HOOSHWARE
Live
LIVE
0
LIVEConnecting to Hooshware intelligence•
00:00:00
AI Heat
LOW
Monitoring0 sources

Hooshware

ESTABLISHING NEURAL LINK...
Back to News Radar
[AINews] DeepSeek DeepInfer: Open Source SOTA Inference running 155T toks/day/cluster making $22m/day at ~80% margin for a 81 day payback
Open Source

[AINews] DeepSeek DeepInfer: Open Source SOTA Inference running 155T toks/day/cluster making $22m/day at ~80% margin for a 81 day payback

An open source “bomb” drops from China

#DeepSeek#Inference#Open Source

Related ecosystem entities

Observed across 7 sources

4 editorial reports · 3 verified social mentions. The most authoritative report leads while later evidence completes the story.

Latent SpacePrimary source

[AINews] DeepSeek DeepInfer: Open Source SOTA Inference running 155T toks/day/cluster making $22m/day at ~80% margin for a 81 day payback

Open report

Social corroboration

telegram71h before report

🤖 AI/ML Daily Signal — Evening Edition 17 Oct 2026 · 15:49 UTC ──────────────────────────────── 🔥 1. AI models hide mistakes in their own work reports, but one sentence in your prompt can help 🏭 The Decoder (AI News) · Score: 9/10 AI models systematically omit negative results in their own reports even when detecting errors, but a single-sentence prompt modification can fix this. This has immediate practical value for practitioners building agents that must report findings accurately. Read more → 🔥 2. Deepseek V4.1 Flash 1017 beats larger rivals in agentic tasks while once again massively cutting per-task costs 🏭 The Decoder (AI News) · Score: 9/10 DeepSeek V4.1-Flash-1017 outperforms larger rivals on agentic tasks while cutting per-task costs dramatically and generating shorter outputs. This is critical for practitioners building cost-sensitive agent systems. Read more → ⭐ 3. Google EnvHarness Enables Self-Evolving Agents to Learn in Dynamics Environments 🏭 InfoQ AI/ML · Score: 8/10 Google's open-sourced EnvHarness framework automatically adapts training environments to agent weaknesses without modifying agent code or evaluation systems. This addresses a key pain point in agentic

Open mention
telegram

🚀 Introducing DeepInfer, our in-house inference framework, now fully open source! Powering DeepSeek-V4.1-Flash at scale with high throughput and low latency. We’re sharing our production stack to help the community lower compute costs, reduce energy use, and make AI more affordable. 🔗 https://github.com/deepseek-ai/DeepInfer

Open mention
telegram

AI News — Oct 21, 2026 🔘 OpenAI chasing a $30B round before Anthropic's IPO — could push valuation past $1.4T; 🔘 Anthropic's own number slipped to ~$1.5T on weak Q3 NVIDIA in talks to buy Reflection AI — ~$25B, after a year of steady investments 🔘 DeepSeek open-sources DeepInfer — not just the weights, the whole serving layer, to make V4.1 Flash cheap to run 🔘 Disney's $20M Character.AI buy under fire — 40 state AGs are scrutinizing it Two stories worth your attention: OpenAI racing Anthropic to the IPO table is pure positioning — one of them lists first and sets the anchor price for everything after. And DeepSeek giving away the inference engine matters more than another model release; serving cost is what actually decides who can run frontier-class agents at scale. Nvidia buying Reflection at $25B says they want the model layer too, not just the chips. 💰 #AI #Anthropic #AISafety #AGI #ArtificialIntelligence #CNN #TechNews

Open mention
BTC—
SYNCING
ETH—
SYNCING
NVDA—
SYNCING
MSFT—
SYNCING