NVM Express
PulseAugur coverage of NVM Express — every cluster mentioning NVM Express across labs, papers, and developer communities, ranked by signal.
- instance of Sata 90%
- used by Amazon SageMaker HyperPod 80%
- used by PCI Express 5.0 70%
- used by Mingxin FX100 70%
- used by PCI Express 4.0 70%
- used by Thunderbolt 5 70%
- used by Colibri 70%
- competes with Sata 60%
- competes with hard disk 60%
- uses hard disk 60%
- used by High Bandwidth Memory 60%
- instance of Thunderbolt 5 50%
8 day(s) with sentiment data
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User finds 512GB NVMe drive while cleaning room
A user on Mastodon discovered a 512GB NVMe drive while cleaning their room, comparing the find to unexpectedly discovering money. The post highlights the increasing storage capacity available, even in personal spaces.
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New distributed file system 3FS targets AI workloads
3FS is a new distributed file system designed for AI workloads, integrating RDMA networks, NVMe storage, and strong consistency. It also features parallel checkpointing capabilities. The system aims to provide high perf…
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DockCase launches versatile handheld gaming dock with NVMe storage and capture card
DockCase has launched the Mount Ling 2 Pro, a versatile dock designed for handheld gaming devices like the Steam Deck and ROG Ally. This device functions as a docking station, an NVMe SSD enclosure supporting up to 4TB …
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HDD and SSD prices to remain high until 2030 due to chip shortages
Prices for HDDs and SSDs are expected to remain elevated due to ongoing chip shortages, a situation referred to as RAMageddon. While traditional HDDs offer a more stable and cost-effective solution for mass storage, SSD…
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WorldPager system enables long-horizon world models on single GPU
Researchers have developed WorldPager, a novel memory system designed to enable long-horizon world models to run on a single consumer GPU. This system addresses the capacity and positional horizon limitations of existin…
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NVIDIA launches Minerva AIOps platform for AI factory observability
NVIDIA has launched Minerva, an AIOps platform designed to enhance the productivity and yield of AI factories by providing end-to-end observability. The platform integrates telemetry from both infrastructure and AI work…
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NVMe KV cache offloading for LLMs: Bandwidth math and model size impact
Offloading KV cache to NVMe drives for LLMs is only beneficial when the drive's sustained bandwidth exceeds the recomputation cost for a given prompt length, model size, and GPU. A study on Llama 3.2 3B models showed th…
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FADU integrates filesystem into SSDs to bypass host CPUs
FADU has developed a new File-Semantic SSD (FS-SSD) that integrates the filesystem directly into the SSD's flash memory. This innovation aims to bypass host CPUs, allowing GPUs and DPUs to access files directly without …
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SanDisk offers 512GB Switch 2 microSD card for $98
SanDisk is offering a 512GB microSD Express card, designed for the Nintendo Switch 2, at a discounted price of $98. This card boasts significantly faster read and write speeds compared to traditional microSD cards, util…
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Vurt pushes for vertical video as a distinct genre, with major streamers experimenting
Vurt is advocating for vertical videos to be recognized as a distinct genre, noting that major streaming services like Disney Plus and HBO Max are actively exploring this format. This trend suggests a growing industry i…
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Windows 7 gaming performance tested on modern PC vs Windows 11
A recent test compared the gaming performance of Windows 7 on modern hardware against Windows 11. Despite its age, Windows 7 showed advantages in certain scenarios, particularly with older DirectX 9 and DirectX 11 title…
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AI researcher seeks hardware advice for fine-tuning Qwen3.5-14B-Base model
A user on Reddit's r/MachineLearning subreddit is seeking hardware recommendations for fine-tuning a satire model based on Qwen3.5-14B-Base. The user encountered memory issues while attempting a full fine-tune on a clou…
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Local LLM performance compared with interactive model ledger
The author of this post has created a "model ledger" to address the complexities of comparing local LLM performance across different hardware and testing setups. This interactive ledger compiles results from 129 rows an…
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125B LLM runs on RTX 4090 with 100 tok/s speed, but needs massive RAM
A new model architecture, Qwen 3.8 Flash Next, has demonstrated the ability to run on a single RTX 4090 GPU at approximately 100 tokens per second. This is achieved by employing a sparse Mixture-of-Experts (MoE) design …
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133 GB MoE model runs on 8 GB GPU via NVMe streaming
A technical blog post details a method for running a large 133 GB Mixture-of-Experts (MoE) model, Qwen3.8 Flash-Next, on a consumer-grade 8 GB GPU. The technique involves streaming model experts from NVMe storage and ut…
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BiWin launches tiny 2TB CL 100 Mini SSD for portable gaming
BiWin has released the CL 100 Mini, an ultra-compact 15x17mm NVMe SSD designed for portable gaming devices. This tiny drive offers capacities up to 2TB and utilizes a PCIe 4.0 interface, achieving speeds of 3700 MB/s se…
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Colibri engine enables 744B parameter LLMs on desktop via novel weight streaming
A new inference engine called Colibri allows users to run extremely large Mixture-of-Experts (MoE) models, such as those with 744 billion parameters, on standard desktop hardware. Instead of compressing the model to fit…
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150B MoE model runs on laptop via NVMe storage, bypassing GPU
Researchers have demonstrated a 150-billion-parameter mixture-of-experts (MoE) model that can be streamed directly from NVMe storage on a standard developer laptop. This setup bypasses the need for a usable GPU, with th…
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Colibri inference engine enables 744B models on consumer hardware
Colibri, a C inference engine, enables running large language models with up to 744 billion parameters on consumer hardware. It achieves this by storing dense layers in RAM and streaming routed experts from NVMe storage…
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Ollama model reloading issue resolved with server-side keep-alive setting
A developer investigated why their local AI model was performing inconsistently, discovering that Ollama was reloading the model from disk frequently due to a default 5-minute idle timeout. This reloading process signif…