Company: BTBT
Filing Date: 2025-07-03
Form Type: S-8 POS
Source: 0001213900-25-061371
Chunk: 12

Company: Bit Digital, Inc
Filing Date: 2025-07-03
Form: S-8 POS
Chunk 12
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 the 12 months ended December 31, 2024 and 2023, was $45.7 million and $0, respectively. As of May 31, 2025, WhiteFiber
had approximately 3,600 NVIDIA GPUs deployed.

The digital asset business segment of the
Digital Infrastructure Business (the “Digital Asset Business Segment”) is comprised primarily of two distinct but highly
complementary operations: (i) a digital asset platform focused on Ethereum-native treasury and staking strategies; and (ii) digital
asset mining (the “Digital Asset Mining Operations”).

Cloud Services

We provide specialized cloud services to support
generative AI workstreams, especially training and inference, emphasizing cost-effective utility and tailor-made solutions for each client.
We are an authorized NVIDIA Cloud Partner (“NCP”) through NVIDIA Partner Network (“NPN”), an authorized partner
with SuperMicro Computer Inc., an authorized Communications Service Provider (“CSP”) with Dell (through Dell’s
exclusive distributor in Iceland, Advania), an official partnership with Hewlett Packard Enterprise and a commercial relationship with
Quanta Computer, Inc. (“QCT”). Based on management’s knowledge of the industry, we are proud to be among the first service
providers to offer H200, B200, and GB200 servers. We provide a high-standard service level with an Uptime Percentage* ≥ 99.5%.

The economics of our cloud services business have
historically driven attractive returns. The implied per unit capex for high performance GPUs currently ranges from approximately $41,000
for an NVIDIA H200 to approximately $50,000 for an NVIDIA B200 (Blackwell generation) GPU.

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We are actively engaged in research and development
efforts to enhance our cloud services capabilities for our customers which are expected to be implemented in the third quarter of 2025.
For example, we are developing integrated software to automate layering of stacks and self-service portals on top of the cross-data center
fabric, allowing our customers to access GPU or CPU nodes on demand—no matter where they physically reside. This provides significant
flexibility as scaling is required to accelerate development of AI applications. In addition, we are working on advanced interconnect
technologies like InfiniBand (IB) or RDMA over Converged Ethernet (“RoCE”). When combined with cross-data center links, these
ensure that training jobs can be distributed without bottlenecks or high latency. By emphasizing scale, performance,