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Kimi K2

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A Tom’s Hardware report highlights a local “Kimi K2.5” setup that ran an ultra-large LLM using 768GB of inexpensive Intel Optane DIMM sticks on a single-GPU system, achieving about 4 tokens per second. The focus is on making very large models workable with local hardware by leaning on Optane memory capacity.

ContextTom's HardwareView all sources →
Limited signal. This briefing is built from 1 source — treat the summary as preliminary, not a comprehensive newsroom report.

Also known as kimi·kimi 2.6·kimi k2.6·kimi k2.6 agent·kimi k2.6 agent swarm

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Key Takeaway You can run a ~1-trillion-parameter LLM locally on a single GPU using 768GB of Intel Optane DIMM memory, but expect around 4 tokens per second.
AI summary · grounded in cited sources
SourcesTom's HardwareView all sources →
local LLM setup Intel Optane DIMMs single-GPU performance kimi kimi 2.6
Positive 72/100
Themes
Intel Optane DIMMssingle-GPU performance
+1 adjacent themes
local LLM setup
AI Brief

You can run a ~1-trillion-parameter LLM locally on a single GPU using 768GB of Intel Optane DIMM memory, but expect around 4 tokens per second.

A Tom’s Hardware report highlights a local “Kimi K2.5” setup that ran an ultra-large LLM using 768GB of inexpensive Intel Optane DIMM sticks on a single-GPU system, achieving about 4 tokens per second. The focus is on making very large models workable with local hardware by leaning on Optane memory capacity.

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Live Wire

Top 1 signals · You can run a ~1-trillion-parameter LLM locally
Tom's Hardware · 17h ago
768GB of cheap Intel Optane DIMM memory sticks used to run 1-trillion-parameter LLM on a system with a single GPU — local Kimi K2.5 install achieved roughly 4 tokens per second

Briefing Findings · You can run a ~1-trillion-parameter LLM locally

Story-specific findings extracted from this briefing's coverage. Fast Facts in the sidebar holds the canonical reference data (CEO, founded, ticker).

Model size about 1-trillion parameters
System GPU count single GPU
Memory capacity 768GB Intel Optane DIMM
Throughput ~4 tokens per second

What to Watch

  • Look for follow-up writeups that benchmark different Optane capacities or GPU models for Kimi K2.5. Tom's Hardware
  • Watch Tom’s Hardware for additional local-LLM build logs using Intel Optane DIMMs. Tom's Hardware

What Changed

  • 768GB of cheap Intel Optane DIMM memory sticks used to run 1-trillion-parameter LLM on a system with a single GPU — local Kimi K2.5 install achieved roughly 4 tokens per second Tom's Hardware
Source-backed brief 1 article across 1 publication · brief is source backed Show all sources
Tom's Hardware · 1 article

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Kimi K2.5 demo on build.nvidia.com NVIDIA Developer
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