AI Wiki
TimelineEvolutionGraphStatusLandscapesAsk wiki
Live from Git
AI Wiki
TimelineEvolutionGraphStatusLandscapesAsk wiki
Live from Git
Filter entries
Categories
  • All entries123,042
  • Agents10,307
  • Applications7,008
  • Companies3
  • Concepts7
  • Hardware2,676
  • Industry6,754
  • Local Ai6,830
  • Model Releases35,347
  • Research28,731
  • Safety18,960
  • Syntheses30
  • Tools1,769
  • Tutorials4,620

Source
HumanDGX agent

Content type
AllBlogX PostPaperYouTubeRedditGitHub
Clear filters
Categories
  • All entries123,042
  • Agents10,307
  • Applications7,008
  • Companies3
  • Concepts7
  • Hardware2,676
  • Industry6,754
  • Local Ai6,830
  • Model Releases35,347
  • Research28,731
  • Safety18,960
  • Syntheses30
123,042Total entries
59Added by human
122,983Found by agent
13Categories

Knowledge catalogue

Search: “hardware”

GridTimelineEvolution
6,813 results
CompaniesToolsTechniques

Each lane shows up to 8 recent matching entries, ordered from earlier to later. Tracks load separately to keep the 75,000+ entry wiki fast.

Companies

CompanyAnthropic8 recent entries
9 Oct 2026Qwen 3.6 35B appreciation post

Referring to specifically Unsloth's UD_Q4_K_XL quant because that's going to be a question, and is relevant regardless. It's old now. It's not great at coding medium sized or even small-ish projects.

→9 Oct 2026OpenAI revenue falls short, models play hopscotch and Trump cracks down on tech green cards

I’m not going to call the bursting of artificial intelligence bubble yet, not with all that money still pouring into every hardware and software company with AI in their pitch decks. But we got a litt

Tools
1,769
  • Tutorials4,620

  • Source
    HumanDGX agent

    Content type
    AllBlogX PostPaperYouTubeRedditGitHub
    Clear filters
    →
    10 Oct 2026Qwen3.8-27B on a single 3090: 140 tok/s on code with a custom megakernel

    I've been using Claude Opus 5.5 to speed up Qwen3.8-27B on my PC (rtx 3090), it wrote a CUDA megakernel that is 1.4-1.9x faster than llama.cpp depending on the task/context length. The results and cod

    →10 Oct 2026Basalt: Flash-Next at 665 tok/s structured, 354 prose on a 5090 + 5060 Ti (2.6x Strata)

    Basalt: Blackwell inference engine Hi all! So over the last week I've been working on a Strata fork that's heavily tuned and can achieve throughput up to 2.6x what Strata usually does on the same weig

    →11 Oct 2026vllm-ascend updates (GLM5.3-flash) on dual 310p Ascend cards

    Alright, I learend a few valuable lessons since I posted about a week ago, and I've made more strides with the DDR4x Ascend 96GB 310P cards I purchased, so here we go, meet the new friendly and less v

    →11 Oct 2026'Strata' for GLM5.3 Flash is here for some! Project Maya

    I stumbled across this as I was currently having glm5.3 flash run only around 10tok/s basically unusable. With Maya i am running 30 tok/s now. GLM5.3 feels even with this low quant like a much more en

    →11 Oct 2026Nvidia reportedly in early talks to buy, acquihire or invest more in Reflection AI

    Nvidia Corp. is in early talks to acquire open-weight model developer Reflection AI Inc. or invest more in the startup, according to the Financial Times. People familiar with the matter told the paper

    →11 Oct 2026I tested different Qwen 3.8 27B quants

    There is a lot of discussion which quant to use. Especially a lot of post how much speed you gain with FP4, but not much about quality. So i tested some of the models that I use on my R9700. Models: Q

    CompanyOpenAI8 recent entries
    9 Oct 2026The Agent Economy Gala just maxed out at 400 guests Here’s a breakdown: - 203 founders ($1B+ raised combined) - 67 founding operators - 58 i…

    The Agent Economy Gala just maxed out at 400 guests Here’s a breakdown: - 203 founders ($1B+ raised combined) - 67 founding operators - 58 investors - 23 creators - 295 guests building agent applicati

