming and a Python SDK. Under that, Hydromancer runs its own Hyperliquid nodes and an active-set validator, peered in AWS Tokyo. Historical data is stored as Parquet on S3. The site does not publish the application languages, so I would not name those here.
Hydromancer's answer:
These are teams named on the site and in the docs, not a ranking by revenue.
tread.fi, HyENA, Liquid, SEDA, Based, Outcome, Native Markets, Senpi & fomo
Share your experience with using Cloud GPU and Hydromancer. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


Per https://cloud.google.com/gpu, they use NVIDIA L4, P100, P4, T4, V100, and A100 GPUs. These are physical units loaded into servers and then shared to the OS by the hypervisor. Source: over 3 years ago
You probably can't do it through onedrive, though I'm not sure if MS has something like that that carries over into other services. The thing you need is GPU power, not storage. Most people use something like google cloud... Source: over 3 years ago
Uh, you ask these questions before you buy the hardware. There are various tools you could have used for free, or for cheap instead of spending $2500 on equipment, and not even seemingly the right equipment. You would know more than me,... Source: almost 4 years ago
Tracking Hydromancer since Sep 2026.
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