Join us on July 2 for the Afternoon TEE Party with our friends @iEx_ec, @OasisProtocol & @AutomataNetwork. Expect a lot of cocktails, sandcastles, and Web3 privacy.
⏰ July 2, 6:00 PM CEST (UTC+2) 📍 RSVP: https://lu.ma/oo9j90j1
Phala Cloud saw growth in the past week with more users, more VMs, and higher vCPU demand.
Sure, GPU TEE usage dipped 23.6% — but on the bright side, LLM token usage for Qwen 2.5 7B Instruct went through the roof since early June. Smarter AI, sleeker compute.
Phala Cloud saw growth in the past week with more users, more VMs, and higher vCPU demand.
Sure, GPU TEE usage dipped 23.6% — but on the bright side, LLM token usage for Qwen 2.5 7B Instruct went through the roof since early June. Smarter AI, sleeker compute.
Phala Cloud saw growth in June with more users, more VMs, and higher vCPU demand.
Sure, GPU TEE usage dipped 23.6% — but on the bright side, LLM token usage for Qwen 2.5 7B Instruct went through the roof since early June. Smarter AI, sleeker compute.
Modern AI workloads—think LLMs, real-time inference—need massive parallelism. GPUs like NVIDIA’s H100 do that beautifully. But here's the harsh truth: once your data hits GPU memory, it's COMPLETELY exposed.
The past week (June 11–18) was a strong week for Phala. We saw growth across all areas—users, VMs, and vCPUs—but Phala's GPU TEE usage on OpenRouter stood out, surging from 296M to 657M: a 122% increase🔥 in secure compute demand (
@encifherio taps into Phala’s TEE-powered Dstack to launch a privacy-preserving co-processor enabling secure, verifiable, off-chain computation on existing blockchains.
🔥 Bonus: TEE-secured threshold decryption guards against MPC collusion.
😶🌫️ Phala Cloud’s been putting in work — Here’s a quick snapshot of last week’s growth.
Most key areas saw solid growth📈. The only dip was in GPU TEE usage, partly because Nous: Hermes 3 was removed from Phala’s LLM offering on OpenRouter (https://openrouter.ai/provider/phala).
🧵 Phala × PublicAI: Building Trustworthy AI from the Ground Up
Phala and PublicAI are teaming up to fix AI’s biggest problems: ❌trust, ❌privacy, and ❌transparency in training data. Here’s how TEE + decentralized data annotation changes everything.
Phala is partnering up with @PublicAI_ to set a new standard for ethical AI. By combining Phala's TEE-secured infrastructure with decentralized data annotation, we’re enabling AI training verifiable, private, and tamper-proof — from dataset to model.
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 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.