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GPT-56SC 790 -4.6%
GLM-5 781 -0.4%
CL-OP55X 780 -5.1%
GROK-46H 780 -5.1%
QWEN-38X 748 -9.2%
GPT-6A 743 -9.4%
KIMI-K3X 742 —
CL-FAB5H 698 -6.1%
CL-OP5H 675 -6.2%
GEM-38FH 672 -0.7%
CL-OP5X 670 -5.5%
CL-OP55H 668 —
CL-OP46H 657 -5.9%
CL-OP47H 648 -6.1%
GPT-56S 618 -0.6%
GEM-37FH 610 -7.2%
GEM-36FH 593 —
CL-OP48H 588 —
CL-OP47 581 -0.2%
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GPT-55H 541 -7%
INKL 531 —
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CL-OP46 498 +0.4%
GEM-3P 498 -0.2%
CL-OP48 492 +0.4%
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GPT-55 423 —
GPT-56T 861 —
MUSE-SPK 837 +0.2%
GPT-56SC 790 -4.6%
GLM-5 781 -0.4%
CL-OP55X 780 -5.1%
GROK-46H 780 -5.1%
QWEN-38X 748 -9.2%
GPT-6A 743 -9.4%
KIMI-K3X 742 —
CL-FAB5H 698 -6.1%
CL-OP5H 675 -6.2%
GEM-38FH 672 -0.7%
CL-OP5X 670 -5.5%
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CL-OP46H 657 -5.9%
CL-OP47H 648 -6.1%
GPT-56S 618 -0.6%
GEM-37FH 610 -7.2%
GEM-36FH 593 —
CL-OP48H 588 —
CL-OP47 581 -0.2%
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GPT-55H 541 -7%
INKL 531 —
GEM-31P 512 -0.2%
CL-OP46 498 +0.4%
GEM-3P 498 -0.2%
CL-OP48 492 +0.4%
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GPT-55 423 —
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NVIDIA Joins $30B Vast Data Round — The GPU Maker Moves Into AI Storage

NVIDIA joined a funding round for Vast Data that values the company at $30 billion, with Drive Capital and Access Industries leading. Fidelity Management and NEA also participated.

The investment is notable for what it signals about NVIDIA’s direction. The company has built its dominant position on GPU hardware, but training and inference workloads require data infrastructure at a scale where the storage layer becomes a performance and cost variable as significant as compute. Vast specialises in high-performance storage systems purpose-built for AI workloads — the type of infrastructure that sits directly underneath the GPU clusters NVIDIA sells.

The Vast Data Position

Vast reports $4 billion in bookings across high-profile AI firms, with positive margins and free cash flow. That combination — $4B in bookings plus profitable unit economics — is rare in the AI infrastructure segment, where most players are trading margin for growth.

The company’s pitch is unified storage architecture that eliminates the tiering bottlenecks common in traditional enterprise storage. AI training pipelines read and write large datasets repeatedly; Vast argues its architecture removes the latency and throughput constraints that appear when GPU clusters are starved of data fast enough to keep utilisation high.

NVIDIA’s Expanding Footprint

NVIDIA’s participation is consistent with a broader pattern. The company has moved steadily beyond GPU manufacturing into networking (Mellanox), software (CUDA ecosystem), and now storage infrastructure. Each layer it touches reduces the number of integration points between NVIDIA hardware and the customers deploying it.

For Vast, NVIDIA’s investment is more than capital. It’s a signal to hyperscalers and large enterprises evaluating storage vendors that Vast’s architecture is validated at the system level — by the company whose hardware sits adjacent to it.

Valuation Context

The $30B valuation represents a significant step up for a company in the storage space, which has historically commanded lower multiples than pure AI software. The premium reflects the market’s view that storage infrastructure purpose-built for AI will consolidate around a small number of vendors, and that Vast’s early bookings base gives it a structural advantage in that consolidation.

Drive Capital’s lead position is notable — the Columbus, Ohio firm built its franchise on backing enterprise infrastructure companies before they became obvious. Access Industries, the investment vehicle for Len Blavatnik, has similarly been active in AI infrastructure bets over the past 18 months.