COMPUTING

Optimizing vLLM Deployments: Workload Tuning and Metrics Scaling

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09 February 2026 10h10

5/5 The takeaway: know your workload, tune your config, scale on metrics that reflect client experience. These lessons apply beyond GRPO – any high-throughput vLLM deployment facing variable load can benefit. Full blog post:

Autoscaling by Queue Depth: Beyond GPU Utilization Metrics

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09 February 2026 10h10

4/5 The horizontal fix: autoscale on queue depth, not GPU utilization 100% GPU = efficiency, not overload. We use vllm:num_requests_waiting to trigger scale-up when the deployment can't keep up with incoming requests.

Auto-Tune vLLM Config Doubles Throughput and Halves Latency

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09 February 2026 10h10

3/5 The vertical fix: auto-tune vLLM config Our old settings were way too conservative. After tuning with Auto-Tune vLLM + GuideLLM we got: ~2× throughput, 2× lower latency, same GPU budget @VLLM @Openshift

JLM Deployment Sharing Across Multiple Training Jobs for GPU Optimization

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09 February 2026 10h10

2/5 The setup: JLMs are used only during the reward phase of Online RL, sitting idle the rest of each step. To avoid GPU waste, we shared JLM deployments across multiple training jobs. This improved utilization but exposed JLMs to unpredictable traffic bursts from multiple

Scaling vLLM: Doubling Throughput and Halving Latency

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09 February 2026 10h10

1/5 Go Big or Go OOM: The Art of Scaling vLLM .
We doubled throughput and cut latency in half-same GPUs, just better vLLM config then added smart autoscaling to handle traffic bursts. Here's what we learned optimizing LLM-as-a-Judge for GRPO training.

→ View original post on X — @aibreakfast

Kling 3.0: Removing technical barriers for cinematic scene creation in one pass.

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@aibreakfast

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09 February 2026 4h41

The goal of Kling 3.0 is simple:

Remove the technical ceiling between an idea and a finished scene. Direction, coverage, pacing, and shot logic now happen in one pass.

You describe intent once and the system executes with real cinematic structure.

Also Kling 3.0 now supports… pic.twitter.com/Z41fanoe8e
— AI Breakfast (@AiBreakfast) 9 février 2026

The goal of Kling 3.0 is simple: Remove the technical ceiling between an idea and a finished scene. Direction, coverage, pacing, and shot logic now happen in one pass. You describe intent once and the system executes with real cinematic structure. Also Kling 3.0 now supports

→ View original post on X — @miketamir

Google’s 2025 AI Research Breakthroughs Across Eight Key Areas

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@miketamir

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09 February 2026 1h28

Google's year in review: 8 areas with research breakthroughs in 2025 https://
buff.ly/oZu9r2M
#AI #MachineLearning #DeepLearning #LLMs #DataScience

→ View original post on X — @catherineadenle

MRI-Guided Cryoablation Destroys Spinal Cancer Tumor Without Surgery

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@catherineadenle

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09 February 2026 0h49

😳🩻🤷🏽‍♀️ A spinal cancer tumour. Frozen solid. Gone the same day.

According to ABC News Australia, doctors at Liverpool Hospital used Australia’s first MRI-guided cryoablation to destroy a cancerous spinal tumour without open surgery.

Here’s the wild part 👇

➡️ A needle guided… pic.twitter.com/VvYjXk7W4C
— Catherine Adenle (@CatherineAdenle) 8 février 2026

A spinal cancer tumour. Frozen solid. Gone the same day. According to ABC News Australia, doctors at Liverpool Hospital used Australia’s first MRI-guided cryoablation to destroy a cancerous spinal tumour without open surgery. Here’s the wild part A needle guided