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    <title>1Legion engineering notes</title>
    <link>https://1legion.com/blog/</link>
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    <description>Notes from 1Legion on NVIDIA GPU servers, clusters and data centers.</description>
    <language>en-us</language>
    <item>
      <title>70GB of weights, four GPUs: what’s left for the KV cache at 80, 96, 141 and 270GB</title>
      <link>https://1legion.com/blog/70gb-of-weights-four-gpus-whats-left-for-the-kv-cache-at-80-96-141-and-288gb/</link>
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      <pubDate>Tue, 20 Oct 2026 00:00:00 GMT</pubDate>
      <category>GPUs</category>
      <description>Load a 70B model in FP8 on 80, 96, 141 and 270GB GPUs and see how much memory each leaves for the KV cache, with the sizing arithmetic worked out.</description>
    </item>
    <item>
      <title>8 x 270GB: what fits on a B300 node</title>
      <link>https://1legion.com/blog/8-x-288gb-what-fits-on-a-b300-node/</link>
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      <pubDate>Tue, 13 Oct 2026 00:00:00 GMT</pubDate>
      <category>GPUs</category>
      <description>What fits on an NVIDIA B300 node: 270GB memory math for 405B and 70B model inference, KV cache sizing, bandwidth ceilings, and where a single GPU stops.</description>
    </item>
    <item>
      <title>8 x 96GB: what fits on an RTX PRO 6000 Blackwell node</title>
      <link>https://1legion.com/blog/8-x-96gb-what-fits-on-an-rtx-pro-6000-blackwell-node/</link>
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      <pubDate>Tue, 06 Oct 2026 00:00:00 GMT</pubDate>
      <category>GPUs</category>
      <description>What fits on an RTX PRO 6000 Blackwell node: the 96GB memory math for 70B model inference and QLoRA fine tuning, KV cache sizing, and where the limit sits.</description>
    </item>
    <item>
      <title>Foundation model training bottlenecks: memory bandwidth, not GPU count</title>
      <link>https://1legion.com/blog/foundation-model-training-bottlenecks-memory-bandwidth-not-gpu-count/</link>
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      <pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate>
      <category>Infrastructure</category>
      <description>Foundation model training throughput depends on GPU memory capacity, memory bandwidth and interconnect, not GPU count. Here is the data behind that claim.</description>
    </item>
    <item>
      <title>What's driving RTX PRO 6000 Blackwell prices higher in 2026</title>
      <link>https://1legion.com/blog/whats-driving-rtx-pro-6000-blackwell-prices-higher-in-2026/</link>
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      <pubDate>Wed, 16 Sep 2026 00:00:00 GMT</pubDate>
      <category>GPUs</category>
      <description>Why the RTX PRO 6000 Blackwell costs more to buy in 2026, how the GDDR7 memory shortage drives it, and what it means for buy versus rent decisions.</description>
    </item>
    <item>
      <title>Why Series A AI companies are moving off AWS GPU before they have to</title>
      <link>https://1legion.com/blog/why-series-a-ai-companies-are-moving-off-aws-gpu-before-they-have-to/</link>
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      <pubDate>Wed, 09 Sep 2026 00:00:00 GMT</pubDate>
      <category>Infrastructure</category>
      <description>Why Series A AI companies move off AWS GPU before a forcing function decides for them: price spreads, quota walls, no renewal checkpoint and runway math.</description>
    </item>
    <item>
      <title>B300 vs. H200: how to decide which node your workload actually needs</title>
      <link>https://1legion.com/blog/b300-vs-h200-how-to-decide-which-node-your-workload-actually-needs/</link>
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      <pubDate>Wed, 02 Sep 2026 00:00:00 GMT</pubDate>
      <category>GPUs</category>
      <description>B300 vs H200: a technical decision framework for dedicated bare metal GPU nodes, covering memory capacity, FP4 throughput, power, cooling and workload fit.</description>
    </item>
    <item>
      <title>What a 36 to 60 month bare metal contract actually looks like, and why it changes how you plan</title>
      <link>https://1legion.com/blog/what-a-36-to-60-month-bare-metal-contract-actually-looks-like-and-why-it-changes-how-you-plan/</link>
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      <pubDate>Tue, 25 Aug 2026 00:00:00 GMT</pubDate>
      <category>Infrastructure</category>
      <description>What a 36 to 60 month bare metal GPU contract locks in, what stays flexible, and how it changes capacity planning and budget predictability for AI teams.</description>
    </item>
    <item>
      <title>10 questions that reveal the real cost of your cloud GPU setup</title>
      <link>https://1legion.com/blog/10-questions-that-reveal-the-real-cost-of-your-cloud-gpu-setup/</link>
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      <pubDate>Wed, 19 Aug 2026 00:00:00 GMT</pubDate>
      <category>Guides</category>
      <description>Ten questions to run against your cloud GPU bills, covering utilization, egress, overruns, storage sprawl, support fees and what you really pay per job.</description>