    →9 Oct 2026OpenAI revenue falls short, models play hopscotch and Trump cracks down on tech green cards

    I’m not going to call the bursting of artificial intelligence bubble yet, not with all that money still pouring into every hardware and software company with AI in their pitch decks. But we got a litt

    →10 Oct 2026Qwen3.8-27B on a single 3090: 140 tok/s on code with a custom megakernel

    I've been using Claude Opus 5.5 to speed up Qwen3.8-27B on my PC (rtx 3090), it wrote a CUDA megakernel that is 1.4-1.9x faster than llama.cpp depending on the task/context length. The results and cod

    →10 Oct 2026microsoft doubles down on local ai with nvidia, but with a cost

    https://preview.redd.it/uyjw2lcrvkuh1.png?width=1536&format=png&auto=webp&s=ce991be22faec3de5cbaf39119c14782b6ed0af3 link to article TLDR; new microsoft surface and nvidia rtx spark laptops are starti

    →10 Oct 2026Engineer / developer observations of Gemma4-31B, Qwen3.8-27B, and 6.1-Sol for software engineering work

    For what it's worth. I'm a mechanical engineer by education and software engineer in practice over the past ~20 years. Playing around with local models has been a recent hobby. Today I decided to do a

    →10 Oct 2026Basalt: Flash-Next at 665 tok/s structured, 354 prose on a 5090 + 5060 Ti (2.6x Strata)

    Basalt: Blackwell inference engine Hi all! So over the last week I've been working on a Strata fork that's heavily tuned and can achieve throughput up to 2.6x what Strata usually does on the same weig

    →11 Oct 2026'Strata' for GLM5.3 Flash is here for some! Project Maya

    I stumbled across this as I was currently having glm5.3 flash run only around 10tok/s basically unusable. With Maya i am running 30 tok/s now. GLM5.3 feels even with this low quant like a much more en

    →12 Oct 2026Microsoft unveils its third-gen in-house AI chip, the Maia 300, built on TSMC's N2P process node and aimed at serving as its 'primary AI inference system' (Tom Warren/The Verge)

    Tom Warren / The Verge: Microsoft unveils its third-gen in-house AI chip, the Maia 300, built on TSMC's N2P process node and aimed at serving as its “primary AI inference system” — The new Maia 300 ch

    CompanyGoogle8 recent entries
    4 Oct 2026Wiki Lint Report — 2026-10-04

    Automated lint: 19 errors, 64915 warnings, 3 info

    →6 Oct 2026Introducing EmbeddingGemma 2: A best-in-class open model for natively multimodal embeddings | Google

    https://huggingface.co/google/embeddinggemma-2 EmbeddingGemma 2 is an open multimodal embedding model built by Google DeepMind which maps text (incl. code), images, video, and audio inputs—and combina

    →6 Oct 2026google/embeddinggemma-2 · Hugging Face

    EmbeddingGemma 2 is an open multimodal embedding model built by Google DeepMind which maps text (incl. code), images, video, and audio inputs—and combinations thereof—into a single, unified 768-dimens

    →6 Oct 2026Dynamic Harness Search: Building Multi-Agent Systems Per-Query via Prediction

    arXiv:2610.04137v1 Announce Type: new Abstract: Agent harnesses specify the roles, instructions, tools, and communication structure used to solve a task, and the right harness depends on the query. Be

    →6 Oct 2026AI is driving the biggest infrastructure build-out in history, with @Google alone forecasting $200B of capex in 2026E. What are the real con…

    AI is driving the biggest infrastructure build-out in history, with @Google alone forecasting $200B of capex in 2026E. What are the real constraints on a system at this scale? Amin Vahdat is the chief

    →7 Oct 2026Introducing Google Cloud’s U4 compute: Enabling ultra-low latency trading

    In capital markets, operational success is built on predictable performance and low latency, where even tiny variations in packet timing alter queue priority and trade execution. At the same time, bot

    →7 Oct 2026A universal predictive model of the cell would dramatically accelerate science, allowing biologists to perform experiments digitally. Today …

    A universal predictive model of the cell would dramatically accelerate science, allowing biologists to perform experiments digitally. Today we’re announcing a major partnership with the DOE and NIH. T

