oppalerts.com →
GPU AI Infrastructure Vendors

Inference Platform Lead

Research: Experts
Dominant · SE Outbound Links ρ=0.400

AI recommendation signal analysis across 109 domains for the Inference Platform Lead persona in GPU AI Infrastructure Vendors.

Link authority data (PageRank, harmonic centrality) comes from the Common Crawl web graph.
109Domains Tracked
Inference Platform Lead_persona.report
DomainScore
reddit.com
1.0
youtube.com
0.5
linkedin.com
0.1
redhat.com
0.1
nutanix.com
0.1
Want a custom AI visibility audit for GPU AI Infrastructure Vendors?

This report tracks how AI models and search engines recommend companies across 100 industries. If you want the same analysis run specifically against your own site and competitors, get in touch.

Get in touch
About This Report

How to use this page

Persona view: this page is scoped to this persona's queries alone.
Use Case

Know the recognized voices

The people search treats as this industry's experts. Quote them, partner with them, pitch them, or study what earned them the position and build your own.

How It's Calculated

Where the numbers come from

We run experts queries for this industry through Google and aggregate every result: domains by rank-weighted score (higher positions count for more) and appearance count, exact URLs by appearance count, and the most common title phrases.

Overview

What's on this page

Domain and URL charts, the full result list, and title n-gram tables.

Research

Research: Experts

Domains appearing in Google results for Inference Platform Lead's Research: Experts queries. Score is a rank-weighted sum (higher-ranked appearances count for more); count is a plain appearance tally.

By Score

Top URLs

Individual pages (not just domains) ranked by the same rank-weighted score, labeled by page title.

By Appearance Count

All Results

Every result for Inference Platform Lead's Research: Experts queries, ranked by how many times each exact URL appeared (ties broken by average rank position, so appearing higher up wins), a different aggregation than the score-based charts above. Title and URL links open in a new tab.