    </item>
    <item>
      <title>B300 for AI model labs: what sustained training looks like on dedicated bare metal</title>
      <link>https://1legion.com/blog/b300-for-ai-model-labs-what-sustained-training-looks-like-on-dedicated-bare-metal/</link>
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      <pubDate>Wed, 12 Aug 2026 00:00:00 GMT</pubDate>
      <category>GPUs</category>
      <description>What sustained pretraining needs from infrastructure, what dedicated NVIDIA B300 bare metal delivers for AI model labs, and how to configure clusters for it.</description>
    </item>
    <item>
      <title>Why long-duration training runs fail on shared cloud, and what to do about it</title>
      <link>https://1legion.com/blog/why-long-duration-training-runs-fail-on-shared-cloud-and-what-to-do-about-it/</link>
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      <pubDate>Wed, 05 Aug 2026 00:00:00 GMT</pubDate>
      <category>Infrastructure</category>
      <description>Preemption, noisy neighbors, storage contention and checkpoint egress are built into shared cloud. What long training runs face, and what bare metal fixes.</description>
    </item>
    <item>
      <title>10 questions to ask your GPU infrastructure provider before you sign anything</title>
      <link>https://1legion.com/blog/10-questions-to-ask-your-gpu-infrastructure-provider-before-you-sign-anything/</link>
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      <pubDate>Wed, 29 Jul 2026 00:00:00 GMT</pubDate>
      <category>Guides</category>
      <description>Ten questions to ask a GPU infrastructure provider before you sign: tenancy, performance guarantees, egress, storage, scaling, drivers, SLAs and exit terms.</description>
    </item>
    <item>
      <title>Why the B300 is the GPU serious AI teams are planning around right now</title>
      <link>https://1legion.com/blog/why-the-b300-is-the-gpu-serious-ai-teams-are-planning-around-right-now/</link>
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      <pubDate>Thu, 16 Jul 2026 00:00:00 GMT</pubDate>
      <category>GPUs</category>
      <description>The NVIDIA HGX B300 is shipping now. What Blackwell Ultra delivers technically, how it compares with H100, and why dedicated bare metal is the way to run it.</description>
    </item>
    <item>
      <title>B300 for production inference: what changes when you move beyond training</title>
      <link>https://1legion.com/blog/b300-for-production-inference-what-changes-when-you-move-beyond-training/</link>
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      <pubDate>Thu, 09 Jul 2026 00:00:00 GMT</pubDate>
      <category>GPUs</category>
      <description>What the NVIDIA B300's 270GB of memory, FP4 compute and latency profile mean for teams serving LLMs at scale on dedicated bare metal infrastructure.</description>
    </item>
    <item>
      <title>ISV certification and GPU infrastructure: why it matters more than you think for media workloads</title>
      <link>https://1legion.com/blog/isv-certification-and-gpu-infrastructure-why-it-matters-more-than-you-think-for-media-workloads/</link>
      <guid isPermaLink="true">https://1legion.com/blog/isv-certification-and-gpu-infrastructure-why-it-matters-more-than-you-think-for-media-workloads/</guid>
      <pubDate>Thu, 02 Jul 2026 00:00:00 GMT</pubDate>
      <category>Infrastructure</category>
      <description>What ISV certification means for GPU infrastructure, and why it matters for broadcast, VFX and media SaaS pipelines running professional software at scale.</description>
    </item>
    <item>
      <title>From H100 to B300: what changes for teams already running serious AI workloads</title>
      <link>https://1legion.com/blog/from-h100-to-b300-what-changes-for-teams-already-running-serious-ai-workloads/</link>
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      <pubDate>Thu, 18 Jun 2026 00:00:00 GMT</pubDate>
      <category>GPUs</category>
      <description>Running H100 in production and evaluating B300? Where each GPU makes sense, what the B300 resolves, and why the infrastructure layer matters for both.</description>
    </item>
    <item>
      <title>B300 on bare metal: what the architecture means for LLM training at scale</title>
      <link>https://1legion.com/blog/b300-on-bare-metal-what-the-architecture-means-for-llm-training-at-scale/</link>
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      <pubDate>Wed, 03 Jun 2026 00:00:00 GMT</pubDate>
      <category>GPUs</category>
      <description>The NVIDIA B300 brings 3.4x the memory of the H100 and native FP4 compute. What that means for LLM training at scale, and why bare metal makes the difference.</description>
    </item>
    <item>
      <title>ComfyUI and AI video on dedicated bare metal</title>
      <link>https://1legion.com/blog/comfyui-ai-video-on-bare-metal-gpu/</link>
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      <pubDate>Mon, 01 Jun 2026 00:00:00 GMT</pubDate>
      <category>Infrastructure</category>
      <description>Run ComfyUI, AI video generation and image pipelines on dedicated bare metal GPU servers, with full VRAM per job, no shared tenants and no egress fees.</description>
    </item>
    <item>
