Aleph Alpha

4 published articles

Deep Dive

Aleph Alpha builds theoretical inference model for DeepSeek: Deriving performance from hardware primitives

Aleph Alpha created a theoretical inference model for DeepSeek v3 to estimate throughput from hardware parameters, analyzing trade-offs across GPU setups to help practitioners optimize performance and cost for large MoE models.

2026-07-05

DeepSeek2 min read

LLM Inference Optimization

Aleph Alpha builds a theoretical inference model to decode DeepSeek V3 performance from hardware primitives

Aleph Alpha's theoretical model predicts DeepSeek V3 inference performance from hardware parameters alone, revealing how GPU count and interconnect bandwidth shift the bottleneck between compute, memory, and communication.

2026-07-04

AI2 min read

Aleph Alpha commentary

The case against enshittification: why specialized, sovereign ai beats generic pilots every time

Aleph Alpha warns that generic AI pilots are undermining enterprise trust through a pattern of overpromise and underdeliver, a phenomenon dubbed 'enshittification.' The company advocates for sovereign, domain-specific AI agents built through close customer co-creation.

2026-07-03

LLMs & Models2 min read

Tokenizer-Free Architecture

Aleph Alpha unveils T-Free: a tokenizer-free architecture for sovereign AI

Aleph Alpha unveils T-Free, a tokenizer-free LLM architecture that maps words directly to vectors. The approach delivers nearly seven characters per vector versus the typical four, cutting costs and energy use while improving performance on specialized domains and low-resource languages.

2026-07-03