+
{QUOTES.map((quote) => (
))}
diff --git a/packages/app/src/components/quotes/quotes-data.ts b/packages/app/src/components/quotes/quotes-data.ts
index 54a0ba84..dcfefcfd 100644
--- a/packages/app/src/components/quotes/quotes-data.ts
+++ b/packages/app/src/components/quotes/quotes-data.ts
@@ -20,30 +20,35 @@ export const QUOTES: Quote[] = [
name: 'Dr. Lisa Su',
title: 'Chair and CEO, AMD',
company: 'AMD',
+ logo: 'amd.svg',
},
{
text: "Inference demand is growing exponentially, driven by long-context reasoning. NVIDIA Grace Blackwell NVL72 was invented for this new era of thinking AI. NVIDIA is meeting that demand through constant hardware and software innovation to enable what's next in AI. By benchmarking frequently, InferenceMAX\u2122 gives the industry a transparent view of LLM inference performance on real-world workloads. The results are clear: Grace Blackwell NVL72 with TRT-LLM and Dynamo delivers unmatched performance per dollar and per megawatt\u2014powering the most productive and cost-effective AI factories in the world.",
name: 'Jensen Huang',
title: 'Founder & CEO, NVIDIA',
company: 'NVIDIA',
+ logo: 'nvidia.svg',
},
{
text: "Speed is the moat. InferenceMAX\u2122's nightly benchmarks match the speed of improvement of the AMD software stack. It's fantastic to see AMD's MI300, MI325, and MI355 GPUs performing so well across diverse workloads and interactivity levels.",
name: 'Anush Elangovan',
title: 'VP GPU Software, AMD',
company: 'AMD',
+ logo: 'amd.svg',
},
{
text: 'InferenceMAX\u2122 highlights workloads that the ML community cares about. At NVIDIA, we welcome these comparisons because they underscore the advantage of our full-stack approach\u2014from GPUs hardware to NVLink networking to NVL72 Rack Scale to Dynamo disaggregated serving that consistently delivers industry-leading inference performance and ROI at scale.',
name: 'Ian Buck',
title: 'VP & GM, Hyperscale, NVIDIA & Inventor of CUDA',
company: 'NVIDIA',
+ logo: 'nvidia.svg',
},
{
text: "InferenceMAX\u2122's nightly results highlight the rapid pace of progress in the AMD software stack. It's exciting to witness the birth of an open project that provides a tied feedback loop between what the software team works on here at AMD and how it affects specific ML use cases across our MI300, MI325, and MI355 GPUs. I'm looking forward to see what's next for InferenceMAX and to showcase what the AMD platform can do. AMD GPUs will continue to get faster every week.",
name: 'Quentin Colombet',
title: 'Senior Director, AMD, Ex-Brium CEO',
company: 'AMD',
+ logo: 'amd.svg',
},
{
text: "Our mission at Azure is to give customers the most performant, efficient, and cost-effective cloud for AI. SemiAnalysis InferenceMAX\u2122 supports that mission by providing transparent, reproducible benchmarks that track inference performance across GPUs and software stacks under realistic workloads. This continuous data on throughput, efficiency, and cost per watt strengthens our ability to tune Azure's inference platform for scale, helping customers build with confidence on Microsoft Cloud.",
@@ -151,4 +156,11 @@ export const QUOTES: Quote[] = [
company: 'Vultr',
logo: 'vultr.svg',
},
+ {
+ text: "At Prime Intellect, we're pushing the frontier of AI post-training and open research. InferenceX\u2122 complements that work by providing open, reproducible benchmarks that track real-world inference performance across hardware and software stacks as they evolve. For researchers like us, having transparent, continuously updated data on throughput and efficiency means we can focus on building better models instead of second-guessing infrastructure. This is the kind of community-driven effort that accelerates progress for everyone.",
+ name: 'Jack Min Ong',
+ title: 'Researcher, Prime Intellect',
+ company: 'Prime Intellect',
+ logo: 'prime-intellect.svg',
+ },
];