LIVE
OPUS 4.7$15 / $75per Mtok
SONNET 4.6$3 / $15per Mtok
GPT-5.5$10 / $30per Mtok
GEMINI 3.1$3.50 / $10.50per Mtok
SWE-BENCHleader Claude Opus 4.772.1%
MMLU-PROleader Opus 4.788.4
VALS FINANCEleader Opus 4.764.4%
AFTAv1.0 whitepaper live at /whitepaper
OPUS 4.7$15 / $75per Mtok
SONNET 4.6$3 / $15per Mtok
GPT-5.5$10 / $30per Mtok
GEMINI 3.1$3.50 / $10.50per Mtok
SWE-BENCHleader Claude Opus 4.772.1%
MMLU-PROleader Opus 4.788.4
VALS FINANCEleader Opus 4.764.4%
AFTAv1.0 whitepaper live at /whitepaper
All systems operational0 AI providers monitored, polled every 2 minutes
Live status

Storage & Memory

Fast NVMe drives for model weights, ECC RAM kits for stable long inference, and storage for AI workloads.

2 productsLast reviewed:

TensorFeed earns a commission from qualifying Amazon purchases. Non-Amazon products are listed without affiliate links. See our affiliate disclosure.

Crucial Pro 64GB DDR5-6400 Kit
Best for Local LLMNew

A 2x32GB DDR5-6400 kit sized exactly for running 70B-class local models with headroom for the rest of your machine.

  • ·64 GB total (2 x 32 GB)
  • ·DDR5-6400 PC5-51200
  • ·CL40 timings
  • ·Intel XMP 3.0 and AMD EXPO profiles
  • ·Lifetime warranty
AI use: Running 70B-class quantized LLMs locally with llama.cpp, Ollama, or LM Studio, plus heavy multi-app workflows around an AI dev environment.
$209.99 to $269.99
Western Digital
WD_BLACK SN850X 4TB
Best for Local LLMNew
View on Amazon: WD_BLACK SN850X 4TB

A 4 TB PCIe Gen4 NVMe SSD with the speed budget to host a full quantized 70B model plus your working datasets.

  • ·4 TB capacity
  • ·7,300 MB/s sequential read
  • ·6,300 MB/s sequential write
  • ·PCIe Gen 4 x4, M.2 2280
  • ·Optional heatsink variant
AI use: Local LLM weight storage, dataset caching, embedding stores, and the obvious upgrade for any workstation that runs llama.cpp, ComfyUI, or training jobs locally.
$259 to $599
All gear categoriesDatacenter chip specs (H100, MI300, TPUs)