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241.
▲
Show HN: Slurmq – GPU quota enforcement for Slurm
dedalus-labs.github.io
discuss
6 months ago
windsor
3 points
242.
▲
Security Layer 4.0 – First semantic firewall blocks malicious intent"
discuss
7 months ago
jaspertvdm
3 points
243.
▲
Show HN: CLI tool for discovering AMD compute resources from multiple providers
github.com/modelturnedgeek
discuss
a year ago
cjavelona
3 points
244.
▲
Show HN: Offloading GPU Workloads from Kubernetes to RunPod via Virtual Kubelet
github.com/BSVogler
discuss
a year ago
BSVogler
3 points
245.
▲
Show HN: Jax and Flax LLMs – Transformer Implementations Optimized for TPUs
github.com/dhyaneesh
discuss
a year ago
Dhyaneesh
3 points
246.
▲
Show HN: Lego Meets AI: BricksRL to train your own Lego robot
bricksrl.github.io
discuss
2 years ago
vmoens
3 points
247.
▲
Show HN: Turning a Live Video into Instant Purchases Using AI
live-stream-shopper.cerebrium.ai
discuss
2 years ago
za_mike157
3 points
248.
▲
Show HN: Turning a Live Video Stream into Real-Time Purchases With AI
live-stream-shopper.cerebrium.ai
discuss
2 years ago
AdamRomyn
3 points
249.
▲
Show HN: Made a batching LLM API for a project. Mistral 200 tk/s on RTX 3090
github.com/epolewski
discuss
2 years ago
muttled
3 points
250.
▲
Apple predicted the rise of local LLMs, hence the M2 Ultra
3 comments
3 years ago
behnamoh
2 points
251.
▲
Show HN: Trained a 12M transformer on an ML framework we built from scratch
github.com/mni-ml
2 comments
2 months ago
caliandbust
2 points
252.
▲
A 100% serverless RAG that extracts complex tables better than NotebookLM
1 comment
3 months ago
saurav-dev
2 points
253.
▲
Show HN: Switcheroo-control-rs, a Linux hybrid graphics manager in Rust
github.com/LuMarans30
discuss
9 days ago
LuMarans30
2 points
254.
▲
Show HN: Run production AI in your cloud in 5 mins
github.com/dagploy
discuss
12 days ago
yodi
2 points
255.
▲
Show HN: Glq LLM quantization using E8 lattice
github.com/cnygaard
discuss
21 days ago
acd
2 points
256.
▲
Show HN: MaximusLLM – Train 262k-vocab LLMs on a single 16GB GPU
github.com/yousef-rafat
discuss
3 months ago
yousef_g
2 points
257.
▲
Show HN: I built a unified inference layer for Document Processing Models
github.com/adithya-s-k
discuss
4 months ago
Adithya-Kolavi
2 points
258.
▲
Show HN: FT-Lab – Lightweight TinyLlama Fine-Tuning (Full FT / LoRA / QLoRA)
github.com/REICHIYAN
discuss
7 months ago
Sai-HN
2 points
259.
▲
Show HN: SimMS – GPU accelerated mass spectra search
github.com/PangeAI
discuss
a year ago
tornikeo
2 points
260.
▲
Show HN: node-mlx – Machine learning framework for Node.js
github.com/frost-beta
discuss
2 years ago
zcbenz
2 points
261.
▲
Show HN: Supamodel -- monitor ML training sessions on your iPhone
supamodel.ai
discuss
2 years ago
sarangzambare
2 points
262.
▲
Show HN: I built vector search for COSS podcasts & livestreams
tv.algora.io
discuss
2 years ago
zcesur
2 points
263.
▲
Show HN: SenseThing, sensor logging and remote monitoring for Linux
github.com/ryukoposting
discuss
2 years ago
ryukoposting
2 points
264.
▲
Show HN: Ditty – Simple Finetuning
github.com/iantbutler01
discuss
3 years ago
ianbutler
2 points
265.
▲
Show HN: Nos – Open-Source to Maximize GPU Utilization in Kubernetes
github.com/nebuly-ai
discuss
3 years ago
Telemaco019
2 points
266.
▲
Docker files for building ROS Kinetic with Nvidia GPU runtime support
discuss
8 years ago
edowson
2 points
267.
▲
Ask HN: Quantify OpenGL draw times with points rendering massive overdraw
discuss
10 years ago
datenwolf
2 points
268.
▲
Show HN: Skill capsules" for LLMs, a "poor man's continual learning"
github.com/killerstorm
3 comments
6 months ago
killerstorm
1 points
269.
▲
Ask HN: In October 2024, is it a good idea to get an RX 7900 XT for ML?
3 comments
2 years ago
HiPHInch
1 points
270.
▲
Show HN: Willitrun – check if any ML model runs on any device (benchmark-backed)
github.com/smoothyy3
2 comments
3 months ago
smoothyy
1 points
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