IBM Makes Surprise Move in Nvidia AI Race
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IBM Makes Surprise Move in Nvidia AI Race Moz Farooque ACCA Mon, August 17, 2026 at 8:18 AM EDT 2 min read IBM This article first appeared on GuruFocus . IBM ( NYSE:IBM ) is deepening its push into artificial-intelligence infrastructure with a $240 million multi-year deal to build a massive Nvidia-powered inference cluster for Together AI. The agreement gives IBM Cloud a high-profile AI workload while strengthening Nvidia's position in the fast-growing inference market, where companies are shifting from training models to running them at scale. Warning! GuruFocus has detected 6 Warning Signs with ORCL. Is IBM fairly valued? Test your thesis with our free DCF calculator. IBM generates revenue across software, consulting and infrastructure, with its cloud business supporting companies running workloads across hybrid environments. AI has become increasingly central to that strategy as IBM looks to combine infrastructure with higher-margin software and enterprise services. Under the agreement, IBM will deploy a large cluster of Nvidia HGX B300 systems on IBM Cloud, with availability expected in the first quarter of 2027. Together AI will use the capacity to provide open-source model inference to enterprise customers. The deployment will be IBM Cloud's first dedicated large-scale inference cluster built around HGX B300 systems and Nvidia Spectrum-X Ethernet networking. Nvidia 9NVDA) says the configuration can deliver 30 times more AI factory output than previous generations. The scale of Together AI's existing workloads makes the deal noteworthy. The company says its inference platform already processes about 400 trillion tokens monthly, while its broader platform covers training, fine-tuning and agentic AI workloads. For IBM, the contract arrives as its broader growth remains modest. Second-quarter revenue rose just 1% to $17.2 billion, while Infrastructure revenue fell 7%. However, Distributed Infrastructure grew 37%, highlighting stronger demand in areas tied to modern computing workloads. The key question is whether deals like Together AI can turn IBM Cloud into a meaningful beneficiary of the AI inference boom rather than simply adding expensive GPU capacity. Investors should watch utilization of the new cluster after its planned Q1 2027 launch, additional large AI-cloud customers and whether infrastructure growth accelerates. IBM currently expects full-year constant-currency revenue growth of 4% to 5% and free cash flow to increase by about $1 billion year over year. Higher utilization and more Nvidia-backed contracts would strengthen IBM's AI infrastructure case. Weak customer economics or underused GPU capacity would make the capital intensity much harder to justify.
AI 시장 분석
IBM has partnered with Together AI through a $240 million contract to build NVIDIA-based AI infrastructure. This collaboration will strengthen IBM Cloud's market position and increase NVIDIA's share in the inference market. Investors should closely monitor future GPU utilization rates and the acquisition of additional large enterprise clients.
상승 영향
- AI — IBM is investing $240 million to build a large-scale AI inference cluster based on NVIDIA HGX B300, which will rapidly increase demand for related infrastructure.
DYAX 전담 분석
IBM is investing $240 million to build a large-scale inference cluster based on the NVIDIA HGX B300 system on IBM Cloud. This will offset declining infrastructure revenues, accelerate high-margin software and enterprise service strategies, and positively impact corporate earnings.
The bullish scenario involves accelerated growth in the infrastructure segment driven by surging cluster utilization rates, while the bearish scenario entails intensified cost pressures from over-investing in GPUs. Investors should pay attention to actual utilization metrics following the rollout in Q1 2027.
AI가 생성한 분석으로 투자 자문이 아닙니다.
DYAX Investor Sentiment
Bullish (Long) 39% · Bearish (Short) 61%
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