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Strata is the shit

Reddit r/LocalLLaMA ↗ · 6d ago

用户分享使用 Strata 替换 llama.cpp 运行 Qwen 3.8 Flash Next 后,解码速度从 70-80 tk/s 提升至 150 tk/s,并顺带测试了 DeepSeek v4.1flash 2.25bit 量化在多 GPU 上的表现。

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#gpu

RTX 5090 with 64GB and 96GB VRAM 'confirmed' by US GPU repair tech

Reddit r/LocalLLaMA ↗ · 6d ago

A US-based GPU repair technician claims that NVIDIA RTX 5090 variants with 64GB and 96GB of VRAM exist, suggesting potential pro-grade or workstation versions of the Blackwell consumer card.

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#gpu

@0xluffy_eth: This has to be a huge scandal for Nvidia! The performance of the graphics card you bought was artificially cut in half.. But now it’s officially been cracked! Someone released an open-source tool called 'gpu-unlock' that can remove Nvidia’s software restrictions on GeForce graphics cards for personal use. Processing power skyrockets: • RTX 3060: from 27…

X AI KOLs Timeline ↗ · 6d ago Cached

Someone has released an open-source tool called 'gpu-unlock', claiming it can remove NVIDIA's software restrictions on GeForce graphics cards, substantially boost the computing power of the RTX 3060/3090/4090, and significantly accelerate AI workloads such as image generation, model fine-tuning, and LLM inference.

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#gpu

Rtx 8000 48gb prices have decreased over the last two years while 3090 doubled.

Reddit r/LocalLLaMA ↗ · 6d ago

The author reports that RTX 8000 48GB prices have fallen to around $2100 while RTX 3090 prices have roughly doubled, arguing the RTX 8000 may now be the best value 'do everything' option for running large local models in VRAM for home-lab setups.

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#gpu

V100 SXM2 pinout and NVLink reference

Hacker News Top ↗ · 6d ago Cached

An open-source reference kit for NVIDIA V100 SXM2 pinouts and NVLink interconnects, providing 800 canonical contacts, connection tables, and KiCad starter designs for two- and four-GPU configurations as groundwork for an open carrier board.

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#gpu

@PyTorch: Today, PyTorch Foundation project, Ray is announcing the Special Interest Group (SIG) for Ray on Accelerators. Ray alre…

X AI KOLs Following ↗ · 6d ago Cached

The PyTorch Foundation project Ray announced a Special Interest Group (SIG) for Ray on Accelerators, uniting hardware vendors, cloud providers, and the Ray community around a vendor-neutral roadmap covering hardware-aware testing, topology-aware scheduling, and Ray Direct Transport.

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#gpu

8 agents × 250K context, concurrently, on two 3090s (~600+ tok/s total)

Reddit r/LocalLLaMA ↗ · 2026-11-02

A developer shares open-source vLLM patches and Triton kernels that run 8 coding agents with 250K-token contexts concurrently on two RTX 3090s by keeping the full int4 KV cache in system RAM and fetching only ~1% of tokens per attention step via a rank-64 key sketch, reporting ~545-790 tok/s total and 31/32 recall at 250K.

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#gpu

Speedy is shockingly good for qwen3.8 FN

Reddit r/LocalLLaMA ↗ · 2026-11-01

The author benchmarks Speedy against Avalon and Strata for running a Qwen3.8 model locally, finding Speedy dramatically faster: 4x faster reading, generation tok/s around 105-110, and 26-31% shorter total wall-clock time than Avalon.

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#gpu

Lenovo LOQ 15: The Only Gaming Laptop Worth Buying Below $1,500

Wired ↗ · 2026-11-01 Cached

Wired recommends the Lenovo LOQ 15 as the best gaming laptop under $1,500 amid memory-shortage-driven price hikes, highlighting its RTX 5060 configuration at $1,300 and an RTX 5050 deal at $999 as unmatched value against rivals.

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#gpu

Are bespoke inference engines overhyped? My Strata experience on 2× R9700

Reddit r/LocalLLaMA ↗ · 2026-11-01

The author shares disappointing results running Qwen3.8 Flash-Next on 2× R9700 GPUs via the Strata inference engine, finding no real-world gains over llama.cpp despite higher token throughput, and questions whether bespoke inference engines are overhyped.

