io.net and Leonardo AI: GPU partnership and DePIN demand case
Post369 words
Bullish call$IO−92%since this piece, moved against the callHow it played out ↓Argues $IO is underappreciated after io.net expanded its Leonardo AI partnership to add L40S GPUs alongside A100s. Cites over 318,000 verified GPUs and 28,000 cluster-ready GPUs against enterprise cloud spend above $79B in Q2 2024.
Key claims
io.net has >318,000 verified and >28,000 cluster-ready GPUs
Enterprise cloud infrastructure spending exceeded $79B in Q2 2024
io.net will supply L40S GPUs to Leonardo AI
The adoption is real and you're not bullish enough on $IO. 👀
TL;DR on what's happening! 👇
Leonardo AI is an advanced generative AI platform working with @Canva that allows users to create images through text prompts.
Back in May, IO Net partnered up with Leonardo to provide access to @ionet's powerful GPUs (A100s).
@ionet has now expanded this partnership with Leonardo AI to meet the growing demand for generative AI content production.
More specifically, @ionet will provide highly advanced L40 GPUs.
🤔 Wait, WTF are A100 and L40S?!
✦ A100 GPUs
A100s GPUs are based on @nvidia's Ampere architecture and designed for high-performance computing, deep learning & data analytics. With up to 624 Tensor TFLOPS, 40-80 GB of high-bandwidth memory, and Multi-Instance GPU (MIG) capability, A100s are ideal for training large neural networks and performing rapid inference tasks.
✦ L40S GPUs
@nvidia's L40S GPUs are built on the Ada Lovelace architecture, optimized for visual computing, rendering, and advanced AI workloads. It supports ray tracing, tensor cores, and advanced AI features, making it suitable for rendering and complex visual inference tasks.
🤔 Ok and why would do these GPUs even matter??
Generative AI platforms like Leonardo AI can use A100 GPUs for training and inference due to their computational power and memory capacity.
With their optimizations for visual computing, L40S GPUs would be even better suited, able to enhance image quality through advanced rendering techniques.
With @ionet's scalable compute network and competitive pricing, @leonardoai can provide its image generation services seamlessly and cheaply.
As the age of AI dawns, people are definitely not bullish enough on $IO.
This partnership highlights the capabilities of @ionet's distributed GPU network, which boasts > 318,000 verified GPUs and > 28,000 cluster-ready GPUs, including various types such as H100s, A100s or L40s.
The flexibility and cost-efficiency @ionet offers enable companies like @leonardoai to scale with the exploding demand, continuing to provide high-quality visual assets to millions of users and ensuring seamless service even during peak periods.
With enterprise spending on cloud computing infra growing beyond $79B in Q2 2024, the potential of this market is evident.
DYOR anon 👀
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How the call played out · since 09 Aug 2024
Prices as of 23 Oct 2026This piece takes a view on $IO, so that move is read against the call.
−92%
Moved against the call · over 2.2 years
- At publication
- $1.91
- Now
- $0.159
- vs BTC
- −94%
- After 1 month
- −18%
- After 3 months
- +0.5%
- After 1 year
- −68%
- High since
- +121% 14 Dec 2024
- Low since
- −95% 06 Apr 2026
Since then
Zero has written 36 more pieces on io.net and $IO since this one.
- io.net IDE tokenomics: #1 revenue DePIN at 5.3x MC/ARRBullish call on $IO
- DeAI as crypto's endgame: compute, agents and autonomous economiesOn io.net
- Why decentralized compute solves the startup GPU cost squeezeOn io.net
- Big compute is cracking: summary of the DeAI case against centralized cloudOn io.net
Daily closes in USD from DefiLlama and Yahoo Finance. Only a bullish or bearish thesis is read as a call; explainers, maps and mentions are context. Not financial advice.