    →8 Oct 2026GPU - Vulkan llama.cpp benchmarks sorted by price to performance

    This table to help anyone looking to build a budget Data Center homelab. I copied the bulk of value based, mid level, decent speed results GPUs and feed it to AI or SI and here are the recommended res

    CompanyMeta8 recent entries
    8 Oct 2026GPU - Vulkan llama.cpp benchmarks sorted by price to performance

    This table to help anyone looking to build a budget Data Center homelab. I copied the bulk of value based, mid level, decent speed results GPUs and feed it to AI or SI and here are the recommended res

    →9 Oct 2026The Agent Economy Gala just maxed out at 400 guests Here’s a breakdown: - 203 founders ($1B+ raised combined) - 67 founding operators - 58 i…

    The Agent Economy Gala just maxed out at 400 guests Here’s a breakdown: - 203 founders ($1B+ raised combined) - 67 founding operators - 58 investors - 23 creators - 295 guests building agent applicati

    →10 Oct 2026What does the world look like inside an AI model? Here are 3 world model architectures based on how they represent the world (+ the subtypes…

    What does the world look like inside an AI model? Here are 3 world model architectures based on how they represent the world (+ the subtypes) ↓ 1. A generated observation – a model predicts what comes

    →10 Oct 2026Qwen3.8-27B on a single 3090: 140 tok/s on code with a custom megakernel

    I've been using Claude Opus 5.5 to speed up Qwen3.8-27B on my PC (rtx 3090), it wrote a CUDA megakernel that is 1.4-1.9x faster than llama.cpp depending on the task/context length. The results and cod

    →10 Oct 2026Qwen Flash Next @ 137 tok/s & 3,497 tok/s Prefill w/ 512k context on a 5090, 192gb ram, Windows Build, comparing Strata and Infernix

    Strata vs Infernix on the same model, RTX 5090 — A/B at 262k and 512k context Hi folks, another inference engine post for your feed. I was blown away by Strata, but saw someone else post about Inferni

    →10 Oct 2026Qwen 3.6 35B A3B: 131K context + vision on 6GB VRAM

    Running HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive Q4_K_M with llama.cpp at ~600 tok/s prefill and 23 tok/s decode, 131k context window, Q8 KV cache - on an RTX 2060 6GB + 32GB DDR4 RAM.

    →10 Oct 2026Improve token per second without touching quant

    Spent the past month tweaking and experimenting with many different numbers to achieve 30tps. Hardware: -Rx6700xt 12gb vram (AMD) -2x16 ddr4 3200 ram -r5 5600x -llama.cpp vulkan sdk -window11 (no wsl

    →11 Oct 2026here’s some of what I went to friday night sf tech week > agent economy gala great jobb @imaanxsultan @llama_index > silicon valley idol so …

    Kemi posted on October 11, 2026 from San Francisco about attending events during SF Tech Week, highlighting the Agent Economy Gala where she praised @imaanxsultan and @llama_index. She noted a “silico

    CompanyMistral8 recent entries
    12 Sept 2026For those of you forced to only use open models from Western labs in production, what are you deploying?

    First off, I know that GLM, Qwen, and DeepSeek absolutely dominate in terms of SOTA Open Source models, and that’s what I use in my personal projects and for school, however, I’m also responsible for

    →14 Sept 2026DeepSeek engineer relections on RSI - burying my talent to yesterday

    Note - This is translated from the actual blog link right at the bottom. A few days ago, DeepSeek v4.1 was released. It raised the ability of small models to a new level. AI is improving much faster t

    →28 Sept 2026Energy Efficiency of Locally Deployed LLMs: A Preliminary Quantitative GPU Power Benchmark on Consumer Hardware

    arXiv:2608.00008v2 Announce Type: replace Abstract: The local deployment of large language models (LLMs) is gaining traction due to privacy concerns and the desire for on-premise inference. However, t

    →29 Sept 2026Multi-Bitwidth Quantization for LLMs Using Additive Codebooks

    arXiv:2606.12876v2 Announce Type: replace Abstract: As large language models (LLMs) are increasingly deployed across heterogeneous hardware with varying resource constraints, the ability to adaptively

    →29 Sept 2026Accelerating agentic RL and evaluation research velocity with 45x faster GKE Agent Sandbox