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#gpu

Rented some server time and wanted to share some learnings from benching using RAM heavier servers with some decent GPU: AMD EPYC and ROME motherboards really *ARE* worth it: Qwen 3.8 Flash Next Unsloth Q8 at 94 tok/s c=1, 456 tok/s c=8 .

Reddit r/LocalLLaMA ↗ · 2026-11-01

A user benchmarked LLM inference on rented vast.ai servers with dual AMD EPYC 7642 (ROME) boards, large DRAM, and RTX 3090s, finding that RAM-heavy server builds deliver near-linear scaling up to 8 concurrent streams — hitting 94 tok/s at c=1 and 456 tok/s at c=8 on Qwen 3.8 Flash Next Unsloth Q8.

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#gpu

@TheAhmadOsman: WOW, I wonder if that is why NVIDIA decommissioned the RTX 5090

X AI KOLs Following ↗ · 2026-10-31 Cached

A tweet speculates about NVIDIA decommissioning the RTX 5090, quoting a claim that 64GB and 96GB versions of the RTX 5090 have been confirmed.

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#gpu

Speeding up GPU copies by permuting iteration spaces, or, optimising the identity function

Lobsters Hottest ↗ · 2026-10-31 Cached

Futhark 博客介绍了一种通过利用运行时数组布局信息、置换迭代空间来加速 GPU 大块数据拷贝的优化技术,该方法基于线性内存访问描述符(LMADs),对部分程序有小幅性能提升。

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#gpu

@_avichawla: This is the strangest property of LLM inference: Your LLM's output depends on requests that aren't yours. The same prom…

X AI KOLs Timeline ↗ · 2026-10-31 Cached

A technical explainer on why LLM outputs can vary between identical requests: floating-point accumulation order changes with batch size on the GPU, causing tied tokens to flip and completions to diverge even at temperature 0. It highlights batch-invariance flags in vLLM, SGLang, and DeepSeek's DeepInfer, noting the throughput trade-offs for reproducible outputs.

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#gpu

Qwen3.8-Flash-Next on 2x RTX 5090 with 504 tok/s decode: QEngine 1.3.1 decodes ~1.5-1.9x faster than the next-best engine I've tried (numbers, caveats, and what still bites)

Reddit r/LocalLLaMA ↗ · 2026-10-31

A detailed benchmark shows QEngine 1.3.1 (compiled for RTX 5090s) is the fastest Qwen3.8-Flash-Next engine for single-stream decode, ~1.4-1.9x faster than Strata and ~3x faster than tuned vLLM, with a KV-in-RAM mode that dramatically improves warm returns to idle conversations.

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#gpu

AMD reportedly plans another Radeon GPU price increase in November

Reddit r/LocalLLaMA ↗ · 2026-10-30

据报导,AMD 计划在 11 月再次上调 Radeon GPU 价格,这可能进一步影响显卡市场的定价动态。

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#gpu

Complete Dell workstation with 96GB NVIDIA GPU may cost less than graphics card alone

Reddit r/LocalLLaMA ↗ · 2026-10-30

A complete Dell workstation equipped with a 96GB NVIDIA GPU may cost less than the standalone graphics card alone, highlighting shifting pricing dynamics in the high-end GPU market.

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#gpu

Right now you can get an RTX 6000 Pro Workstation For 12k from Dell

Reddit r/LocalLLaMA ↗ · 2026-10-30

A Reddit user reports that Dell is currently selling RTX 6000 Pro Blackwell workstation GPUs bundled in Dell desktops for around $12k, and with discounts and rewards the net cost of just the GPU could drop to roughly $10k — an unusually low price amid high GPU demand.

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#gpu

@rohanpaul_ai: the total computing power of all AI chips in use is growing 3.4x a year. per Epoch AI but if each year’s new chip purch…

X AI KOLs Following ↗ · 2026-10-29 Cached

Rohan Paul cites Epoch AI data showing total compute of AI chips in use grows 3.4x yearly, but warns that if new chip purchases slow to 2.5x growth, overall compute growth will follow.

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#gpu

AMD's ROCm HRX Loom v0.1 released for targeting AMD CPUs, GPUs & NPUs

Reddit r/artificial ↗ · 2026-10-29 Cached

AMD released the ROCm HRX Loom SDK v0.1, a specialized compiler and IR stack that targets AMD CPUs, GPUs, and NPUs, with support for AMDGPU HSA, SPIR-V/Vulkan, and emerging x86/WebAssembly backends.

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