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What Amazon is reportedly considering
Reuters, citing a Financial Times report and people familiar with the matter, reported on October 2, 2026, that Amazon had spoken with investors in recent weeks to gauge interest in the proposed structure. According to Reuters, Amazon may also offer investors up to a 10% equity stake in the vehicle. The report describes the goal as making Amazon’s balance sheet more asset-light. These are reported proposal details, not confirmed final terms or published Amazon guidance. Reuters report syndicated by Fidelity, October 2, 2026.
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How the proposed structure would work
- Transfer: Amazon would move the chips into an SPV, a separate entity set up to hold assets and arrange financing.
- Raise funds: The SPV would seek debt funding from outside investors. The report also says Amazon may offer up to 10% equity in the vehicle.
- Lease back: Amazon would lease the chips from the SPV for continued use.
In a conventional ownership arrangement, Amazon would keep the chips as its assets; in direct borrowing, it would borrow without transferring ownership of the chips to a separate vehicle. The reported proposal combines an asset transfer with a leaseback, but does not disclose whether Amazon would retain an equity interest beyond a possible offer of up to 10%, or what contractual obligations the lease would create. The final ownership, investor roles, lease terms, and financial treatment are not established by the report.
Which chips and sites are involved?
The Reuters report describes the assets as thousands of Nvidia Grace Blackwell chips, bought or leased by Amazon and installed at more than a dozen U.S. data centers across five states, including Nevada and Virginia. It does not give an exact chip count or name all five states. It also does not establish that every site is an AWS facility, so the locations and site ownership should not be inferred beyond the report’s description. Reuters report syndicated by Fidelity, October 2, 2026.
#1 Best Overall
- ATTENTION BUYERS: EXPORTING this item outside the U.S. requires strict compliance with the Bureau of Industry and Security (BIS) U.S. Export Administration Regulations (EAR). Non-compliance carries fines up to $1 MILLION PER VIOLATION AND UP TO 20 YEARS IMPRISONMENT for both the buyer and seller. To uphold our regulatory obligations, we strictly follow BIS "Know Your Customer" guidance by screening each order and immediately aborting transactions showing unresolved regulatory red flags. ***
- [Double-Flow-Through Design] The RTX PRO 6000 Blackwell features a double-flow-through cooling design, optimizing efficiency and airflow to sustain peak performance under 600W power loads. | [5th Gen Tensor Cores] Deliver up to 3X the performance of the previous generation and support for FP4 precision for faster AI model processing times with reduced memory usage, enabling local fine-tuning of LLMs and generative AI | [4th Gen Ray Tracing Cores] Double the ray-triangle intersection rate of the previous generation to create photoreal, physically accurate scenes and immersive 3D designs with RTX Mega Geometry, which enables up to 100X more ray-traced triangles.
- [PCIe Gen 5] Support for PCIe Gen 5 provides double the bandwidth of PCIe Gen 4, improving data-transfer speeds from CPU memory and unlocking faster performance for data-intensive tasks like AI, data science, and 3D modeling. | [GDDR7 Memory] With 96 GB of GPU memory and 1.8 TB ps bandwidth, it can tackle massive 3D and AI projects, fine-tune AI models locally, explore large-scale VR environments, and drive larger multi-app workflows.
- [DisplayPort 2.1] Achieve unparalleled visual clarity and performance, driving high resolution displays at up to 8K at 240 Hz and 16K at 60 Hz. Increased bandwidth enables seamless multi-monitor setups while HDR and higher color depth support ensures superior color accuracy for precision work, such as video editing, 3D design, and live broadcasting.
- [NVIDIA Blackwell Streaming Multiprocessor] The new SM features increased processing throughput, and new neural shaders that integrate neural networks inside of programmable shaders | DLSS 4: Multi Frame Generation ensures ultra-smooth frame pacing for lifelike simulations. | [Universal MIG] Divide a single RTX PRO 6000 Blackwell into multiple isolated instances, each with dedicated resources, allowing for concurrent execution of multiple workloads, optimized GPU utilization, and secure isolation of different applications or users. [WARRANTY] 3 YR Manufacturer's Warranty. Bulk OEM Packaging. Retail Packaging is NOT included.
How this fits Amazon’s Nvidia expansion
The reported financing proposal is separate from Amazon’s public plan to expand its Nvidia infrastructure. In an August 26, 2026 announcement, Amazon and Nvidia said AWS plans to deploy two million additional Nvidia GPUs across its global infrastructure in 2027–2028. That is a company-announced deployment plan; it does not confirm the reported SPV proposal or explain how it would be financed. The announcement also covers AI factories, CPUs, networking, open models, data processing, and robotics. Amazon and Nvidia announcement, August 26, 2026.
In that broader partnership context, AWS CEO Matt Garman said, “Customers want the freedom to choose the best tools for their AI workloads, and they want confidence that everything works seamlessly together.” Nvidia CEO Jensen Huang said, “NVIDIA and AWS have built one of the great growth engines of the AI era, and demand is running ahead of every forecast.” Neither statement addresses the proposed financing structure. Amazon and Nvidia announcement, August 26, 2026.
Rank #2
- 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
Amazon’s own chips are a different business
Amazon CEO Andy Jassy has also discussed the growth and economics of Amazon’s in-house silicon business, which includes Trainium and Graviton. Those comments concern Amazon’s own chips, not the Nvidia Grace Blackwell assets described in the proposed transaction. Amazon’s published account of Jassy’s Q1 2026 earnings-call remarks said:
- Amazon’s chips business grew nearly 40% quarter over quarter in Q1, according to Jassy.
- Jassy said the business had an annual revenue run rate above $20 billion.
- He described about $50 billion in annual run rate as a hypothetical: what the business might generate if chips produced that year were sold to AWS and third parties. That was not reported actual revenue.
- Jassy said Trainium2 offered about 30% better price-performance than comparable GPUs.
These are statements published by Amazon and attributed to Jassy, not independently verified financial results. They do not establish why Amazon is considering the reported Nvidia-chip financing proposal or show that it needs to sell those chips. Amazon’s account of Jassy’s Q1 2026 comments.
Rank #3
- Professional GPU with Blackwell Architecture
- Blackwell Architecture
- 24GB GDDR7 with PCIe 5.0 & Ray Tracing
- AI Workstation
What remains unknown
The October 2 report does not establish whether Amazon has completed a transaction, or disclose a final asset valuation, debt interest rate or maturity, lease duration or payments, investor identities, exact chip counts, or accounting treatment. Amazon and Nvidia had not immediately responded to Reuters for comment outside regular business hours. Until the companies confirm a deal or more terms are reported, the $8 billion figure and proposed structure should be treated as exploratory reporting rather than a completed sale. Reuters report syndicated by Fidelity, October 2, 2026.
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