@MassedCompute

On-demand NVIDIA cloud GPUs billed by the hour. No contracts, no caps. Deploy AI in minutes.

massedcompute.com/
Joined August 2024
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1024 ran fine on 48 GB cards. 2048 ran out of memory. Qwen-Image-2.1 in BF16 used about 39 GiB at 1024. Blackwell finished 2048 in 51 seconds. massedcompute.com/which-gpu-…
Massed Compute chart for Qwen-Image-2.1 at 1024 by 1024. Headline reads The cheaper hour made the pricier image. RTX A6000 at $0.57 an hour takes 29.5 seconds for $0.0047 per image. L40S at $0.97 an hour takes 16.5 seconds for $0.0045 per image, the lowest cost. RTX PRO 6000 Blackwell at $2.19 an hour takes 9.3 seconds for $0.0056 per image. 2048 by 2048 needs more than 48 GB, and Blackwell finished it in 51 seconds.

ALT Massed Compute chart for Qwen-Image-2.1 at 1024 by 1024. Headline reads The cheaper hour made the pricier image. RTX A6000 at $0.57 an hour takes 29.5 seconds for $0.0047 per image. L40S at $0.97 an hour takes 16.5 seconds for $0.0045 per image, the lowest cost. RTX PRO 6000 Blackwell at $2.19 an hour takes 9.3 seconds for $0.0056 per image. 2048 by 2048 needs more than 48 GB, and Blackwell finished it in 51 seconds.

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How are companies getting their hands on NVIDIA GPUs right now? @CNBC’s recent article looks at the options, and Massed Compute is mentioned: cnbc.com/2026/10/10/nvidia-g…

Nvidia GPUs are everywhere. Here are the ways companies are accessing them

One industry researcher identified over 300 neoclouds that can provide GPU capacity, up about 55% in less than a year.

cnbc.com
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Cost per clip matters most when the video queue runs overnight. MiniMax-H3 Turbo on an A6000 made 5 second 768p clips for $0.026 each. Save Blackwell for the clip you are watching. massedcompute.com/spark-x2-5…

You do not need Blackwell unless you are paying to wait less - Massed Compute

A6000 wins dollars for Spark-X2.5-4B packed serving and MiniMax-H3 Turbo clips. Blackwell is the speed card. L40S is the skip.

massedcompute.com
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Ten agent hops, 2.7 seconds spent waiting on first token. MiniCPM5-2B on Blackwell cuts that to 0.62 seconds. For a packed chat API, an A6000 serves it at $0.060 per million output tokens. massedcompute.com/minicpm5-2…

MiniCPM5-2B GPU Guide: Chat APIs, Coding Agents, and Which Card to Rent - Massed Compute

OpenBMB MiniCPM5-2B is a 2.5B local-assistant and coding-agent model. On Massed Compute, A6000 wins packed-serve dollars. Blackwell wins first token. L40S is the skip.

massedcompute.com
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Fake antivirus renewal pages steal card details every day. Malwarebytes trains machine learning on their visual patterns, code, and behavior so new scam sites get flagged soon after they go live. massedcompute.com
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45 ms per label on an A6000. 14.3 ms on an L40S. For a Laya ticket router, the L40S also leads on decisions per dollar. Keep the A6000 for Ternary Bonsai 2 chat, where it wins on tokens per dollar. massedcompute.com/ternary-bo…
Massed Compute chart titled The best value card changes with the job. For Ternary Bonsai 2 27B, output tokens per dollar are 117.1 on RTX A6000 at $0.57 an hour, the best value, 77.4 on L40S at $0.97 an hour, and 57.0 on RTX PRO 6000 Blackwell at $2.19 an hour, with speeds of 66.7, 75.1, and 124.8 tokens per second. For Laya, decisions per dollar are 39.0 on A6000, 72.2 on L40S, the best value, and 44.7 on Blackwell, with waits of 45.0, 14.3, and 10.2 ms per label. Blackwell is fastest on both.

ALT Massed Compute chart titled The best value card changes with the job. For Ternary Bonsai 2 27B, output tokens per dollar are 117.1 on RTX A6000 at $0.57 an hour, the best value, 77.4 on L40S at $0.97 an hour, and 57.0 on RTX PRO 6000 Blackwell at $2.19 an hour, with speeds of 66.7, 75.1, and 124.8 tokens per second. For Laya, decisions per dollar are 39.0 on A6000, 72.2 on L40S, the best value, and 44.7 on Blackwell, with waits of 45.0, 14.3, and 10.2 ms per label. Blackwell is fastest on both.

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We had a great SF Tech Week last week focused on infra and physical AI! 🤖 Thanks to all who joined our 2 panels at #NeoCloudSummit and later attended our co-hosted Deep Tech Nexus event with Omni Ventures and HPE! Need high-performance GPUs? Let’s talk: massedcompute.com/contact/
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Benchmark before you buy. In our webinar with @Lightedge and @Dell, one client set on H100s tested first and saved millions on NVIDIA RTX instead. Start with the use case. massedcompute.com/what-does-…

What Does It Really Take to Scale Enterprise AI? - Massed Compute

Taking an AI project from concept to production is notoriously difficult. Most enterprise teams hit a wall along the way, either watching costs spiral out of control, wading through unexpected...

massedcompute.com
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Clef made a decision in 168 ms on a single RTX PRO 6000 Blackwell with Transformers, about 6 decisions per second. The numbers are live and public. Launch your own GPU on Massed Compute and try it today. github.com/Massed-Compute/gp…
Massed Compute benchmark card for Clef on an RTX PRO 6000 Blackwell showing 168.1 ms median latency and 5.949 decisions per second.

