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661.
▲
Node.js bindings for Nvidia cuVS > GPU-accelerated vector search
(github.com/638Labs)
2 points
gmatt
2 months ago
3 comments
662.
▲
Testers wanted: VM-curator v0.2.0 with GPU pass-through support
(github.com/mroboff)
2 points
theYipster
4 months ago
3 comments
663.
▲
Show HN: Velda – Run jobs with serverless GPUs, without container images
(velda.io)
2 points
eagleonhill
24 days ago
2 comments
664.
▲
I built a pure WGSL LLM engine to run Llama on my Snapdragon laptop GPU
(github.com/Beledarian)
2 points
Beledarian
2 months ago
2 comments
665.
▲
Qwen3.5-35B – 16GB GPU – 100T/s with 120K context AND vision enabled
(github.com/willbnu)
2 points
willfinger
3 months ago
2 comments
666.
▲
Show HN: Tortuise – Gaussian splatting in your terminal, no GPU required
(github.com/buildoak)
2 points
buildoak
3 months ago
2 comments
667.
▲
Rore: A GPU-Accelerated UI Framework in Rust (No DOM, No Webview)
(github.com/davlatov-tech)
2 points
Davlatov
7 months ago
2 comments
668.
▲
Show HN: Chisel – AMD GPU development that feels local but runs in the cloud
(pypi.org)
2 points
technoabsurdist
a year ago
2 comments
669.
▲
IPEX-LLM Portable Zip for Ollama on Intel GPU
(github.com/intel)
2 points
colorant
a year ago
2 comments
670.
▲
Arrow DataFusion includes Ballista, which does SIMD and GPU vectorized ops
(github.com/apache)
2 points
westurner
5 years ago
2 comments
671.
▲
UltrafastSecp256k1 – 4.88M ECDSA signs/s on GPU zero dependencies 12 platforms
(github.com/shrec)
2 points
shrecshrec
4 months ago
1 comment
672.
▲
LoudCull – Agentless multi-cloud GPU zombie killer (Python/Terraform)
(github.com/daretechie)
2 points
dhrey112
4 months ago
1 comment
673.
▲
Show HN: ZTerm, a GPU-accelerated terminal emulator built with Rust and GPUI
(github.com/zerx-lab)
2 points
zero-lab
4 months ago
1 comment
674.
▲
Predict your distributed LLM training time before you burn GPU hours
(github.com/DebarghaG)
2 points
barthelomew
5 months ago
1 comment
675.
▲
Show HN: QingMing – Exact vector search on consumer GPUs (no index)
(github.com/uulong950)
2 points
uulong
5 months ago
1 comment
676.
▲
Show HN: Shared Device Group – GPU sharing at the Kubernetes scheduler level
(github.com/sceneryback)
2 points
ChuangLabs
5 months ago
1 comment
677.
▲
MetaXuda – 1.1 Tops GPU Runtime for Apple Silicon ML (Rust and Metal)
(github.com/Perinban)
2 points
perinban
5 months ago
1 comment
678.
▲
Duckstation now supports the original SCPH-1002 PlayStation GPU
(github.com/stenzek)
2 points
bane
5 months ago
1 comment
679.
▲
Show HN: Picomon, a minimal TUI monitor for AMD GPUs
(github.com/omarkamali)
2 points
omneity
6 months ago
1 comment
680.
▲
Show HN: KV Marketplace – share LLM attention caches across GPUs like memcached
(github.com/neelsomani)
2 points
nsomani
7 months ago
1 comment
681.
▲
Triplet-extract is a GPU-accelerated Python implementation of Stanford OpenIE
(github.com/adlumal)
2 points
adlumal
7 months ago
1 comment
682.
▲
NumPy-First AI: Persona-Aware Semantic Models Without GPUs
(github.com/farukalpay)
2 points
HenryAI
8 months ago
1 comment
683.
▲
Show HN: Loft CLI – Fine-tune and run LLMs (1–3B) on 8 GB MacBook Air, no GPUs
2 points
dips2umar
a year ago
1 comment
684.
▲
Show HN: Ish – a grep like CLI tool using SIMD/GPU alignment, built with Mojo
2 points
totalperspectiv
a year ago
1 comment
685.
▲
FlashMoE: DeepSeek-R1 671B and Qwen3MoE 235B with 1~2 Intel B580 GPU in IPEX-LLM
(github.com/intel)
2 points
colorant
a year ago
1 comment
686.
▲
Infernet: A Peer-to-Peer Distributed GPU Inference Protocol
(github.com/profullstack)
2 points
cranberryturkey
a year ago
1 comment
687.
▲
First Golang Project, CLI System Monitor Tool for CPU and GPU
(github.com/nikpocuca)
2 points
pocucandr
a year ago
1 comment
688.
▲
Inframon – Monitor Local Network Devices (e.g., GPU Usage on Apple Silicon)
(github.com/metaspartan)
2 points
carsenk
2 years ago
1 comment
689.
▲
Btop adds initial Intel GPU support
(github.com/aristocratos)
2 points
notorandit
2 years ago
1 comment
690.
▲
Show HN: AI Infra for non-Nvidia GPUs
(github.com/felafax)
2 points
shadowfax92
2 years ago
1 comment
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