In a surprise twist for hardware enthusiasts, Nvidia’s unannounced "N1X" GPU has surfaced on Geekbench, revealing tantalizing specs that suggest a significant leap in compute performance. The listing, spotted early today, offers the first concrete glimpse at what could be Nvidia’s next-generation architecture targeting data centers or high-end workstations.
The Leaked Blueprint
According to the Geekbench OpenCL test result, the N1X features a massive 14,592 CUDA cores—nearly double the cores found in Nvidia’s current flagship data center GPU, the H100 (14,592 vs. 18,432 cores). The chip reportedly runs at a base clock of 1.43 GHz, with test frequencies hitting 2.18 GHz under load. It also packs 96 GB of HBM3 memory across a 4,096-bit bus, signaling a focus on memory-intensive AI and rendering workloads.
Performance metrics from the same test are staggering: the N1X scored 476,215 points in Geekbench 6’s OpenCL benchmark. For context, that’s roughly 2.4× faster than an RTX 4090 and 1.8× quicker than an H100 in the same test.
👉 Full Geekbench listing here:
https://browser.geekbench.com/v6/compute/4511635
Decoding the "N1X" Enigma
While Nvidia hasn’t acknowledged the chip’s existence, industry analysts speculate the N1X could be an early prototype of their upcoming "Blackwell" architecture, slated for 2025. The "N1X" identifier deviates from Nvidia’s consumer (e.g., "AD102" for RTX 40-series) and data center ("GH100" for H100) naming schemes, hinting at a specialized SKU—possibly for scientific computing or next-gen AI accelerators. The absence of RT/Tensor core counts in the listing further suggests this is a bare-metal compute card, not a gaming product.
Why This Matters
With AI workloads dominating tech investments, Nvidia appears poised to extend its data center dominance. The N1X’s leaked specs—especially its colossal memory bandwidth—could address growing demands for large language model (LLM) training and real-time simulation. If the Geekbench data holds, this chip might outperform even AMD’s rival MI300X accelerator in raw compute tasks.
Caveats and Context
Geekbench listings can be manipulated or represent engineering samples, so real-world performance may vary. That said, the test platform details (Linux, dual-socket system) align with typical enterprise environments. Nvidia’s silence is expected—the company rarely comments on unreleased hardware—but this leak strategically builds hype ahead of anticipated Blackwell announcements later this year.
The Bottom Line
While gamers shouldn’t expect an "RTX 5090" with these specs, the N1X leak underscores Nvidia’s relentless push into AI infrastructure. For researchers and cloud providers, this could herald a new tier of computational firepower. As always, we’ll be dissecting every clue until Nvidia lifts the curtain.
Stay tuned for updates as this story develops.
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