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Alpha Compute Corp acquires or leases NVIDIA GPUs and places them in third-party data centers so customers can train AI models, run them and conduct research. Customers pay contracted rates for dedicated access to GPU clusters. Its first large-scale deployment, ALPHA-01 in Canada, is operational and leased to a single frontier AI research laboratory. A small number of customers accounts for a significant share of revenue, making customer usage and contract renewals important to the business.
The company also supplies GPUs to Telegram’s Cocoon AI protocol, using software developed with partners to process confidential AI workloads. It earns TON tokens from this activity and generally uses them to pay for computing infrastructure rather than keep them as investments. Separately, it retains TON holdings from its former digital-asset treasury focus; a substantial portion cannot be sold or used to raise cash until vesting restrictions expire.
The business has generated only limited revenue so far and still needs additional financing to fund operations and equipment. Its service depends on NVIDIA and other hardware suppliers, and on data-center operators for power, cooling and connectivity. Export controls may restrict which hardware it can obtain, where it can deploy it and which services it can provide.
The risk section is the longest, dullest part of the filing. This keeps only what can really hurt you: where it hits, how hard, when it plays out.
Every company claims an edge. Each one is checked against hard numbers like margins and returns: which hold, and which line gives way first.
Alpha Compute’s results hinge on GPU lease utilization and its concentrated research-laboratory contract, while Telegram’s Cocoon protocol offers an additional outlet for confidential AI computing.
Axe Compute Inc. competes with Alpha Compute for enterprises and AI developers paying to reserve GPU capacity under multi-year contracts. Watch its reserved-capacity revenue and GPU-hour pricing, rather than its drug-discovery business, for the closer comparison with Alpha Compute’s lease revenue.
WhiteFiber, Inc. competes with Alpha Compute to sell GPU computing for AI training and inference to enterprise and machine-learning customers. Its owned data centers also supply power and infrastructure to its cloud services, so watch how that integrated model affects cloud-service margins.
Alpha Compute depends on NVIDIA’s GPUs to provide the AI capacity its customers lease, so NVIDIA’s hardware availability, pricing and product transitions matter to expansion costs and timing. Watch supply and delivery news for data-center GPUs, including the B200 used in ALPHA-01.
Bit Digital, Inc. competes with Alpha Compute through WhiteFiber, which sells cloud GPU services for enterprise, research and AI workloads. WhiteFiber’s cloud GPU revenue is the relevant comparison with Alpha Compute’s leased compute capacity, distinct from its data-center hosting and colocation revenue.
HIVE Digital Technologies Ltd. and Alpha Compute compete to sell AI computing capacity from facilities with access to renewable power. Watch HIVE’s conversion of mining facilities into enterprise-grade AI data centers, rather than payments from mining pools, for the expansion most relevant to Alpha Compute.
Bitdeer Technologies Group overlaps with Alpha Compute in selling AI infrastructure and cloud computing services, but also runs substantial mining operations. Its AI cloud business is the closer comparison with Alpha Compute’s GPU rentals; self-mining revenue comes from mining cryptocurrency for its own account.
Microsoft’s Azure competes with Alpha Compute for enterprises paying for cloud capacity to run AI workloads. Microsoft says its large data centers lower computing costs per unit and pooled demand improves utilization—advantages to watch when comparing Azure with Alpha Compute’s dedicated GPU leases.
Amazon’s AWS competes with Alpha Compute to supply paid cloud computing infrastructure to AI and enterprise customers. Watch AWS rather than Amazon’s retail business: Alpha Compute identifies competitive pricing and specialized services as important to keeping customers against larger cloud providers.
Alphabet’s Google Cloud competes with Alpha Compute for customers paying for cloud infrastructure to run AI workloads. Google Cloud is the relevant business to watch, not Google’s advertising revenue or Alphabet’s centralized frontier-model research.
TeraWulf Inc. and Alpha Compute both depend on spending on AI computing, but enterprises and hyperscalers pay TeraWulf for data-center hosting infrastructure while Alpha Compute rents out GPU capacity. Watch delivery of TeraWulf’s contracted AI data-center capacity for a view of infrastructure spending, not a direct comparison of GPU lease rates.
Cipher Digital and Alpha Compute both depend on AI infrastructure investment: Cipher develops data-center facilities for hyperscaler tenants, while Alpha Compute rents GPU clusters to compute customers. Watch Cipher’s power connections and development of facilities for those tenants; through December 31, 2025, its revenue still came from bitcoin mining.
Core Scientific and Alpha Compute both have exposure to AI infrastructure demand: Core Scientific provides facilities and power for customers’ equipment, while Alpha Compute sells access to GPU capacity housed in data centers. Watch Core Scientific’s development and repurposing of facilities for AI and high-density colocation, rather than its own digital-asset mining.
Core Scientific, Inc. earningsCORZ
Core Scientific's report will show whether data-center sites are being converted for AI computing, a signal about the facilities and power Alpha Compute needs to run its GPU clusters.
Watch Core Scientific's progress developing or repurposing facilities for AI, not its own digital-asset mining. Advancing projects would signal that more sites and power may be coming online for high-density computing, giving Alpha Compute more room to expand GPU clusters. Delays or stalled projects would suggest facility supply is not keeping pace, leaving deployments exposed to site and power constraints.
Axe Compute Inc. earningsAGPU
Axe Compute Inc.'s report will show how revenue from reserved GPU capacity and GPU-hour pricing are changing, a close read on the competition Alpha Compute faces for similar leases.
Read reserved-capacity revenue together with GPU-hour pricing; the two companies' reported amounts may not use comparable definitions. Growing revenue with steady pricing would show customers paying to reserve capacity and suggest less pressure on Alpha Compute's lease rates. Weaker revenue or falling prices would point to competition for similar customers putting those rates under pressure.
Nvidia Corp earningsNVDA
NVIDIA's report will offer clues about data-center GPU supply and product transitions, which affect how quickly and at what cost Alpha Compute can expand capacity.
Watch disclosures on data-center GPU supply, delivery and product transitions, including the B200 generation used in ALPHA-01. Reliable supply and manageable transitions would make it easier for Alpha Compute to add GPUs and expand leased capacity on schedule. Constrained deliveries, higher costs or rapid product changes could delay deployment, raise upfront spending and leave equipment taking longer to earn revenue.
Alpha Compute Corp earningsThis company
Alpha Compute Corp's report will show whether revenue from its ALPHA-01 GPU lease is beginning to cover operating costs and cash use.
Read reported compute revenue alongside operating costs and cash used in operations, using ALPHA-01's $16.1 million in annual contracted revenue as context—not as revenue guaranteed to be recognized in the period. Rising revenue with controlled cash use would show the GPU lease model turning into operating business; little revenue against heavy cash use would show the contract is not yet carrying costs and expansion still depends on outside funding.