      <title>LLM inference on dedicated bare metal</title>
      <link>https://1legion.com/blog/llm-inference-on-bare-metal-gpu/</link>
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      <pubDate>Mon, 01 Jun 2026 00:00:00 GMT</pubDate>
      <category>Infrastructure</category>
      <description>Run LLM inference on dedicated bare metal GPU servers with full VRAM and bandwidth, FP4 and FP8 support, no shared tenants and no virtualization layer.</description>
    </item>
    <item>
      <title>1Legion and Classover form Ousia Compute: what a $50M dedicated GPU joint venture actually means</title>
      <link>https://1legion.com/blog/1legion-and-classover-form-ousia-compute-what-a-50m-dedicated-gpu-joint-venture-actually-means/</link>
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      <pubDate>Tue, 26 May 2026 00:00:00 GMT</pubDate>
      <category>News</category>
      <description>In May 2026, 1Legion and Classover formed Ousia Compute, a dedicated GPU joint venture. What was announced, and what a venture of this kind involves.</description>
    </item>
    <item>
      <title>Why LLM inference breaks on shared GPU infrastructure, and what to do about it</title>
      <link>https://1legion.com/blog/why-llm-inference-breaks-on-shared-gpu-infrastructure-and-what-to-do-about-it/</link>
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      <pubDate>Tue, 19 May 2026 00:00:00 GMT</pubDate>
      <category>Infrastructure</category>
      <description>Shared GPU cloud adds latency variance you cannot control. Why dedicated bare metal suits production LLM inference, and when it makes sense to switch.</description>
    </item>
    <item>
      <title>Bare metal vs shared GPU infrastructure: what actually matters in production</title>
      <link>https://1legion.com/blog/bare-metal-vs-shared-gpu-infrastructure-what-actually-matters-in-production/</link>
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      <pubDate>Tue, 24 Mar 2026 00:00:00 GMT</pubDate>
      <category>Infrastructure</category>
      <description>Bare metal vs shared GPU infrastructure: the real impact on performance, consistency and scalability for production AI, and when dedicated hardware wins.</description>
    </item>
    <item>
      <title>The real cost of running RTX 5090 at scale: what AI teams need to know</title>
      <link>https://1legion.com/blog/the-real-cost-of-running-rtx-5090-at-scale-what-ai-teams-need-to-know/</link>
      <guid isPermaLink="true">https://1legion.com/blog/the-real-cost-of-running-rtx-5090-at-scale-what-ai-teams-need-to-know/</guid>
      <pubDate>Thu, 05 Mar 2026 00:00:00 GMT</pubDate>
      <category>GPUs</category>
      <description>The real cost of running RTX 5090 GPUs at scale: how data movement, idle compute and infrastructure design shape AI training economics for generative AI.</description>
    </item>
    <item>
      <title>NVIDIA RTX PRO 6000 Blackwell servers are now available on 1Legion in Canada</title>
      <link>https://1legion.com/blog/nvidia-rtx-pro-6000-blackwell-servers-are-now-available-on-1legion-in-canada/</link>
      <guid isPermaLink="true">https://1legion.com/blog/nvidia-rtx-pro-6000-blackwell-servers-are-now-available-on-1legion-in-canada/</guid>
      <pubDate>Tue, 20 Jan 2026 00:00:00 GMT</pubDate>
      <category>News</category>
      <description>1Legion adds NVIDIA RTX PRO 6000 Blackwell servers in Montreal, Canada: dedicated bare metal for AI inference, VFX and media workloads on 36 to 60 month terms.</description>
    </item>
    <item>
      <title>When you should choose an H100-class GPU: a practical technical guide for AI, VFX and media workloads</title>
      <link>https://1legion.com/blog/when-you-should-choose-an-h100-a-practical-technical-guide-for-ai-vfx-and-media-workloads/</link>
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      <pubDate>Wed, 03 Dec 2025 00:00:00 GMT</pubDate>
      <category>Guides</category>
      <description>When to move from consumer GPUs like the RTX 5090 to H100-class data center GPUs for frontier AI, multimodal models, distributed training and media pipelines.</description>
    </item>
    <item>
      <title>Moving your transcoding solution to the cloud with the NVIDIA RTX 4000 Ada</title>
      <link>https://1legion.com/blog/moving-your-transcoding-solution-to-the-cloud-with-the-nvidia-rtx-4000-ada/</link>
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      <pubDate>Tue, 25 Nov 2025 00:00:00 GMT</pubDate>
      <category>GPUs</category>
      <description>Why the NVIDIA RTX 4000 Ada suits cloud transcoding, with hardware AV1, high stream density and stable performance for live and VOD media workflows.</description>
    </item>
    <item>
      <title>The real cost of training AI models in the cloud</title>
      <link>https://1legion.com/blog/the-real-cost-of-training-ai-models-in-the-cloud/</link>
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      <pubDate>Mon, 10 Nov 2025 00:00:00 GMT</pubDate>
      <category>Infrastructure</category>
      <description>Why AI training in the cloud costs more than the hourly rate suggests: storage, egress, idle GPU time, total cost of ownership and the bare metal alternative.</description>
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