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Warp

Run DeepSeek v4.1 Flash with 5 GB of RAM at 3.77 tok/s

Details

External ID
49714036
Source
HN
Company
—
Product
Warp
Website domain
github.com
Launched
Sept. 15, 2026
Cohort
—
Upvotes
13
Upvotes percentile
0.6555023923444976
Tags
—
Fetched at
Sept. 19, 2026, 5:01 p.m.
Updated at
Sept. 19, 2026, 5:01 p.m.

Enrichment

Theme
DeepSeek model deployment and inference
Vertical
Horizontal
Function
Model & infra
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
local llm inference engine for low-ram devices
Manually corrected
False

Could you build this?

No Running DeepSeek v4.1 (a massive mixture-of-experts model) within 5 GB of RAM at several tokens per second requires state-of-the-art quantization, CPU/disk offloading, and low-level kernel optimizations.

What it would actually take: Requires novel sparse activation loading, speculative decoding, 1-bit or 2-bit quantization kernels (like BitNet/QuIP#), and custom SIMD/Metal/CUDA memory-mapped I/O pipelines. Deep systems expertise in GPU/CPU memory bandwidth architectures and low-bit quantized matrix multiplication is essential.

Discussion

3 comments analyzed.

Competitors mentioned: cloud APIs

Concerns raised: inference speed too slow, unclear practical use cases

Competitors

Other products that read as similar to this one — 397 launches clear the similarity bar, closest 8 shown.

Attention rank: #149 of 398 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 312 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a model & infra tool for Fintech yet.