TitleURLAppearancesDomain PRDomain HCHost PRHost HC
How Knowledge Distillation Cuts AI Model Inference Costshttps://galileo.ai/blog/knowledge-distillation-ai-models229962195
Design Large-Scale Inference Serving | Waymo Interview Questionhttps://prachub.com/interview-questions/design-large-scale-inference-serving2095094
Built for Mass Scale: Hard-Won Lessons from Teams ...https://www.digitalocean.com/blog/lessons-running-inference-workloads257973495
Optimizing Mixture-of-Experts Inference Time via Model ...https://www.computer.org/csdl/journal/nw/5555/01/11303974/2cygxpUn9VC249971895
Inference Engineer Interview Questions & Practice Simulatorhttps://www.acemyinterviews.io/interview/inference-engineer2----
Inference engineering: how to run AI models in productionhttps://telnyx.com/resources/inference-engineering233962595
Interview experience for LLM inference systems positionhttps://www.reddit.com/r/LLMDevs/comments/1r5vona/interview_experience_for_llm_inference_systems/172976496
Understanding LLM Inference | NVIDIA Experts Deconstruct ...https://www.youtube.com/watch?v=NJ1jAfWR84k191997597
LLM System Design Interview: How to Optimise Inference ...https://www.youtube.com/watch?v=HqvCipfNiwI191997597
You're in a ML Engineer interview at Meta, and the ...https://www.linkedin.com/posts/athletickoder_llm-inference-machinelearning-activity-7374799786983555072--ujq190987397
Technically Speaking | Scaling AI inference with open sourcehttps://www.redhat.com/en/technically-speaking/scaling-AI-inference159973395
The Shift From Building Smarter AI Models to Running Themhttps://www.nutanix.com/theforecastbynutanix/technology/ai-shifts-from-llms-to-inference140961495
Economics of Claude 3 Opus Inferencehttps://www.lesswrong.com/posts/vFXmy84kJ77C5cELy/economics-of-claude-3-opus-inference138961995
Inference optimization for Production ML Systemshttps://medium.com/@srikarparnandi/the-hidden-engineering-behind-fast-ai-inference-optimization-for-production-ml-systems-1e1c88c9d22c174976897
What Is Machine Learning Inference? Types & Optimizationhttps://www.snowflake.com/en/artificial-intelligence/machine-learning/inference/151972295
Production ML systems: Static versus dynamic inferencehttps://developers.google.com/machine-learning/crash-course/production-ml-systems/static-vs-dynamic-inference199999197
Federation of Experts: Communication Efficient Distributed ...https://arxiv.org/html/2605.06206v1165976196
LLM Inference Optimization: A Complete Guide (2026)https://www.systemdesignhandbook.com/blog/llm-inference-optimization/1595093
Wesco on Instagram: "As AI adoption grows, inference at the ...https://www.instagram.com/reel/DVgweHuDaxb/193998197
Generative Vision Interview Questions #21 - The Inference ...https://aiinterviewprep.substack.com/p/generative-vision-interview-questions-f4b16597--
Ai Infra Engineer Playbook - ML & LLM Interview Prep — Deep Diveshttp://fahimfaisal.info/ml_and_llm_learning/69_ai_infrastructure_engineering/AI_INFRA_ENGINEER_PLAYBOOK.html1295092
Senior Software Engineer, Deep Learning Inferencehttps://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Senior-Software-Engineer--Deep-Learning-Inference_JR20167531--1495
Scaling AI Inference With NVIDIA Conference Sessionshttps://www.nvidia.com/en-us/on-demand/playlist/gtc26-scaling-ai-inference-with-nvidia/158972695
tensorflow and keras - fast inference in production from SQShttps://stackoverflow.com/questions/61562123/tensorflow-and-keras-fast-inference-in-production-from-sqs165976596
Model Deployment and Inference Optimization Questionshttps://interviewstack.io/research_scientist/categories/question-bank/model-deployment-and-inference-optimization1093093
Monitoring CNN Model Performance in Productionhttps://www.facebook.com/groups/DeepNetGroup/posts/830935823965968/196997897
Coding - Dynamic Batch Inference - xAI Interview Questionhttps://darkinterview.com/collections/xai/questions/e7364faa-f74c-4481-8fc0-cb4da2a1c8dd1----
Operationalizing AI Agents: Fr… - MLOps.communityhttps://podcasts.apple.com/us/podcast/operationalizing-ai-agents-from-experimentation-to/id1505372978?i=1000758267017185986496
Introducing Disaggregated Inference on AWS powered by ...https://aws.amazon.com/blogs/machine-learning/introducing-disaggregated-inference-on-aws-powered-by-llm-d/177976196
Evaluating causes and characterizing non-deterministic ...https://sparai.org/projects/sp26/recC03fat1F50hhRn/11195994
Software Engineer - GenAI inferencehttps://www.databricks.com/company/careers/engineering---pipeline/software-engineer---genai-inference--8202670002150973295
Walk with the founder of @anyscalecompute Robert Nishihara ...https://www.instagram.com/reel/DP1oc0uEWBB/193998197
