pplx-embed-v2-late-9b
enthusiast
Late interaction goes local. Perplexity’s pplx-embed-v2-late-9b (October 7, 2026, MIT) is an 8.39B late-interaction embedding model on the Qwen3.5 backbone: 32 layers, 4 KV heads x 256 head-dim, a 262,144-token context. Late-interaction retrieval keeps one vector per token instead of pooling into one vector, which buys recall on long documents at the cost of storing more vectors; the 9B size makes the trade affordable on a workstation rather than a cluster.
The MIT license does the differentiating. The v2 line’s smaller sibling (0.6B) covers the low end; against this site’s current local-RAG default, EmbeddingGemma 2 at 744M, the 9B late-interaction build is the upgrade path for retrieval stacks with money for an A100-class card or a 24GB unit at 16.8GB fp16. 467 downloads in the first days: early, but the license means no friction when the retrieval-benchmark posts arrive.
embeddings
retrieval
rag
- Parameters
-
8.4B
- Context
- 262k
- License
- mit
- Origin
-
🇺🇸
USA
- Released
- Oct 2026
Run it locally
Per-quant memory needs and a static "can you run it?" reference - no rig entry required
FP16
16.8GB
17.0GB min
24.0GB rec
Full quality, largest
The reference hardware
22 reference configs, drawn in-house. Scroll for more.
Can you run it? - reference rigs
| Rig |
FP16 |
| NVIDIA Jetson Orin NX 16GB |
no -> cloud
|
| Single GTX 1080 Ti (11GB) |
offload
|
| 4x H100 80GB (320GB) |
fast 425.7t/s
|
| NVIDIA DGX Station 748GB |
fast 254.2t/s
|
| 8x RTX 3090 rack (192GB) |
fast 237.9t/s
|
| 4x RTX 5090 (128GB) |
fast 227.7t/s
|
| AMD Instinct MI300X (192GB) |
fast 169.2t/s
|
| 4x RTX 4090 (96GB) |
fast 128.1t/s
|
| 2x RTX 5090 (64GB) |
fast 113.9t/s
|
| 2x RTX 3090 (48GB) |
fast 59.5t/s
|
| Single RTX 5090 (32GB) |
fast 56.9t/s
|
| RTX PRO 6000 Blackwell (96GB) |
fast 56.9t/s
|
| Mac Studio M4 Ultra 192GB |
fast 37.9t/s
|
| Mac Studio M4 Ultra 512GB |
fast 37.9t/s
|
| Single RTX 4090 (24GB) |
fast 32.0t/s
|
| MacBook Pro M5 Max 128GB |
fast 21.3t/s
|
| Dual EPYC 9004 + 768GB DDR5-4800 |
ok 14.6t/s
|
| DGX Spark 128GB unified |
ok 8.7t/s
|
| Ryzen AI Max+ 395 128GB |
ok 8.1t/s
|
| Jetson AGX Orin 64GB |
slow 6.5t/s
|
| Epyc + 512GB DDR4-3200 + 2x RTX 3090 |
slow 6.5t/s
|
| Epyc + 512GB DDR4-2400 + 2x RTX 3090 |
slow 4.9t/s
|
Fit tiers use the same will-it-run logic as the rig finder. For comfortable fits, the badge reflects decode speed: fast >=20 t/s, ok 8-20 t/s, slow <8 t/s. t/s is a bandwidth estimate, not a measured benchmark.
PRICE HISTORY
Inference cost over time
Data accumulates from the first daily sync - longer ranges populate over time. Prices come from OpenRouter snapshots, not a historical API.
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