Phala ✓

@PhalaNetwork · San Francisco, CA · joined 27 Aug 2019

Empowering 10,000 builders and companies to build scalable, private, and safe intelligence.

141 081Followers

836Following

6 334Posts total

68KViews on collected posts

โพสต์ล่าสุด

Phala ✓@PhalaNetwork4 Sep

Phala Confidential AI: 38.86 billion billed input + output tokens over the past 24 hours. Top models: 1. DeepSeek V4 Flash — 28.59% 2. GLM-5.2 — 13.61% 3. GLM-5.3 — 9.53% Explore #1: https://t.co/HFFGd77pc1 TEE-backed AI infrastructure. https://t.co/LJZU5O8oer 3.5K views · 66 likes · 6 reposts · 4 replies Open on X →

Phala ✓@PhalaNetwork4 Sep

ViMax transforms ideas, novels, or scripts into multi-scene video plans and final generated clips. The Phala template uses a source_verifier runtime. https://t.co/vRJiogOCEI https://t.co/ELlLUmPw2u 3.8K views · 53 likes · 4 reposts · 1 replies Open on X →

Phala ✓@PhalaNetwork1 Sep

39.81 billion tokens powered Confidential AI on Phala over the past 24 hours. Top models: 1. DeepSeek V4 Flash — 29.90% 2. GLM-5.2 — 17.19% 3. Kimi K3 — 14.98% Explore #1: https://t.co/HFFGd77pc1 TEE-backed AI infrastructure. https://t.co/9TzuFhBlgY 6.3K views · 64 likes · 8 reposts · 0 replies Open on X →

Phala ✓@PhalaNetwork31 Aug

Phala Confidential AI network token volume: 42.98 billion billed input + output tokens over the past 24 hours. Top models 1. Kimi K3 — 35.48% 2. DeepSeek V4 Flash — 22.56% 3. Qwen3.5 397B A17B — 8.50% https://t.co/eHSPzOFiwk TEE-backed AI infrastructure. https://t.co/3IiBcsdve 4.9K views · 98 likes · 14 reposts · 6 replies Open on X →

Phala ✓@PhalaNetwork23 Jul

@PhalaNetwork Why aren't these amounts quoted in $PHA? https://t.co/YFigTr3Crf 246 views · 2 likes · 0 reposts · 0 replies Open on X →

Phala ✓@PhalaNetwork25 Jun

For builders, this points to the next bar for private AI infra: scale Kubernetes workloads while preserving hardware-backed identity per Pod. Full writeup: https://t.co/KdtOc2Vo75 1.7K views · 22 likes · 1 reposts · 0 replies Open on X →

Phala ✓@PhalaNetwork25 Jun

The paper introduces dstack-capsule: Pod-level attestation, privilege fuse, multi-layer sandbox, and a Kubernetes implementation on Intel TDX + Sysbox. dstack: https://t.co/bzMCR6DXVw https://t.co/WKxzSCSpQA 2K views · 25 likes · 2 reposts · 1 replies Open on X →

Phala ✓@PhalaNetwork25 Jun

The design uses a two-layer model: • static platform measurements frozen in RTMR[3] • dynamic Pod identity carried in TDX Quote report_data A verifier can check the Pod before it receives secrets, data, or service access. https://t.co/pzlNl8pnxa 1.7K views · 19 likes · 1 reposts · 1 replies Open on X →

Phala ✓@PhalaNetwork25 Jun

What changes at Pod level: attestation moves from “this VM looks right” to “this exact Kubernetes Pod is running the expected image, on measured hardware, with the expected cluster identity.” That is the trust layer cloud-native AI needs. https://t.co/ZQmDVR7Tf2 1.7K views · 23 likes · 2 reposts · 1 replies Open on X →

Phala ✓@PhalaNetwork25 Jun

OPPO × Phala published a joint paper on Kubernetes Pod-level remote attestation for confidential AI. Goal: prove the hardware, container image, and Pod identity before sensitive data enters the workload. https://t.co/jQjC6DFsS0 https://t.co/fX68Ij8ECm 42.1K views · 146 likes · 25 reposts · 16 replies Open on X →

เทียบกับบัญชีขนาดเดียวกัน

4 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 100K–1M ผู้ติดตาม แสดงไปไกลเกินผู้ติดตามของตัวเอง และผู้ชมก็ตอบสนอง.

ยอดดูมัธยฐาน4 371บัญชีนี้5 983ค่ามัธยฐานของ 100K–1M

การเข้าถึง, %3.10%บัญชีนี้1.49%ค่ามัธยฐานของ 100K–1M

การมีส่วนร่วม, %1.86%บัญชีนี้0.93%ค่ามัธยฐานของ 100K–1M

ตัวชี้วัด	บัญชีนี้	ค่ามัธยฐานของ 100K–1M	อัตราส่วน
ยอดดูมัธยฐานต่อโพสต์	4 371	5 983	0.73×
การเข้าถึง (ยอดดู ÷ ผู้ติดตาม)	3.10%	1.49%	2.08×
อัตราการมีส่วนร่วม	1.86%	0.93%	2.01×

บัญชีอื่นในช่วงนี้ → เปรียบเทียบกับบัญชีอื่น → ค่าอ้างอิงเหล่านี้คำนวณอย่างไร →

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