Blog

20 hours ago

How to Run Your Own Local LLM — 2026 Edition — Version 1

In 2026, four Nvidia DGX Spark units (~$19K) give you 512 GB of unified AI memory and ~4 petaflops — enough to run any open-weight frontier LLM on your desk. This article ranks the ten best-performing models (DeepSeek V3.2, Qwen 3.5 family, MiniMax M2.5, GLM-5, Kimi-K2.5, MiMo-V2-Flash, GPT-OSS-120B, Mixtral 8x22B) that fit this hardware when quantised, evaluates each across benchmarks, memory footprint, and real-world suitability, and recommends a ~$36K total setup — including a Lenovo ThinkStation PX command centre — that pays for itself within months versus cloud API costs.

Source: HackerNoon →


Share

BTCBTC
$69,012.00
2.91%
ETHETH
$2,031.83
3.89%
USDTUSDT
$1.00
0.01%
BNBBNB
$638.39
3.41%
XRPXRP
$1.37
1.4%
USDCUSDC
$1.000
0%
SOLSOL
$85.86
4.36%
TRXTRX
$0.286
1.44%
FIGR_HELOCFIGR_HELOC
$1.04
0.72%
DOGEDOGE
$0.0912
2.12%
WBTWBT
$55.07
2.27%
USDSUSDS
$1.00
0.01%
ADAADA
$0.259
2.46%
BCHBCH
$450.27
0.73%
LEOLEO
$9.10
0.61%
HYPEHYPE
$34.13
10.82%
LINKLINK
$9.02
4.55%
XMRXMR
$344.86
1.14%
USDEUSDE
$1.000
0.03%
CCCC
$0.145
4.11%