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Outbyte PC Repair FREERepair Windows errors before they cause bigger problemsFix Now →Outbyte Driver Updater FREEScan for outdated or missing drivers - takes under a minuteDriver Scan →Nvidia CEO Jensen Huang said Dell was a key partner because reaching more businesses and government organizations required more than selling them AI chips. Dell could bring the storage, networking, computing and enterprise services needed to build and operate AI infrastructure. That was the logic behind Nvidia’s May 2024 push to take generative AI beyond the large cloud providers that Bloomberg described as its major customers at the time.
Why Dell mattered to Nvidia’s expansion strategy
In a Bloomberg Television interview during Dell Technologies World in Las Vegas on May 20, 2024, Huang said Nvidia wanted to make generative AI available to companies broadly: “We want to bring this generative AI capability to every company in the world,” Bloomberg News reported.
The challenge, in Huang’s account, was that businesses need more than accelerators. They need systems to store and move data, run computing workloads, deploy software and support the resulting infrastructure. Dell already served business and government buyers with those kinds of infrastructure needs. The partnership therefore gave Nvidia a route to customers it did not reach in the same way as Dell.
Bloomberg’s May 2024 report contrasted that opportunity with Nvidia’s reliance at the time on a relatively small group of hyperscale data-center customers. That is the contemporary context for Huang’s comments, not a current measure of Nvidia’s customer mix. Dell was intended to broaden access, not to replace cloud providers.
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Why the companies described it as a full-stack system
Huang framed the task as building complete infrastructure rather than supplying a single server or chip: “It’s not about just delivering a box – it’s about delivering an entire infrastructure. It’s an infrastructure that’s insanely complicated.” Bloomberg News attributed the statement to his interview at the event.
In its May 20, 2024 event announcement, Nvidia described the Dell AI Factory with Nvidia as combining compute, networking, storage, services and software for enterprise AI applications. The companies’ proposition was that these parts work together as infrastructure: an accelerator alone does not provide the surrounding systems and tools an organization needs to put AI workloads into operation.
This is the companies’ description of the offering, not independent evidence that it outperforms other approaches. An organization evaluating enterprise AI infrastructure would still need to assess its workloads, existing systems, deployment needs and support requirements.
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- NVIDIA Volta GV100 Architecture — 4,608 CUDA Cores, 640 1st-Gen Tensor Cores delivering 14 TFLOPS FP32 and 112 TFLOPS deep learning performance for AI training, inference, HPC, and scientific computing workloads
- 32GB HBM2 ECC Memory — 900 GB/s Bandwidth — High-bandwidth memory on a 4096-bit bus with ECC error correction provides the memory capacity and throughput required for the largest AI models, simulations, and datasets
- PCIe 3.0 x16 Interface — 250W TDP — Standard PCIe Gen3 connectivity with passive cooling designed for enterprise rack server deployment in HPE ProLiant, Dell PowerEdge, and Supermicro platforms with adequate chassis airflow
- NVLink — Scale to 96GB Unified Memory — Connect two V100 GPUs via NVLink at 300 GB/s bi-directional bandwidth to scale GPU memory from 32GB to 96GB for larger AI training and HPC workloads
- Multi-Precision Computing — Supports FP64 (7 TFLOPS), FP32 (14 TFLOPS), FP16 (112 TFLOPS) and INT8 precision modes for flexible deployment across training, inference, and scientific simulation workloads
What the companies announced in May 2024
Nvidia’s event account named several elements of the Dell AI Factory update. These are announcement details from May 2024; the source does not establish current pricing, stock or availability for the named server.
- Dell PowerEdge XE9680L: Nvidia described this liquid-cooled server as having eight Blackwell Tensor Core GPUs.
- Dell NativeEdge: The companies said NativeEdge automation would support delivery of Nvidia AI Enterprise software.
- Nvidia NIM: The announcement described integration of NIM inference microservices.
These details illustrate the intended breadth of the system: hardware for computing, software deployment and inference components, alongside Dell’s infrastructure capabilities. They are not benchmark results or independent validation of performance.
Speaking on stage with Dell CEO Michael Dell, Huang described the partnership as “literally from the ground up building AI factories and delivering it to the world’s enterprises as a solution,” according to Nvidia’s event account.
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- Professional GPU with Blackwell Architecture
- Blackwell Architecture
- 24GB GDDR7 with PCIe 5.0 & Ray Tracing
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What the partnership could—and could not—show
The strategic bet was that making AI infrastructure easier for companies and public organizations to obtain could broaden AI development and, in turn, demand for Nvidia products. Huang and Bloomberg described that rationale; it does not establish that the partnership led to particular adoption levels or revenue outcomes.
Nvidia’s Dell Technologies World 2026 event page continues to present the Dell AI Factory as a portfolio spanning desktop to data center, with customization for businesses. That current positioning does not verify the present availability, price or configuration of the XE9680L announced in 2024.
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