Mirror Review
November 05, 2025
AMD, the U.S. chip manufacturing giant, reported its Q3 2025 results with astonishing numbers.
AMD posted record revenue of $9.246 billion, up 36% year-over-year, making this one of the strongest quarters in its history.
Moreover, the AMD earnings report also showed a 52% GAAP gross margin, $1.3 billion in operating income, and $1.2 billion in net income, supported by solid demand across its data center, client, and gaming segments.
CEO Dr. Lisa Su called it “an outstanding quarter, with record revenue and profitability reflecting broad-based demand for our high-performance EPYC and Ryzen processors and Instinct AI accelerators.”
Additionally, CFO Jean Hu said that AMD generated record free cash flow, due to disciplined execution and rising demand for AI and high-performance computing workloads.
But what exactly powered this massive jump to $9.2B in revenue?
While product strength played a major role, the most overlooked driver is AMD’s rapidly expanding global partnership ecosystem.
This is a network that now spans cloud hyperscalers, AI labs, government supercomputing projects, major enterprises, and software developers.
Here Are The 10 Partnerships That Powered The Record-Breaking Q3 AMD Earnings Report
1. OpenAI – A Strategic AI Alliance That Signals Long-Term GPU Demand
OpenAI chose AMD as a core preferred partner and committed to using 6 gigawatts of AMD Instinct GPUs, with the first 1GW MI450 deployment in 2026.
Why this mattered:
This deal showed the AI industry that AMD’s new MI400-series GPUs are trusted by one of the world’s leading AI labs.
When a company like OpenAI chooses your chips, it boosts industry confidence and encourages other customers to test or buy the same hardware.
It also pushed more developers to use ROCm 7, AMD’s software that makes AI model training faster and easier.
Together, this marks AMD’s position in the fast-growing AI chip market.
2. Oracle Cloud Infrastructure – First AI Supercluster Built on AMD’s “Helios” Rack
Oracle will deploy 50,000 AMD MI450 GPUs starting in Q3 2026 using AMD’s Helios rack, EPYC Venice CPUs, and Pensando networking. Oracle also expanded EPYC adoption through its new X11 Cloud@Customer and Private Cloud Appliance X11 platforms.
Why this mattered:
Oracle became the “first cloud provider” to adopt AMD’s full-rack AI design.
This helped AMD prove that it is no longer just a chip supplier, but it can also deliver entire AI infrastructure systems.
This validates AMD’s data center business and influenced more enterprises to adopt EPYC and Instinct products.
3. Cisco + G42 – Building a Secure AI Cluster in the UAE
Cisco and UAE’s G42 worked with AMD to build a large AI cluster powered by MI355X GPUs and AMD’s Pensando networking.
Why this mattered:
The world is moving toward sovereign AI, in which countries build their own systems for security reasons.
Winning deals like this helps AMD tap into government-backed, high-budget projects, the kind that run for years and require continuous chip orders.
It also showcased AMD’s ability to support secure, large-scale AI deployments outside the U.S.
4. IBM – Powering Next-Generation Multimodal AI Models
The AMD earnings report mentioned the IBM AMD partnership to support Zyphra’s advanced AI models using MI350X GPUs. They also announced plans to combine quantum computing with AMD’s high-performance hardware.
Why this mattered:
In enterprise computing, IBM is one of the most influential players. Their trust in AMD validates AMD’s progress in AI acceleration.
Additionally, the quantum + HPC collaboration positions AMD in a unique place for future computing models, which is an advantage competitors don’t yet have.
5. Cohere – Bringing AMD GPUs Into Enterprise AI Workloads
Cohere expanded its partnership to run its entire enterprise AI platform on AMD Instinct GPUs and ROCm 7.
Why this mattered:
Cohere serves banks, corporations, and government agencies. These are customers that buy AI infrastructure in bulk and renew contracts often.
This opened a steady stream of enterprise AI demand for AMD and helped show that Instinct GPUs work for real-world business use cases, not just research labs.
6. Vultr – Making AMD AI Hardware Accessible Worldwide for Cloud AI Workloads
Vultr rolled out MI355X GPUs globally, making AMD AI hardware easily accessible to developers, startups, and independent builders.