Inference Engineering | Baseten Bookshttps://www.baseten.co/inference-engineering/139961595
6 Production-Tested Optimization Strategies for High- ...https://www.bentoml.com/blog/6-production-tested-optimization-strategies-for-high-performance-llm-inference137961395
ML inference in credit scoring - Nussknackerhttps://nussknacker.io/case-studies/ml-inference-in-credit-scoring/1895495
Perspectives On Machine Learning Inference Serving in ...https://onlinelibrary.wiley.com/doi/full/10.1002/spe.70069163975996
Graduating from Proprietary to Open Source Models in ...https://home.mlops.community/public/videos/graduating-from-proprietary-to-open-source-models-in-production127961195
Accelerating LLM inference with post-training weight and ...https://aws.amazon.com/blogs/machine-learning/accelerating-llm-inference-with-post-training-weight-and-activation-using-awq-and-gptq-on-amazon-sagemaker-ai/177976196
Internship, Software Compiler Engineer, AI Inference (Fall ...https://www.tesla.com/careers/search/job/internship-software-compiler-engineer-ai-inference-fall-2026-263211149972495
You're in a ML Engineer interview at Microsoft ...https://www.linkedin.com/posts/athletickoder_llm-inference-machinelearning-activity-7374428622826237952-rar_190987397
XShare: Collaborative in-Batch Expert Sharing for Faster ...https://openreview.net/forum?id=KmY5XUgEYe147964595
Best GPU Cloud for Running Qwen3 Inference at Scale Guidehttps://www.gmicloud.ai/en/blog/best-gpu-cloud-for-running-qwen3-inference-at-scale12296695
Today, vLLM supports 500+ model architectures, runs ...https://x.com/woosuk_k/status/2014383490637443380?lang=en183979297
Optimizing, Deploying, and Scaling ML Inferencehttps://www.infracloud.io/webinars/model-to-production-optimizing-deploying-scaling-ml-inference/12195494
AI Inference: A Guide for Founders and Developershttps://www.heavybit.com/library/article/ai-inference13996794
A Practical Deep Dive on LLM Inference and Optimization!https://blog.dailydoseofds.com/p/a-practical-deep-dive-on-llm-inference136951295
AI Inference Workloads: Solving Challenges Beyond ...https://info.datascience.salon/ai-inference-workloads-solving-challenges-beyond-training-models1--093
Exploring the Latency/Throughput & Cost Space for LLM ...https://home.mlops.community/public/videos/exploring-the-latencythroughput-and-cost-space-for-llm-inference127961195
A Survey on Inference Optimization Techniques for Mixture ...https://dl.acm.org/doi/10.1145/3794845163976296
Production-Ready AI Training and Inference with Vultrhttps://www.amd.com/en/corporate/events/advancing-ai/sessions-catalog/production-ready-ai-training-and-inference-with-vultr.html155972395
Mastering AI Engineer Interview Questions 2026https://nexusitgroup.com/ai-engineer-interview-questions/116951094
Efficient MoE Inference: Optimization Techniqueshttps://apxml.com/courses/mixture-of-experts-advanced-implementation/chapter-4-efficient-moe-inference120951395
Getting ready for an AI engineer interview? Stop ...https://www.instagram.com/p/DZ2AR9dGlJe/193998197
From Dense to Mixture of Experts: The New Economics ...https://signal65.com/research/ai/from-dense-to-mixture-of-experts-the-new-economics-of-ai-inference/122951395
Accelerated DBRX Inference on Databricks Model Servinghttps://www.databricks.com/blog/accelerated-dbrx-inference-mosaic-ai-model-serving150973295
We surveyed 200 AI architects for our new report, The State of ...https://www.facebook.com/AkamaiTechnologies/videos/we-surveyed-200-ai-architects-for-our-new-report-the-state-of-ai-inference-and-f/1728024375278767/196997897
GenAI & LLM Interview Guides | RAG, fine-tuning, agents & ...https://www.calibreos.com/learn/genai1093092
Why AI Inference Fails on Training Infrastructure | Akamaihttps://tfir.io/ai-inference-infrastructure-training-akamai-ari-weil/127952495
𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰 𝐰𝐢𝐭𝐡 𝐌𝐢𝐭𝐞𝐬𝐡 𝐀𝐠𝐫𝐚𝐰𝐚𝐥, 𝐂𝐄𝐎 𝐨𝐟 ...https://www.facebook.com/investclub.sv/videos/%F0%9D%90%88%F0%9D%90%A7%F0%9D%90%AD%F0%9D%90%9E%F0%9D%90%AB%F0%9D%90%AF%F0%9D%90%A2%F0%9D%90%9E%F0%9D%90%B0-%F0%9D%90%B0%F0%9D%90%A2%F0%9D%90%AD%F0%9D%90%A1-%F0%9D%90%8C%F0%9D%90%A2%F0%9D%90%AD%F0%9D%90%9E%F0%9D%90%AC%F0%9D%90%A1-%F0%9D%90%80%F0%9D%90%A0%F0%9D%90%AB%F0%9D%90%9A%F0%9D%90%B0%F0%9D%90%9A%F0%9D%90%A5-%F0%9D%90%82%F0%9D%90%84%F0%9D%90%8E-%F0%9D%90%A8%F0%9D%90%9F-%F0%9D%90%8F%F0%9D%90%A8%F0%9D%90%AC%F0%9D%90%A2%F0%9D%90%AD%F0%9D%90%AB%F0%9D%90%A8%F0%9D%90%A7-%F0%9D%90%80%F0%9D%90%88-%F0%9D%90%91%F0%9D%90%9E%F0%9D%90%9D%F0%9D%90%9E%F0%9D%90%9F%F0%9D%90%A2%F0%9D%90%A7%F0%9D%90%A2%F0%9D%90%A7%F0%9D%90%A0-%F0%9D%90%80%F0%9D%90%88-%F0%9D%90%88%F0%9D%90%A7%F0%9D%90%9F%F0%9D%90%9E%F0%9D%90%AB%F0%9D%90%9E%F0%9D%90%A7%F0%9D%90%9C%F0%9D%90%9E-%F0%9D%90%9A%F0%9D%90%AD-%F0%9D%9F%8F%F0%9D%90%81-%F0%9D%90%95/1025796983195055/196997897
