Get 69% Off on Cloud Hosting : Claim Your Offer Now!
NVIDIA's GeForce RTX 50 series, introduced in early 2025, has set new benchmarks in the graphics card industry. Featuring the latest Blackwell architecture, these GPUs offer significant performance enhancements over their predecessors. For those considering a bulk purchase of 5,000 NVIDIA GPUs, understanding the specifications, pricing, and potential applications of each model is crucial.
The demand for high-performance GPUs has surged with the rise of advanced gaming, artificial intelligence (AI), and data-intensive applications. NVIDIA's RTX 50 series addresses these needs by offering cutting-edge technology and performance. This article explores the specifications and pricing of the RTX 5090, 5080, 5070 Ti, and 5070 models, providing insights for bulk procurement decisions.
The RTX 5090 stands as NVIDIA's flagship model, delivering unparalleled performance.
Specifications:
CUDA Cores: 21,760
Boost Clock: 2.41 GHz
Memory: 32 GB GDDR7
Memory Interface: 512-bit
Total Graphics Power (TGP): 575W
These specifications enable the RTX 5090 to handle the most demanding applications, from 4K gaming to complex AI computations.
Pricing:
Launch Price (INR): ₹2,14,000
Launch Price (USD): $1,999
For a bulk order of 5,000 units, the total investment would be approximately ₹1,070 crore or $9.995 million, subject to negotiations and potential bulk discounts.
The RTX 5080 offers a balance between performance and cost, making it suitable for high-end gaming and professional workloads.
Specifications:
CUDA Cores: 10,752
Boost Clock: 2.62 GHz
Memory: 16 GB GDDR7
Memory Interface: 256-bit
TGP: 360W
These features ensure robust performance for a variety of applications.
Pricing:
Launch Price (INR): ₹1,07,000
Launch Price (USD): $999T
Purchasing 5,000 units would amount to approximately ₹535 crore or $4.995 million, with potential for bulk purchase agreements.
The RTX 5070 Ti caters to mid-range users seeking high performance without the premium price tag.
Specifications:
CUDA Cores: 8,960
Boost Clock: 2.45 GHz
Memory: 16 GB GDDR7T
Memory Interface: 256-bit
TGP: 300W
This model is ideal for gaming and creative tasks requiring substantial graphical power.
Pricing:
Launch Price (INR): ₹80,000
Launch Price (USD): $749
A bulk purchase of 5,000 units would total approximately ₹400 crore or $3.745 million, with possible discounts for large orders.
The RTX 5070 provides an entry point into the RTX 50 series, offering solid performance for everyday computing and gaming.
Specifications:
CUDA Cores: 6,144
Boost Clock: 2.51 GHz
Memory: 12 GB GDDR7
Memory Interface: 192-bit
TGP: 250W
This GPU is suitable for users seeking reliable performance at a more accessible price point.
Pricing:
Launch Price (INR): ₹59,000
Launch Price (USD): $549
Ordering 5,000 units would cost approximately ₹295 crore or $2.745 million, with potential savings through bulk purchasing.
Acquiring 5,000 NVIDIA GPUs represents a substantial investment. Engaging directly with NVIDIA or authorized distributors is advisable to negotiate favorable terms. Factors such as warranty, support services, and delivery logistics should be considered to ensure a smooth procurement process.
NVIDIA's RTX 50 series offers a range of GPUs to meet diverse performance and budget requirements. Whether opting for the top-tier RTX 5090 or the more budget-friendly RTX 5070, each model provides significant advancements in graphics technology. Careful consideration of specifications, pricing, and application needs is essential when planning a bulk purchase of 5,000 units.
For businesses and individuals seeking cloud-based solutions, integrating these GPUs into services like Cyfuture Cloud can enhance computational capabilities, offering scalable and efficient hosting options. Leveraging such platforms ensures access to cutting-edge technology without the complexities of physical hardware management.
Investing in NVIDIA's RTX 50 series GPUs positions organizations to meet the growing demands of modern computing, from gaming to AI applications hosting, ensuring competitiveness in a rapidly
Let’s talk about the future, and make it happen!
By continuing to use and navigate this website, you are agreeing to the use of cookies.
Find out more