    When scaling up agentic reinforcement learning (RL) and evaluation across massive parallel rollouts, frontier AI labs inevitably hit a bottleneck: Expensive GPU clusters sit idle, waiting minutes for

    →30 Sept 2026Follow-up: my native Rust + Vulkan Transformer training backend — 14 days later, now 14 parity-verified architectures and full PEFT

    Follow-up to my post from about two weeks ago. A lot has changed since then, so I wanted to post an update on where the backend is now. Where the green architectures stand When I posted last time, 7 a

    →5 Oct 2026WakeKV: Reactive, Reversible KV Residency for Heads That Change Their Minds

    arXiv:2610.02713v1 Announce Type: new Abstract: Most KV-cache compression methods classify attention heads once, either offline or during prefill, and keep this classification fixed throughout generat

    →12 Oct 2026QLoRA on ExLlamaV3 Quants - Train @ 2-8bpw

    EXL3-QLoRA I've built this over the last few months and I think it's stable enough to share now. A fork of ExLlamaV3, this is a native ExLlamaV3 training implementation with plain PyTorch, without tra

    CompanyxAI8 recent entries
    20 Sept 2026Wiki Lint Report — 2026-09-20

    Automated lint: 14 errors, 54840 warnings, 3 info

    →21 Sept 2026Morgan Stanley's Adam Jonas in new note: 'SpaceX and Tesla share tech, talent, and infrastructure in a shared mission of converting energy t…

    Morgan Stanley's Adam Jonas in new note: 'SpaceX and Tesla share tech, talent, and infrastructure in a shared mission of converting energy to intelligence. In our view, it is the belief of Elon Musk &

    →27 Sept 2026SpaceX's CFO says Starlink demand is unprecedented. The interesting part is who's driving it! Larry Goldberg @TeslaLarry breaks down the Gol…

    SpaceX's CFO says Starlink demand is unprecedented. The interesting part is who's driving it! Larry Goldberg @TeslaLarry breaks down the Goldman conference interview. Bret Johnsen reiterated a coming

    →27 Sept 2026Wiki Lint Report — 2026-09-27

    Automated lint: 17 errors, 59669 warnings, 3 info

    →30 Sept 2026I got thousands of DMs and it looks like @bot can't automatically analyze DMs (when @elonmusk?) so it will take me a few days to go through …

    I got thousands of DMs and it looks like @bot can't automatically analyze DMs (when @elonmusk?) so it will take me a few days to go through all of them, sorry! If you don't get an answer, don't take i

    →4 Oct 2026Wiki Lint Report — 2026-10-04

    Automated lint: 19 errors, 64915 warnings, 3 info

    →5 Oct 2026The difference in what Anthropic and OpenAI as well as many others give you in value for a subscription is insane. We tested Meta, Minimax, …

    The difference in what Anthropic and OpenAI as well as many others give you in value for a subscription is insane. We tested Meta, Minimax, Kimi, Grok, and Cursor subscriptions It doesn't make sense t

    →8 Oct 2026AI hardware startup Natura unveils Interface, a $99 smart ring that connects to AI agents and apps, including Claude, ChatGPT, Muse, Grok Bot, and Instinct (Aisha Malik/TechCrunch)

    Aisha Malik / TechCrunch: AI hardware startup Natura unveils Interface, a 99 smart ring that connects to AI agents and apps, including Claude, ChatGPT, Muse, Grok Bot, and Instinct — Meet Interface, a

    CompanyDeepSeek8 recent entries
    6 Oct 2026CIPHER-MoE: Balancing Efficiency and Routing Fidelity in Trillion-Scale MoE Training

    arXiv:2610.05744v1 Announce Type: new Abstract: Mixture-of-Experts (MoE) has been widely adopted in recent large language model (LLM) architectures. However, scaling up MoE in LLM training introduces

    →6 Oct 2026[Benchmark] Running Local LLMs on Orange Pi 5 Plus (RK3588, 16GB): Ollama Tok/s, NPU Offloading, Core Pinning & Thermals

    Disclosure: This unit was provided free of charge by Orange Pi for testing. No editorial review, no preconditions, no script. All data, bottlenecks, and thermal behavior are reported directly from har

    →7 Oct 2026Local Qwen 3.8 27B vs DeepSeek Flash API: Is local good enough?

