Lambda wins a cloud deal with Hudson River Trading to supply access to NVIDIA chips
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Lambda wins a cloud deal with Hudson River Trading to supply access to NVIDIA chips
Lambda signed a cloud-infrastructure deal with Hudson River Trading to provide access to NVIDIA chips. The agreement expands Lambda’s customer base within high-frequency trading as the company prepares for an IPO in the first half of 2026. Hudson River Trading joins a roster that already includes Microsoft and NVIDIA itself. Lambda’s existing Microsoft deal covers tens of thousands of NVIDIA GPUs, including GB300 NVL72 systems, and NVIDIA also leased back about 18,000 GPUs from Lambda under a $1.5 billion four-year arrangement. The HRT contract increases Lambda’s exposure to latency-sensitive GPU workloads that typically command higher pricing than model-training. HRT already runs an NVIDIA-based AI factory and has a Google Cloud arrangement for trading-simulation workloads, supporting a multi-vendor procurement approach to avoid capacity bottlenecks during a GPU allocation crunch.
"Lambda has signed a cloud-infrastructure deal with Hudson River Trading, one of the largest US quantitative trading firms, to supply HRT with access to NVIDIA chips, Reuters reported on Wednesday . The agreement extends Lambda's customer list across the high-frequency-trading category at a moment the GPU-cloud start-up is preparing for an IPO in the first half of 2026."
"The deal puts HRT on a Lambda customer roster that already includes Microsoft and NVIDIA itself. Lambda announced its multibillion-dollar Microsoft agreement in November 2025, covering tens of thousands of NVIDIA GPUs, including the GB300 NVL72 systems; NVIDIA separately signed a $1.5bn four-year deal to lease back roughly 18,000 of its own GPUs from Lambda, an arrangement that made NVIDIA the start-up's largest single customer."
"Layering an HRT contract on top of that base extends Lambda's exposure into the latency-sensitive segment of the GPU market, where customer pricing typically clears at a premium to model-training workloads. HRT's appetite for high-end NVIDIA capacity is not new. The firm has been running an NVIDIA-powered AI factory for its algorithmic-trading research, built on the Blackwell architecture and Spectrum-X networking, and has separately had a Google Cloud arrangement covering trading-simulation workloads since 2024."
"Adding Lambda as a third compute provider points to a multi-vendor procurement posture, calibrated to keep HRT's research workloads from being capacity-bottlenecked at any single hyperscaler during the current GPU-allocation crunch. The commercial logic on HRT's side fits its scale. The firm posted a record $6.4bn of quarterly trading revenue in the first quarter of 2026 , according to Bloomberg, on a full-year 2025 trading-revenue figure of $12.3bn."
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