Phala Network

Partnership Announcement: Phala 🤝 OODA AI

We’re joining forces with @OODA_AI_, a Nasdaq-listed AI powerhouse trading under ticker $OODA, focused on AI Apps, API:s & Agents, GDPR-grade data security, and decentralized AI computing.

Together, we’ll advance safe AGI via TEE-secured AI for both CPU & GPU compute.

Phala Cloud is a place where you build products, not just run workloads. We turn builders into shippers - from running code to running products.

Your brand. Your launch. Your Cloud.

Start Now: https://cloud.phala.network

🤝 New Partnership: Phala x Caila

Phala is excited to team up with @Caila_AI by @nubilanetwork! With Phala's TEE-secured infra, Caila agents can now process sensitive weather & location data in real-time - knowing that their LLM inference, user data and model integrity are protected.

Phala was here before TEE was cool.

We listed Phala Cloud on @ProductHunt yesterday and it made it into the Top 20 Product as of May 15, 2025. Woot woot!🥳

https://www.producthunt.com/leaderboard/daily/2025/5/15

☁️Phala Cloud Weekly Growth (April 23 - April 30)

📈Total Users: 1707 → 1933 (+13.3%)
💻Total VMs: 1045 → 1042 (-0.3%)
📊Running VMs: 502 → 545 (+8.6%)
⚡️vCPU: 3332 → 2872 (-13.8%)

https://dune.com/phala_network/phala-analytics

GM.

In just three weeks, the crypto AI sector has doubled its market cap to $9 billion.

Now’s a great time to build. 😤

#PhalaCloud

GM.

In just three weeks, the crypto AI sector has doubled its market cap to $9 billion.

Now’s a great time to build on #PhalaCloud. 😤

🚀 Building AI tools?
Still hand-wiring 10+ APIs manually? Still fighting security gaps?

Stop wasting time.
@PhalaNetwork now supports MCP Hosting — slash dev time, secure your infra with TEE, and deploy in minutes.

Here’s how it works 👇

GM. 🍵

We’ve just released our joint case study with @DeMCP_AI. Together we're bringing secure, scalable MCP hosting to the AI x Web3 frontier. Developers can now deploy open-source MCP services like "defillama-mcp" inside Phala’s verifiable TEEs, with encrypted credentials, on-chain data access & stablecoin payments.

GM. 🍵

We’ve just released our joint case study with @DeMCP_AI. Together we're bringing secure, scalable MCP hosting to the AI x Web3 frontier. Developers can now deploy open-source MCP services like "defillama-mcp" inside Phala’s verifiable TEEs, with encrypted credentials, on-chain data access & stablecoin payments.

GM.

AI-Web3 Integration will need TEEs.

Deploy on Phala Cloud with $400 in FREE credits!

Why choose Phala Cloud?

✅ Fast TEE deployment with plug-and-play cloud.
✅ Secure with full verifiable chain-of-trust.
✅ Open-source, no vendor lock-in.

Get started now!

Your domain. Your brand. Your private cloud.

With Phala Cloud, you can now map your custom domain to a TEE-backed workload—without giving up control or privacy.

🧵 Here’s how you bring your own domain and keep your trustless guarantees 👇

🚨 Major Milestone for AI Privacy 🚨

TEE-LLMs are first-ever live on @openrouterai — powered by Phala Network.

We give you:
🔐 End-to-end privacy.
⚡️ Blazing speed.
📜 Verifiable LLM computation.

Let's break it down.

🛡️ How do you prove your app runs inside a TEE?

Not just “it's secure,” but verifiably secure — like showing your users cryptographic proof it’s really your code running in a TEE.

Here’s how 👇

🤝 Partnership Announcement: Phala x CrunchDAO

In a world where your intellectual property often ends up absorbed into someone else's pipeline, Phala and @crunchDAO are teaming up to change the game.

We're building a future where ML belongs to its creators—distributed, private, and secure. With Phala’s TEEs, @CrunchDAO can run models without exposure, keeping them auditable, verifiable, and owned by their makers.

Fur real.

We get it - MCP is hot, but it's vulnerable to security risks BY DESIGN - command injection, prompt hijacking, data leaks, SSRF, bad actors. The list goes on.

Phala TEE-based MCP stops the bleeding🩸.

Learn how. 🧵

☁️Phala Cloud Weekly Growth (April 2 - April 9)

📈Total Users: 1147 → 1360 (+18.6%)
💻Total VMs: 1076 → 866 (-19.5%)
📊Running VMs: 392 → 437 (+11.5%)
⚡vCPU: 3180 → 2474 (-22.2%)