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Intel confirmed that Saurabh Kulkarni, its vice president of data-center AI product management, was leaving the company on November 7, 2025. Multiple sources told CRN he was headed to AMD, but AMD did not confirm his hiring or role in the original report. The move is a meaningful talent and execution signal, not proof that Intel’s AI business is collapsing or that AMD has overtaken Nvidia.
What is confirmed about Saurabh Kulkarni’s move?
CRN reported on November 6, 2025, that Kulkarni had announced his departure from Intel, with Friday, November 7, reported as his final day. Intel confirmed the departure and said Anil Nanduri, its vice president of AI go-to-market, would assume leadership of the AI product-management organization. Intel said the team remained focused on execution and customer delivery.
Multiple sources told CRN that Kulkarni was leaving to join AMD. AMD declined to comment, and CRN could not independently confirm his specific AMD position. A later LinkedIn post by CRN editor Dylan Martin also described him as joining AMD, but that is secondary confirmation rather than an AMD announcement. The exact title, start date, reporting line, compensation, team movement and any employment restrictions were not disclosed.
CRN’s original report is the source for the departure, succession plan and source-based account of the AMD move.
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Who is Saurabh Kulkarni?
Kulkarni’s reported Intel title was vice president of data-center AI product management. In his latest stint, which began in 2023, he spent a little more than two years coordinating products across silicon, software and systems. CRN reported that his work included Intel’s Gaudi accelerators, AI systems, GPU product management, rack-scale systems and silicon-photonics strategy for GPU interconnect and data-center scalability.
His broader career included roughly 13 years at Intel earlier in his career, cloud and AI-systems work at Microsoft, chief product officer responsibilities at Lucata and general-manager duties for North America at Graphcore. Those résumé details were reported by CRN and reflected in Kulkarni’s public professional profile; they should not be read as a claim that he personally owned Intel’s entire AI strategy.
What did his Intel role actually control?
Product management sits between engineering and the customer. In an accelerator business, that function helps turn chip capabilities into deployable platforms and aligns road maps with real workloads.
- Coordinating hardware, software, networking, memory, interconnect and rack-level requirements.
- Translating hyperscaler and enterprise needs into product priorities.
- Aligning engineering, sales, partners and customers around launch timing and supported configurations.
- Helping define systems rather than only an individual accelerator chip.
CRN reported that Kulkarni worked under Sachin Katti, whom Intel CEO Lip-Bu Tan appointed chief technology and AI officer in April 2025. Kulkarni led the AI systems and GPU product-management team and had previously held the title of vice president of AI systems design. That makes his departure relevant to coordination and execution, but it does not make him Intel’s chief AI architect or sole decision-maker.
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Why the timing matters for Intel
Intel was already resetting its data-center AI strategy. The company had acknowledged that Gaudi adoption was slower than expected and that it would not reach its previously stated $500 million Gaudi revenue target for 2024. On Intel’s third-quarter 2024 earnings call, management attributed the shortfall to the transition from Gaudi 2 to Gaudi 3 and software ease-of-use problems, while still arguing that open-standard systems with favorable total cost of ownership had a market.
That context matters because accelerator buyers judge more than peak silicon specifications. They also assess framework support, deployment reliability, power and cooling, supply assurance, total cost of ownership, system integration and vendor support. Intel’s own explanation makes software and product-transition execution central to the Gaudi story, rather than reducing it to a simple performance failure.
CRN also reported departures involving Ronak Singhal, Rob Bruckner and Katti. These were separate personnel events, not evidence that every departure had the same cause. Katti’s move to OpenAI was covered separately by CRN at this link.
Under Tan, CRN reported that Intel was emphasizing open systems and software architecture, moving toward an annual GPU-release cadence, developing a 160-GB data-center GPU shown at the 2025 OCP Global Summit, recruiting outside engineering leadership and prioritizing execution. Losing a senior product leader during that reset can increase coordination risk, although Intel’s immediate appointment of Nanduri provides continuity.
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Intel’s earnings-call comments on the Gaudi target and its stated causes are available in the company’s third-quarter 2024 earnings materials.
Why AMD is a logical destination
AMD was broadening its data-center AI business beyond individual accelerators through Instinct GPUs, the ROCm software stack, systems capabilities and the acquisition of ZT Systems. That expansion creates demand for leaders who understand how silicon, software, racks and customer deployments fit together.
AMD and OpenAI announced on October 6, 2025, an agreement covering deployment of 6 gigawatts of AMD Instinct GPUs across multiple generations. AMD said the arrangement was expected to generate tens of billions of dollars in revenue, but that language was a company projection tied to future deployments and milestones, not recognized revenue. The announcement is at AMD’s official release.