    Running a model on your own machine used to be a privacy story with a quality tax. On this generation that trade has narrowed to where we can state it plainly: for daily work, the local model is good

    →7 Oct 2026Beyond the Leaderboard: Multi-Dimensional Evaluation of Dense and Mixture-of-Experts Models for Automated Program Repair

    arXiv:2610.08173v1 Announce Type: cross Abstract: Automated Program Repair (APR) with language models is usually evaluated by whether a generated patch passes the test suite, which can hide difference

    →9 Oct 2026QUILT: Rethinking Sparse-Attention Prefill through Shared Query Execution

    arXiv:2610.11134v1 Announce Type: new Abstract: Sparse attention reduces the cost of long-context attention, but existing kernels typically process queries independently, repeatedly loading and dequan

    →10 Oct 2026Qwen Flash Next @ 137 tok/s & 3,497 tok/s Prefill w/ 512k context on a 5090, 192gb ram, Windows Build, comparing Strata and Infernix

    Strata vs Infernix on the same model, RTX 5090 — A/B at 262k and 512k context Hi folks, another inference engine post for your feed. I was blown away by Strata, but saw someone else post about Inferni

    →10 Oct 2026Qwen 3.6 35B A3B: 131K context + vision on 6GB VRAM

    Running HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive Q4_K_M with llama.cpp at ~600 tok/s prefill and 23 tok/s decode, 131k context window, Q8 KV cache - on an RTX 2060 6GB + 32GB DDR4 RAM.

    →12 Oct 2026Adaptive DHiSparse: Speculative Decoding over a Load-Adaptive KV Hierarchy

    arXiv:2610.13708v1 Announce Type: new Abstract: Long-context serving runs out of KV memory before the hardware reaches its useful throughput. HiSparse stores history in host memory and fetches only th

    CompanyNVIDIA8 recent entries
    11 Oct 2026'Strata' for GLM5.3 Flash is here for some! Project Maya

    I stumbled across this as I was currently having glm5.3 flash run only around 10tok/s basically unusable. With Maya i am running 30 tok/s now. GLM5.3 feels even with this low quant like a much more en

    →11 Oct 2026Nvidia reportedly in early talks to buy, acquihire or invest more in Reflection AI

    Nvidia Corp. is in early talks to acquire open-weight model developer Reflection AI Inc. or invest more in the startup, according to the Financial Times. People familiar with the matter told the paper

    →11 Oct 2026I trained a 102M recursive BitNet-v2 model from scratch: 64K context, trained on less than 5B tokens

    DISCLAIMER: the post and the model card was made with the assist of AI. Hiya, I’m releasing Recursive BitNet N-Gram 102M, a small experiment combining ternary weights, shared transformer layers, and h

    →12 Oct 2026RAMP: Recurrent Adaptive Mixed Precision for Efficient Prefill in Recurrent-Depth Language Models

    arXiv:2610.13041v1 Announce Type: new Abstract: Recurrent-depth language models improve inference-time reasoning by repeatedly applying a shared network to refine internal representations, but the add

    →12 Oct 2026Nvidia tackles AI factory scaling bottlenecks with open rack designs and networking advances

    Nvidia Corp. today announced new partnerships and contributions to the open-source community at the Open Compute Project Global Summit in San Jose, aimed at laying the foundation for the future of age

    →12 Oct 2026Microsoft’s new AI chip makes it less reliant on Nvidia’s GPUs

    Microsoft is announcing its third-generation Maia in-house AI chip today, designed to be the 'primary AI inference system' for Microsoft's products and services. Maia 300 not only improves the cost an

    →12 Oct 2026Cisco Systems scales programmable AI network capacity with new silicon and repluggable optics innovations

    Cisco Systems Inc. took to the stage at the annual Open Compute Project Global Summit today, unveiling a new suite of open silicon and optical networking systems as it delivered one of the event’s mos

    →12 Oct 2026A Record of the Process of Increasing MFU from 21% to 50% While Pre-training 21B MoE Using a Single GH200 Chip (Includes Code and Logs)

    I am an independent researcher. Due to budget constraints, I shifted my 21B MoE pre-training—which I had originally planned to run on 64 H100s—to a single NVIDIA GH200 ($2.29 per hour), and I have com