Topic
HARDWARE
All blog posts, tools, and guides about Hardware from Developers Digest.
7 resources - 5 posts, 2 tools
Blog Posts
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How much VRAM do you need to run a local LLM in 2026?
How much VRAM a local LLM needs: Q4 weights are about 30% of BF16, plus a KV cache that grows per token. Real numbers from 8 GB to 256 GB.
13 min read
Local LLM Speed by Hardware: What llmspeed Gets Right
llmspeed estimates tokens per second for 30 machines and 15 models. What its numbers mean, the memory-bandwidth rule behind them, and why prefill matters for coding agents.
7 min read
RTX Spark for Local LLMs: Will It Run a Coding Agent?
RTX Spark laptops ship October 16 with up to 128 GB of unified memory. Why the 600 GB/s figure is not memory bandwidth and which local coding models fit.
8 min read
Flipper Zero Shifts to Community-Driven Development
Flipper Zero firmware reaches stable 1.0 and moves to a community contribution model. What changes for contributors and how HN sees official vs custom firmware.
5 min read
Jamesob's Guide to Running SOTA LLMs Locally: The Hardware and Config That Actually Works
jamesob's local LLM guide: the $2k and $40k hardware paths, the BIOS and kernel settings that matter, and why multi-GPU setups fail at PCIe and IOMMU.
9 min read
Related Tools
All tools →Groq
LPU-powered inference at about 500 to 1,000 tokens/sec on GPT OSS models. Purpose-built chip with on-chip SRAM instead of HBM. OpenAI-compatible API. Free tier available.
InfrastructureCerebras
Wafer-scale AI inference at 3,000+ tokens/sec. The WSE-3 chip has 4 trillion transistors and 900K AI cores. 20x faster than GPU providers. OpenAI partnership for inference.
InfrastructureKeep exploring
More on Hardware
- - Groq - recommended Hardware tool from the Developers Digest directory
- - Tools Directory - dive deeper across the Developers Digest knowledge base
- - All Hardware articles in the blog archive
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