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aientity · one source so far

gemma4

for ml engineers, cloud architects

Steadydevto
Signal score
13
as of 9d ago
Live items
1
Trajectory
⏳ Too early
needs a few more snapshots

Why this scored 13

every term, weighted
Velocity+0.0 / 40

Its fastest-moving item, measured against the pace of its own source

Acceleration+12.5 / 25

Whether that velocity is itself speeding up, as a per-hour rate

Cross-source spread+0.0 / 25

How many independent communities its own items come from

Recency+0.0 / 10

Decays to zero over 14 days, counted from when we first saw it

Saturation penalty+0.0 / 30

Subtracted once something is big and old — sized by its biggest item, aged from when we first saw it

Composite12.5

Weights are hand-tuned, not learned — we're calibrating them against realized trends as history accumulates. On an entity's first sighting there's no previous reading to compare against, so acceleration starts from a neutral prior rather than a measurement, and velocity falls back to engagement over its whole lifetime until a second reading exists. Full methodology

Signal history

7-day window (free)
Not enough history yet — the trend line fills in as snapshots accrue (every 30 min).

The evidence

The live items this entity's score aggregates — every community independently talking about it right now. This is the corroboration, shown, not claimed.

  1. 1
    24

    Serving Gemma4 with Rust on vLLM 🦀

    Running Gemma4 on vLLM with Rust shows high-performance inference on AWS GPU instances. · for ML engineers

    devtoCooling 2 · vllmai27d ago
  2. 2
    22

    Three Gemma 4 Deployments on One T4G for Under $3: What the Runtime Changes, and What It Doesn't

    Shows cost-effective Gemma 4 inference on a single AWS T4g instance for ML workloads. · for ml engineers, cloud architects

    devtoSteadyai9d ago
  3. 3
    14

    Five Gemma-4 models, one accelerator: what porting E2B 31B to AWS Inferentia2 taught me

    gemma-4 models · for ai engineers

    devtoCooling 2 · awsai55d ago
  4. 4
    10

    Porting Gemma-4 12B (the encoder-free multimodal one) to AWS Inferentia2

    Gemma-4 ported to AWS · for ai researchers

    devtoSteadyai55d ago
  5. 5
    8

    Porting Gemma-4 (2B / 4B / 12B) to AWS Inferentia2

    Gemma-4 porting · for ai researchers

    devtoSteadyai59d ago
  6. 6
    7

    26B Gemma 4 QAT Deployment with GCE g2-standard, NVIDIA L4, MCP, and Antigravity CLI

    Gemma 4 deployment · for ai founders

    devtoSteadyai57d ago
  7. 7
    7

    Gemma4 DevOps In Action

    DevOps in action · for devops teams

    devtoSteadydevtools52d ago