Laya makes a decision in 10.2 milliseconds on one RTX PRO 6000 Blackwell with Hugging Face Transformers. For value, the L40S leads at 72.2 decisions per dollar. The full numbers are live and public. Launch your own GPU on Massed Compute today. github.com/Massed-Compute/gp…
ALT Benchmark card showing Laya at 10.2 ms p50 latency and 98 decisions per second on an RTX PRO 6000 Blackwell with Hugging Face Transformers
Ternary Bonsai 2 27B hit 124.8 output tokens per second on a single RTX PRO 6000 Blackwell with llama.cpp. For value, the A6000 leads at 117.1 tokens per second per dollar. The full numbers are live and public. Launch your own GPU on Massed Compute today. github.com/Massed-Compute/gp…
ALT Terminal-style benchmark card showing Ternary Bonsai 2 27B at 124.8 output tokens per second on an RTX PRO 6000 Blackwell with llama.cpp
Your fine-tune fits on one 80GB card, so renting eight is money you do not need to spend.
A single H100 SXM5 launches in minutes at $2.89 an hour, billed by the hour.
massedcompute.com/nvidia-h10…
The fastest GPU came in last on value.
RTX PRO 6000 Blackwell ran 124.8 tok/s on Ternary Bonsai 2. Per dollar, the A6000 at $0.57 an hour led with 117.1 tok/s.
Gilbert rented all three at max settings. Match the card to the job instead.
massedcompute.com
Unknown dataset name: alpaca_cleaned
The Hugging Face id is not enough on its own. LLaMA-Factory needs it registered in data/dataset_info.json first.
After that, 60 QLoRA steps in 71.9 s on one L40.
massedcompute.com/fine-tune-…
Penn researchers built AI that suggests better CRISPR edits from just a few examples, where the usual approach needs massive datasets. That matters most for rare genetic conditions, where few patients means little data to learn from. massedcompute.com
Your 0.5B model is using 20 GB per card and none of it is weights.
vLLM's rollout engine reserves it. gpu_memory_utilization at 0.20 on an 80 GB A100 claims roughly 16 GB before training starts.
massedcompute.com/rl-post-tr…
MiniMax H3 Turbo made a 5 second 768p clip in 57 seconds on a single RTX PRO 6000 Blackwell with ComfyUI, 2.9x faster than an A6000. The full numbers are live and public. Launch your own GPU on Massed Compute and run it today. github.com/Massed-Compute/gp…
ALT Still frame from the MiniMax H3 Turbo 4 step 768p clip rendered on one RTX PRO 6000 Blackwell in about 57 seconds.
Our team had a fantastic time at AI Infra Summit last week, having great conversations with AI teams around bare metal performance and scaling AI infrastructure.
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Your 70B model will not fit on one 80GB card, and splitting it across slow links drags every step.
An 8x H100 SXM5 node puts 640GB of HBM3 on NVLink mesh at 900 GB/s. $25.12 an hour for the whole node.
massedcompute.com/nvidia-h10…
ALT Open GPU server chassis with heatsinks lit by orange NVLink tracing, headline reading 8x H100. Available now. 640GB.
LTX 2.5 Distilled made a 5 second 1536x1024 video with audio in 52.9 seconds on a single RTX PRO 6000 Blackwell, 1.77x faster than an L40S. The full numbers are live and public. Launch your own GPU on Massed Compute and run it today. github.com/Massed-Compute/gp…
ALT Still frame from the LTX 2.5 Distilled smoke clip rendered on one RTX PRO 6000 Blackwell in 52.9 seconds.
DeepSeek V4.1 Flash ran at 9.7 decode tokens per second on 8x RTX PRO 6000 Blackwell, more than twice the rate of 8x H100 SXM5 and at a lower hourly price. The full numbers are live and public. Launch your own GPU on Massed Compute and run it today. github.com/Massed-Compute/gp…
ALT Terminal style capture for DeepSeek V4.1 Flash on 8x RTX PRO 6000 Blackwell showing 9.7 decode tokens per second.
Oral cancer kills 13,000 Americans a year because it is caught late. Found early, five year survival goes from 50 percent to over 90. Rochester is building AI that reads routine dental images and flags it. massedcompute.com
Nex N2.5 mini just hit 1,226 output tokens per second at 32 concurrent requests on a single RTX PRO 6000 Blackwell with vLLM. The full numbers are live and public. Launch your own GPU on Massed Compute and run it today. github.com/Massed-Compute/gp…
ALT Terminal style vLLM benchmark chart for Nex N2.5 mini on one RTX PRO 6000 Blackwell showing 1226.4 output tokens per second at 32 concurrent requests.
Every zebra has a stripe pattern as distinct as a fingerprint. University of Toronto researchers use computer vision to identify individual animals from camera trap photos, over 40,000 zebras so far. Months of manual work now takes hours. massedcompute.com
Spark X2.5 4B just hit 3,423 output tokens per second at 32 concurrent requests on a single RTX PRO 6000 Blackwell with vLLM. The full numbers are live and public. Launch your own GPU on Massed Compute and run it today. github.com/Massed-Compute/gp…
ALT Terminal style vLLM benchmark chart for Spark X2.5 4B on one RTX PRO 6000 Blackwell showing 3422.9 output tokens per second at 32 concurrent requests.
Your loss drops to 0 after step one and grad_norm reads NaN.
Default SDPA attention plus Axolotl's automatic LoRA kernels, on torch 2.12.
Set attn_implementation to eager and turn the kernels off. That is the config that trained.
massedcompute.com/fine-tune-…
MiniCPM5 2B just hit 5,783 output tokens per second at 32 concurrent requests on a single RTX PRO 6000 Blackwell with vLLM. The full numbers are live and public. Launch your own GPU on Massed Compute and run it today. github.com/Massed-Compute/gp…
ALT Terminal style vLLM benchmark chart for MiniCPM5 2B on one RTX PRO 6000 Blackwell showing 5783.4 output tokens per second at 32 concurrent requests.
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