RTX PRO 6000 GPU rental. 96GB VRAM, from $1.89/GPU-hour, per-second billing. $1 free credit.
ecohash.com/gpu/rtx-pro-6000…
Rent an RTX PRO 6000. 96GB VRAM, from $1.89/GPU-hour. $1 free credit.
ecohash.com/gpu/rtx-pro-6000…
Qwen3.8-27B on one RTX PRO 6000:
1 request: 26.1 output tok/s; 162 ms to first token.
8 concurrent: 179.2 aggregate tok/s; 1.24 s to first token.
Both latencies are P50. Higher throughput comes with a longer wait.
Test conditions + results below.
Launch an 8-GPU RTX PRO 6000 instance on EcoHash.
8 x 96 GB VRAM and a whole node for your workload. Watch the console walkthrough with narration: containers, SSH, HTTP access, and persistent storage.
Full guide: ecohash.com/blog/launch-eigh…
1.7B parameters. 3.28% WER. 360x real-time.
Qwen3-ASR-1.7B is the smallest of the three speech-to-text models we serve, and it beats the other two on both accuracy and throughput. Measured end-to-end on EcoHash (RTX Pro 6000).
Same endpoint, $0.05 per 1M input tokens.
We ran Qwen-Image-2.1 on a single RTX PRO 6000: 15 fixed-seed prompts, no reruns.
~1 MP: 9.4 s/image, 36.8 GiB peak VRAM
Native 2048²: 52 s, 56.5 GiB
BF16, no quantization or offload
Independent, non-commercial technical evaluation. Method + data:
ecohash.com/blog/qwen-image-…
we just published Qwen-Image-2.1 on RTX PRO 6000: 15-Image Quality and Performance Test medium.com/@ecohash/qwen-ima…
15/15 — Prompt
一张高级中文平面设计海报,深靛蓝到黑色的渐变背景,中央清晰排版四个大字“山海之间”,下方一行较小的文字“寻找城市之外的风景”,现代无衬线字体,精确可读,留白克制,纸张微纹理,画廊级灯光,高端编辑设计,无品牌标志。
14/15 — Prompt
Realistic street-level photo of a minimalist bookstore at blue hour. The illuminated sign reads exactly “微光书店” and “GLOW BOOKS.” Crisp bilingual text, warm shelves visible through glass, softly blurred pedestrians, no other text or logos.







