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Special Report
GPU Prices Are Surging—3 Ways to Play the AI Chip ShortageWritten by Thomas Hughes. Publication Date: 4/14/2026. 
Key Points
- GPU rental pricing is surging as capacity limits cap supply, and demand continues to grow.
- GPU-as-a-Service providers are well-positioned in this environment, but are not the only ones to benefit.
- GPU and memory makers are also poised to see their revenue and earnings spike.
- Special Report: Elon’s “Hidden” Company
Whether this is an AI bubble or not, demand trends suggest it keeps growing with no end in sight. The news in early April is that GPU rental prices are skyrocketing, underpinning a robust outlook for GPU-as-a-Service providers. The group spans a diverse array of businesses with one thing in common: they all own or have access to NVIDIA (NASDAQ: NVDA) AI-capable GPU clusters at scale, rent them out on an on-demand or long-term basis, and benefit from a dynamic pricing model. Dynamic pricing here means demand and supply align to create pricing power. For investors, that pricing power translates into a stronger revenue and earnings outlook—factors that push stock prices higher. Reports show H100 and H200 pricing rose about 40% as of March, while pricing for newer Blackwell and upcoming Vera Rubin models increased by 50% or more as of April. Demand is so strong that operators are increasingly favoring longer-term, highly visible contracts over short-term on-demand business, allowing them to tap capital markets, invest in growth, and expand capacity.
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Demand pressure is clear. Reports indicate major AI labs and hyperscalers have delayed deployments because of capacity constraints, reinforcing a strong outlook for data centers, GPUs, and the GPU-as-a-Service industry. The primary bottleneck involves training capacity: persistent shortages—especially of high-bandwidth memory (HBM) used in both training and inference—are impairing the development of large models. HBM is the core constraint, since each GPU requires multiple HBM stacks and each stack uses many chips. Although HBM capacity is ramping, meaningful relief is not expected until well into 2027. Play #1: Memory Chip MakersMemory sits at the center of the GPU shortage, and Micron (NASDAQ: MU) is among the best positioned. Its HBM modules are widely regarded as top-tier—possibly the best—for AI modeling and inference, and the company is well along with expansion plans. Micron has several projects underway to improve its supply chain and bolster its domestic footprint, many of which are expected to come online in 2027 and later. In the meantime, revenue and earnings are growing rapidly, and estimates are rising, supported by tight supply and higher pricing; Micron is reportedly sold out of HBM through 2027. 
Analyst sentiment on Micron is solid. MarketBeat tracks 37 analysts—enough for a high-conviction rating—and consensus is Buy. About 90% of ratings are Buy or better, reflecting broad conviction. The consensus price target implied only about 10% upside as of mid-April, but more recent targets point to at least 20% upside from the key resistance level near $450. Play #2: GPU Chip Makers (That Aren’t NVIDIA)NVIDIA is well positioned to capture much of the near-term demand, but it may not be the only beneficiary. Advanced Micro Devices (NASDAQ: AMD) has historically trailed NVIDIA, yet it is poised to roll out a new product line that includes rack-scale solutions and the software stack to run them. AMD’s more open system is designed to compete with NVIDIA’s CUDA and could help the company gain data-center share. Its chips are viewed as advantaged for inference and are expected to deliver material cost savings, which could lead to rapid sell-through and lift the broader data center and GPU-as-a-Service markets over time. 
Customers announced for MI450 products include Meta Platforms (NASDAQ: META), OpenAI, and Oracle (NASDAQ: ORCL). Each plans to use the GPUs to power high-capacity, high-performance computing centers for AI development and inference. Analysts are bullish, expecting revenue growth to accelerate sequentially over the next four to six quarters and raising price targets ahead of AMD’s fiscal Q2 2026 results. MarketBeat data shows 40 analysts covering AMD, a Moderate Buy consensus, and potential upside in the 20%–55% range. Play #3: GPU-as-a-Service ProvidersGPU-as-a-Service providers are clear beneficiaries, as rising rental pricing directly boosts revenue and earnings. Names to watch include CoreWeave (NASDAQ: CRWV), Applied Digital (NASDAQ: APLD), Nebius Group (NASDAQ: NBIS), and IREN Limited (NASDAQ: IREN). Each company has different strengths, but CoreWeave may be the best-positioned with more than 30 data centers across the U.S. and EU. 
The primary challenge for these companies is the capital-intensive buildout, which is already underway. For investors, the main risk is how those buildouts are financed—often with debt and dilution. That said, some indicators mitigate the risk, notably swelling backlogs. Nebius Group illustrates this dynamic: its total liabilities may approach $8 billion in 2026, but it is supported by a backlog exceeding $45 billion, which should help underwrite future revenue. |
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