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Active: AI Infrastructure / query: GPU / page 1 of 1 / 5 total
AI Infrastructure

AirLLM 70B Runs on 4GB GPU: AI Breakthrough

AirLLM 70B inference with single 4GB GPU

Global · Developers · Jun 4, 2026
AI Infrastructure

Dataroom: Self-Hosted AI Research on Raspberry Pi and GPU

Dataroom: Self Hosted AI Research on Raspberry Pi and GPU Overview Dataroom is an innovative software solution designed for self hosted AI research, enabling us…

Global · Developers · Jun 2, 2026
AI Infrastructure

Gpubook: Revolutionizing GPU Compute Order Management

Gpubook: Revolutionizing GPU Compute Order Management Gpubook stands at the forefront of GPU compute management, offering an innovative solution to streamline a…

Global · Developers · May 19, 2026
AI Infrastructure

Track Real-Time GPU & LLM Pricing Across Cloud Providers

Deploybase is a dashboard for tracking real-time GPU and LLM pricing across cloud and inference providers. You can view performance stats and pricing history, compare side by side, and bookmark to track any changes. https://deploybase.ai

Global · Enterprises · Apr 30, 2026
AI Infrastructure

Arc Gate: AI Tool Achieves Perfect Safety Benchmarks

Benchmarked on 40 out-of-distribution prompts, indirect requests, roleplay framings, hypothetical scenarios, technical phrasings. The stuff that slips past everything else. Arc Gate: P=1.00, R=1.00, F1=1.00 OpenAI Moderation API: P=1.00, R=0.75, F1=0.86 LlamaGuard 3 8B: P=1.00, R=0.55, F1=0.71 Zero false positives. Zero misses. Blocked prompts average 329ms and never reach your model. Detection overhead is \~350ms on top of your normal upstream latency. Sits in front of any OpenAI-compatible endpoint. No GPU on your side. One env var to configure. GitHub: https://github.com/9hannahnine-jpg/arc-gate Live dashboard: https://web-production-6e47f.up.railway.app/dashboard Happy to answer questions.

Global · Developers · Apr 28, 2026
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