Please add New hardware the AMD ai pro R9700 "My GPU"
Please add “AMD Radeon AI PRO R9700” to “My Hardware” Specs: GPU Memory: Volume Memory - 32GB Memory Type - GDDR6 AMD Infinity Push Technology - 64 MB Memory Interface - 256-bit Max Memory Letters - 640 GB/s GPU: AMD RDNA™ 4 Execution Accelerators - 64 Against AI Accelerators - 128 Streams - Processors 4096 Compute Units - 64 Boost Ads - Up to 2920MHz Gameplay - 2350MHz Max Charged Speed - Up to 373.76 GP/s Max Single Precision (FP32 Vector) Performance - 47.8 TFLOPs Max Half Precision (FP16 Vector) Performance - 95.7 TFLOPs Max Half Precision (FP16 Matrix) Performance - 191 TFLOPs Gain Structural Spurtity Max Half-Precision (FP16 Matrix) Performance - 383 TFLOPs Max 8-Bit Performance (FP8 Matrix) (E5M2, E4M3) - 383 TFLOPs 8-Bit Performance (FP8 Matrix) with Structured Spursity (E5M2, E4
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XYRONIX
🌌 X Y R O N I X // NEURAL CONCEPTUALIZATION MATRIX // v1.0.0 // "Pure, decentralized creation space. Infinite boundaries. Zero latency." XYRONIX is a high-performance, infinite-plane rendering engine designed for rapid ideation, tactical diagramming, and free-form vector sketching. Operating entirely within the computational bounds of your browser, XYRONIX provides a secure, lightweight environment to map out your digital universe without relying on external server telemetry. 🚀 LIVE DEPLOYMENT: ESTABLISH UPLINK XYRONIX requires zero installation, zero server configurations, and zero package managers. It is hosted directly on the global grid via GitHub Pages. 🔗 Access the XYRONIX Interface Here THE UI To Engage Systems: Initialize: Click the uplink above to open the matrix in your prefer
Voice-to-Schema: Turning "Track My Invoices" Into a Real Table
We rebuilt our NLP pipeline three times before it actually worked. Here's what went wrong each time and what we learned about the gap between what people say and what they mean. The Problem Nobody Talks About When we started building VoiceTables , we had a simple hypothesis: let people describe what they need, and generate a structured table from that description. User says "I need to track my invoices," system creates an invoices table with sensible columns. Easy, right? Turns out spoken language and structured data are almost completely different things. The first version took about two weeks to build and maybe 20 minutes to realize it was broken. Attempt 1: Naive Prompt Engineering The first pipeline was embarrassingly simple. Take the transcript, send it to an LLM with a system prompt
Active Job and Background Processing for AI Features in Rails
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I Built a GitHub-Style Contribution Calendar That Shows When My AI Works Without Me
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Newegg shaves $240 off this well-equipped RTX 5070, 7800X3D gaming PC — at $1,929, this CyberpowerPC is at least $100 less than the current cost of its components
Newegg shaves $240 off this well-equipped RTX 5070, 7800X3D gaming PC — at $1,929, this CyberpowerPC is at least $100 less than the current cost of its components
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