Compressing Inference Costs with AI Expertshttps://www.linkedin.com/posts/theory-ventures_beyond-the-api-modern-inference-for-modern-activity-7473486038502453248-nIRi190987397
How vLLM and llm-d Changed AI Inference with Rob Shawhttps://open.spotify.com/episode/7GIu2kWe0ryCvAThWj6pNt174977297
Try Red Hat AI Inference on IBM Cloud with a Simple curlhttps://community.ibm.com/community/user/blogs/steven-whitehead/2026/05/19/red-hat-ai-inference-ibm-cloud166973595
Inference Engineering, Open Models & Shipping AI At Scalehttps://www.opensourceceo.com/p/philip-kiely-interview1895093
What Is AI Inference? The Real Enterprise AI Challengehttps://techpoint.org/what-is-ai-inference-enterprise-challenge/124961795
Top 27 Causal Inference Interview Questions (2026)https://www.datainterview.com/blog/causal-inference-interview-questions1294093
Amazon's Challenging Data Science Interview Problemhttps://www.tiktok.com/@jonathan.interviews/video/7508809683877055775179976396
Optimizing GLM4-MoE for Production: 65% Faster TTFT ...https://www.lmsys.org/blog/2026-01-21-novita-glm4/134962395
What is inference engineering? Deepdive - by Gergely Oroszhttps://newsletter.pragmaticengineer.com/p/what-is-inference-engineering139962995
Real Cloud Infrastructure for Real AI Workloadshttps://www.coreweave.com/events/real-cloud-infrastructure-for-real-ai-workloads-training-and-inference-at-production-scale131951595
Inference is the New Runtime: Our Investment in Fireworkshttps://www.indexventures.com/perspectives/inference-is-the-new-runtime-our-investment-in-fireworks/13495795
How to Engineer AI Inference Systems [Philip Kiely] - 766https://www.youtube.com/watch?v=k_tn-e6FWsU191997597
Optimizing Production ML Inference for Accuracy and Cost ...https://blog.chameleoncloud.org/posts/optimizing-production-ml-inference-for-accuracy-and-cost-efficiency/12096094
A popular LLM interview question - Mixture of Experts vs ...https://www.instagram.com/reel/DVv2BUsjEAo/193998197
The Time to Capitalize on AI Inference is Nowhttps://www.liqid.com/blog/the-time-to-capitalize-on-ai-inference-is-now11495394
2026: The Year of AI Inferencehttps://www.vastdata.com/blog/2026-the-year-of-ai-inference129951495
Real-Time AI Inference on AWS: Fix the Data Bottleneck ... - Silkhttps://silk.us/blog/real-time-ai-inference-aws-data-bottleneck/11996995
What Is Inference Engineering and Why Every Tech ...https://www.interviewpal.com/blog/what-is-inference-engineering-and-why-every-tech-recruiter-is-suddenly-asking-about-it12495895
Leveraging Expert Usage to Speed up LLM Inference with ...https://hal.science/hal-04994839v1/document144964396
Efficient LLM Inference: Interview Pocket Notes | PDFhttps://www.scribd.com/document/1038609928/Llm163972495
XShare: Collaborative in-Batch Expert Sharing for Faster ...https://ui.adsabs.harvard.edu/abs/2026arXiv260207265V/abstract164974096
Generative AI and Large Language Model Assisted Causal ...https://onepetro.org/SPEADIP/proceedings-abstract/24ADIP/24ADIP/585031131962495
Toward Efficient Inference for Mixture of Expertshttps://openreview.net/forum?id=stXtBqyTWX147964595
AI Inference for Predictive Maintenance in Manufacturing ...https://www.xenonstack.com/blog/ai-inference-for-predictive-maintenance-databricks12595094
MLPerf Inference 6.0 Sets New Records Across an ...https://techarena.ai/content/mlperf-inference-6-0-sets-new-records-across-an-expanded-suite120951694
Scaling LLM Inference: Innovations in Tensor Parallelism ...https://engineering.fb.com/2025/10/17/ai-research/scaling-llm-inference-innovations-tensor-parallelism-context-parallelism-expert-parallelism/1--4295
Together AI Delivers Top Speeds for DeepSeek-R1-0528 ...https://www.together.ai/blog/fastest-inference-for-deepseek-r1-0528-with-nvidia-hgx-b200140962495
Bloghttps://vllm.ai/blog143962495
Inference - Scott Loftesnesshttps://sjl.us/tag/inference/1294094
The next tectonic shift in AI: Inferencehttps://www.uncoveralpha.com/p/the-next-tectonic-shift-in-ai-inference1795093
We surveyed 200 AI architects for our new report, The State ...https://www.facebook.com/AkamaiTechnologies/posts/we-surveyed-200-ai-architects-for-our-new-report-the-state-of-ai-inference-and-f/1884133015792628/196997897
How AI Engineers Are Designing Systems for Billions of ...https://www.interviewnode.com/post/how-ai-engineers-are-designing-systems-for-billions-of-inferences-per-day1295094
Statistical learning and causal inference for energy ...https://theses.hal.science/tel-04106368144963595
Phrase Frequency