Why this mattered:
Vultr is one of the largest independent cloud providers, especially popular among mid-sized companies.
By offering AMD GPUs worldwide, Vultr helped bring AMD to audiences that can’t afford big cloud providers. This significantly increases everyday usage and drives volume sales.
This helped boost the Client & Gaming segment, which hit $4B, up 73% YoY as seen in the AMD earnings report.
7. DigitalOcean – Expanding AI Offerings for Startups and SMBs
DigitalOcean expanded its AMD offerings with MI325X GPUs now available and MI350X coming later this year.
Why this mattered:
DigitalOcean caters to startups and small-to-mid businesses which is a huge, price-sensitive market.
AMD’s competitive pricing and efficiency let DigitalOcean offer AI computing at a lower cost, which attracted more customers.
This widened AMD’s demand base beyond large cloud providers and helped increase GPU volume sales.
8. Tech Mahindra – EPYC + Instinct for Enterprise AI Cloud
Tech Mahindra integrated EPYC processors and Instinct GPUs into its Cloud BlazeTech platform for enterprise AI.
Why this mattered:
APAC is one of AMD’s fastest-growing data center markets.
Through Tech Mahindra, AMD gained more visibility and adoption across India and Southeast Asia. These are regions where digital transformation and AI adoption are growing quickly.
It also showed enterprises a full-stack solution combining AMD CPUs + GPUs together.
9. U.S. Department of Energy – Two New AMD-Powered Supercomputers
As mentioned in the AMD earnings report, AMD and the U.S. Department of Energy announced two major next-generation systems:
- Lux AI supercomputer – the first U.S. “AI factory supercomputer,” powered by MI355X GPUs, EPYC CPUs, and Pensando networking.
- Discovery supercomputer – arriving in 2028, featuring next-gen EPYC Venice CPUs and Instinct MI430X, a new sovereign-grade MI400 series accelerator.
Why this mattered:
Government-backed supercomputers are high-profile and high-budget projects.
They influence the broader HPC industry and often lead to follow-on commercial contracts.
These wins helped solidify AMD’s credibility in large-scale scientific and sovereign AI systems. This is a key area where NVIDIA has traditionally dominated.
10. AWS + EPYC Ecosystem Expansion – A Critical Driver Behind the Quarter
AWS launched its EC2 M8a instances, powered by 5th Gen EPYC, delivering 30% higher performance than the previous generation.
AMD also completed the divestiture of the ZT Systems manufacturing business to Sanmina, freeing AMD to focus fully on high-value compute and AI design.
At the same time, AMD expanded its consumer and workstation offerings:
- Ryzen Threadripper 9000WX & PRO 9000X processors
- FSR 4, now supported by 85+ games
- New EPYC Embedded 4005 and Ryzen Embedded 9000 processors
Why this mattered:
AWS remains one of AMD’s biggest cloud customers.
Each new EPYC instance increases AMD’s server CPU footprint and strengthens recurring cloud revenue.
Meanwhile, new chips in gaming, workstations, and embedded systems boosted margins and balanced AMD’s revenue beyond the data center.
Conclusion
The AMD earnings report shows more than a record $9.2B quarter. It reflects a company that has transformed from a challenger into a core infrastructure partner for the world’s biggest AI labs, cloud providers, and government supercomputing programs.
These 10 partnerships created the demand, credibility, and long-term momentum that defined this quarter, and they now shape what AMD calls its expanding “compute franchise and rapidly scaling data center AI business.”
Interestingly, despite the strong numbers and confident guidance discussed on the AMD earnings call, AMD’s stock still slipped by nearly 4%
This reaction highlights how investors are now pricing AMD not just on quarterly performance, but on expectations for future AI deployment timelines, competition, and the overall pace of cloud spending.
But even with short-term market fluctuations, AMD’s direction is clear.
If the company continues to win large-scale partners across AI, cloud, enterprise, and sovereign computing, the next stage of its growth will be driven not only by powerful chips but by the expanding global ecosystem it has built around them.