ALT Massed Compute benchmark card for Clef on an RTX PRO 6000 Blackwell showing 168.1 ms median latency and 5.949 decisions per second.

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JEV-27B-VL made 52 decisions per second at 8 concurrent requests on a single RTX PRO 6000 Blackwell with vLLM, with a 58 ms median reply. The numbers are live and public. Launch your own GPU on Massed Compute and try it today. github.com/Massed-Compute/gp…
Massed Compute benchmark card for JEV-27B-VL on an RTX PRO 6000 Blackwell with vLLM showing decisions per second and median latency.

ALT Massed Compute benchmark card for JEV-27B-VL on an RTX PRO 6000 Blackwell with vLLM showing decisions per second and median latency.

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Last chance to register! We're excited to welcome you to Deep Tech Nexus this evening in SF, featuring panels on physical AI and the future of data centers. Doors open at 5:00 PM. RSVP now: partiful.com/e/lhB6B97E91kJd…

Deep Tech Nexus #SFTechWeek | Partiful

Omni Ventures' annual Deep Tech Nexus is back for SF Tech Week, and this time it gets Physical (AI): Models meet the real world: robots moving freight, world models that learn physics, and the power,...

partiful.com
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Kolibri-1 hit 2,580 output tokens per second at 32 concurrent requests on a single H200 NVL with vLLM. The numbers are live and public. Launch your own GPU on Massed Compute and run it today. github.com/Massed-Compute/gp…
Massed Compute benchmark card for Kolibri-1 on an H200 NVL with vLLM showing 2580.3 output tokens per second at 32 concurrent requests.

ALT Massed Compute benchmark card for Kolibri-1 on an H200 NVL with vLLM showing 2580.3 output tokens per second at 32 concurrent requests.

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One prompt, one L40S, six open models in the order they arrived. Disco Diffusion, DALL-E Mini, Stable Diffusion 1.5, Fooocus, Flux, and LTX-2.5 video. Same burning ships every time. massedcompute.com/how-far-ge…

How Far Generative AI Has Come - Massed Compute

Same burning-ships prompt from Disco Diffusion to Flux and LTX-2.5, images and clips, all on one rented GPU.

massedcompute.com
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You rent Blackwell for a 3B vision model and pay 3.8x the hourly for 2.1x the tokens. LFM2.5-VL-3B ran 2593 tok/s on an A6000 at $0.57 an hour, the best tokens per dollar of three cards. massedcompute.com/lfm2-5-vl-…

You do not need Blackwell for LFM2.5-VL-3B - Massed Compute

A6000 wins dollars per token for LiquidAI LFM2.5-VL-3B at $0.57/hr. L40S buys latency. Blackwell is speed, not value.

massedcompute.com
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SF Tech Week is massive this year, with hardware events tripling! If you only attend one #physicalAI event this week, make it "Deep Tech Nexus," co-hosted by Omni Ventures, HPE, and Massed Compute. 🗓️ Thursday, Oct 8 | 5:00 PM - 8:15 PM RSVP here: partiful.com/e/lhB6B97E91kJd…
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Storage and training are two separate promises. An AI vendor can keep your data secure and still learn from it. Get both in writing, or run open models on GPUs you control. massedcompute.com/how-to-pre…

How to Prevent Your Proprietary Data from Training Someone Else’s AI - Massed Compute

Every interaction with an artificial intelligence system can create value. Prompts reveal what users need. Corrections reveal where models are wrong. Uploaded documents provide specialized informat...

massedcompute.com
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Coding agents guess when they work on specialized infrastructure code. NVIDIA's new DOCA agent skills give them verified BlueField APIs and build constraints. Checklist pass rate went from 19 percent to 100 across 65 prompts. massedcompute.com
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After a great week at @AIconference, we're staying in SF for #SFTechWeek! Massed Compute is co-hosting Omni Ventures' annual "Deep Tech Nexus" with @HPE on Thurs, Oct. 8, including panels on GPUs, robots, and data centers in orbit. RSVP today: partiful.com/e/lhB6B97E91kJd…

Deep Tech Nexus #SFTechWeek | Partiful

Omni Ventures' annual Deep Tech Nexus is back for SF Tech Week, and this time it gets Physical (AI): Models meet the real world: robots moving freight, world models that learn physics, and the power,...

partiful.com
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NVIDIA's speech model hit 55 percent word error rate on Saudi Arabic dialects. Fine tuning on 134 hours of dialect audio, with replay to keep old skills, cut it to under 30. English improved too. Test on your own data. massedcompute.com
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NVIDIA built TensorRT Model Connect for coding agents from day one. Model family isolation, parallel agent work, reversible changes, and GPU backed validation, across 128 model families on GB300. Human judgment moves upstream into design. massedcompute.com
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