AMD’s third-quarter 2025 results reported $4.3 billion in Data Center revenue, up 22% year over year, driven primarily by fifth-generation EPYC processors and Instinct MI350-series GPUs. That is the entire Data Center segment, not standalone GPU revenue. AMD later reported $16.6 billion of full-year 2025 Data Center revenue, compared with $12.6 billion in 2024; that total also includes CPUs and other data-center products.
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| AMD figure | What it measures | Important qualification |
|---|---|---|
| $4.3 billion | Q3 2025 Data Center revenue | Includes EPYC CPUs and other products, not just GPUs |
| $16.6 billion | Full-year 2025 Data Center revenue | Includes CPUs and other data-center products; reported in AMD’s annual filing |
| 6 gigawatts | Announced OpenAI GPU deployment agreement | Multi-generational and future-oriented; not equivalent to completed installations |
Sources: AMD’s Q3 2025 results and AMD’s 2025 annual filing.
What AMD could gain—and what the evidence does not show
Potential benefit: systems and product expertise
AMD could gain a senior leader familiar with accelerator road maps, rack-scale planning, interconnect, software coordination and customer requirements. That experience may help as AMD scales from successful products to repeatable, supported infrastructure deployments.
Potential benefit: competitive perspective
Knowledge of competing approaches can improve planning and customer conversations. Ordinary industry experience is not the same as permission to use confidential Intel information. Trade secrets and other protected material remain governed by employment agreements and applicable law.
What is not established
- There is no evidence that Kulkarni transferred Intel trade secrets.
- No source establishes that he caused Intel’s Gaudi shortfall or that he personally won AMD’s OpenAI agreement.
- There is no announced Intel product cancellation or AMD product change tied to his departure.
- The move does not guarantee that AMD will overtake Nvidia.
How investors and infrastructure buyers should interpret the signal
1. Scope of authority matters
A vice president leading product management can influence priorities and execution, but that is different from being a chief architect, business-unit president or company-wide AI chief. The likely effect is strongest in coordination, customer enablement and road-map discipline.
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2. Replacement quality matters
Intel’s appointment of Nanduri reduces the immediate organizational vacuum. The more important question is whether that appointment is temporary coverage or part of a durable reorganization with enough engineering and software depth behind it.
3. Product-cycle timing matters
If major accelerator and rack road maps are already locked, one departure may have limited near-term effect. Risk rises when a transition is still resolving specifications, software support, server qualifications or customer commitments.
4. Software execution matters as much as hiring
Intel identified software ease of use and the Gaudi 2-to-Gaudi 3 transition as adoption problems. AMD therefore has to convert ROCm, systems integration and customer support into reliable deployments; adding an executive does not remove those execution requirements.
5. Customer announcements need careful reading
The OpenAI agreement is strategically important, but its 6-gigawatt figure describes planned, multi-generation deployment. It should not be treated as immediate revenue or proof that AMD has displaced Nvidia in the accelerator market.
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What remains unknown
- Kulkarni’s exact AMD title, reporting line and start date.
- Whether other Intel employees or customer relationships moved with him.
- Whether any non-compete, garden-leave or other employment restriction applies.
- Whether Intel’s announced product schedules or customer contracts change.
- AMD’s formal confirmation of the hire.
Implications for technology spending decisions
Organizations evaluating accelerator infrastructure should judge products on current availability, supported frameworks, OEM qualification, deployment reliability, memory, interconnect, power and total cost of ownership—not on this personnel report.
| Option | Where it may fit | Key diligence question |
|---|---|---|
| AMD Instinct | Teams seeking an alternative accelerator platform and willing to validate ROCm-based workloads | Can existing training and inference software be ported and supported at the required scale? |
| AMD ROCm | Engineering teams with resources for framework and orchestration validation | Which models, libraries and production tools are qualified for the intended deployment? |
| Intel Gaudi | Buyers prioritizing open-standard positioning or existing Intel relationships | What are the current availability, software maturity, server qualifications and road-map commitments? |
| Intel Xeon | CPU-heavy inference, preprocessing, orchestration and existing Intel fleets | Is a CPU-centric design sufficient, or is accelerator-dense training required? |
Public enterprise pricing was not established for these products. Cloud instance availability and prices vary by provider, region and configuration and require a current, provider-specific check.
Bottom line for investors
Intel’s confirmed loss of Kulkarni, combined with source reports that he was joining AMD, highlights the intensifying competition for AI-systems talent. It also arrives as Intel works through Gaudi adoption and a broader engineering reset while AMD expands Instinct, ROCm and large customer deployments. The defensible conclusion is narrower than “Intel loses, AMD wins”: AMD may gain useful product and systems experience, while the near-term business impact depends on execution, software, customer delivery and the quality of each company’s broader team.
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