Title N-Grams

Most common word phrases (2 to 7 words) across every result title for these queries.

2-grams

15ai inference
8llm inference
6engineer interview
6inference with
6of experts
6inference engineering
5inference optimization
5interview questions
5mixture of
4how to
4what is
4in production
4interview question
4inference on
4inference for
3ai models
3production ml
3learning inference
3llm interview
3inference costs
3inference serving
3ml inference
3models in
2for llm
2inference systems

3-grams

5mixture of experts
3ai inference with
3engineer interview questions
2you re in
2re in a
2in a ml
2a ml engineer
2ml engineer interview
2engineer interview at
2scaling ai inference
2production ml systems
2machine learning inference
2built for mass
2for mass scale
2mass scale hard
2scale hard won
2hard won lessons
2won lessons from
2lessons from teams
2how knowledge distillation
2knowledge distillation cuts
2distillation cuts ai
2cuts ai model
2ai model inference
2model inference costs

4-grams

2you re in a
2re in a ml
2in a ml engineer
2a ml engineer interview
2ml engineer interview at
2scaling ai inference with
2built for mass scale
2for mass scale hard
2mass scale hard won
2scale hard won lessons
2hard won lessons from
2won lessons from teams
2how knowledge distillation cuts
2knowledge distillation cuts ai
2distillation cuts ai model
2cuts ai model inference
2ai model inference costs
2design large scale inference
2large scale inference serving
2scale inference serving waymo
2inference serving waymo interview
2serving waymo interview question
2xshare collaborative in batch
2collaborative in batch expert
2in batch expert sharing

5-grams

2you re in a ml
2re in a ml engineer
2in a ml engineer interview
2a ml engineer interview at
2built for mass scale hard
2for mass scale hard won
2mass scale hard won lessons
2scale hard won lessons from
2hard won lessons from teams
2how knowledge distillation cuts ai
2knowledge distillation cuts ai model
2distillation cuts ai model inference
2cuts ai model inference costs
2design large scale inference serving
2large scale inference serving waymo
2scale inference serving waymo interview
2inference serving waymo interview question
2xshare collaborative in batch expert
2collaborative in batch expert sharing
2in batch expert sharing for
2batch expert sharing for faster
2we surveyed 200 ai architects
2surveyed 200 ai architects for
2200 ai architects for our
2ai architects for our new

6-grams

2you re in a ml engineer
2re in a ml engineer interview
2in a ml engineer interview at
2built for mass scale hard won
2for mass scale hard won lessons
2mass scale hard won lessons from
2scale hard won lessons from teams
2how knowledge distillation cuts ai model
2knowledge distillation cuts ai model inference
2distillation cuts ai model inference costs
2design large scale inference serving waymo
2large scale inference serving waymo interview
2scale inference serving waymo interview question
2xshare collaborative in batch expert sharing
2collaborative in batch expert sharing for
2in batch expert sharing for faster
2we surveyed 200 ai architects for
2surveyed 200 ai architects for our
2200 ai architects for our new
2ai architects for our new report
2architects for our new report the
2for our new report the state
2inference engineering how to run ai
2engineering how to run ai models
2how to run ai models in

7-grams

2you re in a ml engineer interview
2re in a ml engineer interview at
2built for mass scale hard won lessons
2for mass scale hard won lessons from
2mass scale hard won lessons from teams
2how knowledge distillation cuts ai model inference
2knowledge distillation cuts ai model inference costs
2design large scale inference serving waymo interview
2large scale inference serving waymo interview question
2xshare collaborative in batch expert sharing for
2collaborative in batch expert sharing for faster
2we surveyed 200 ai architects for our
2surveyed 200 ai architects for our new
2200 ai architects for our new report
2ai architects for our new report the
2architects for our new report the state
2inference engineering how to run ai models
2engineering how to run ai models in
2how to run ai models in production
2optimizing mixture of experts inference time via
2mixture of experts inference time via model
1interview experience for llm inference systems position
1llm system design interview how to optimise
1system design interview how to optimise inference
1in a ml engineer interview at meta