Menu

Gamers Rejoice as NVIDIA Launches its New GeForce RTX 30 Series

The News: SANTA CLARA, Calif., Sept. 01, 2020 (GLOBE NEWSWIRE) — NVIDIA today unveiled its GeForce RTX™ 30 Series GPUs, powered by the NVIDIA Ampere architecture, which delivers the greatest-ever generational leap in GeForce® history.

Smashing performance records, the GeForce RTX 3090, 3080 and 3070 GPUs offer up to 2x the performance and 1.9x the power efficiency over the previous Turing-based generation. The GPUs take advantage of the second generation of NVIDIA RTX™ — the world’s most powerful PC gaming platform — to provide unprecedented levels of real-time ray tracing and AI gaming. Read the full release from NVIDIA.

Analyst Take: Today NVIDIA made a comprehensive launch including 3 new GeForce RTX GPUs along with new software enhancements that are certain to excite the global gaming community.

I am expecting that AMD will be looking to answer to this in its next big Radeon reveal. NVIDIA, meanwhile, has been pushing the envelop in every area from enterprise datacenter to HPC to gaming, without so much as a hiccup (or so it seems). Today’s launch only pushed that narrative further as the company didn’t only replace its popular RTX 2080, but brought out the BFGPU (or so they call it), the RTX 3090.

NVIDIA’s 2nd Generation RTX is built on NVIDIA Ampere Architecture

this next series of GeForce is being built on  NVIDIA’s popular new Ampere architecture, employing  technologies that have come from over two decades of graphics R&D by the company. This includes (Per the company press release)

New streaming multiprocessors: The building block for the world’s fastest, most efficient GPU, delivering 2x the FP32 throughput of the previous generation, and 30 Shader-TFLOPS of processing power.

Second-gen RT Cores: New dedicated RT Cores deliver 2x the throughput of the previous generation, plus concurrent ray tracing and shading and compute, with 58 RT-TFLOPS of processing power.

Third-gen Tensor Cores: New dedicated Tensor Cores, with up to 2x the throughput of the previous generation, making it faster and more efficient to run AI-powered technologies, like NVIDIA DLSS, and 238 Tensor-TFLOPS of processing power.

NVIDIA RTX IO: Enables rapid GPU-based loading and game asset decompression, accelerating input/output performance by up to 100x compared with hard drives and traditional storage APIs. In conjunction with Microsoft’s new DirectStorage for Windows API,(1) RTX IO offloads dozens of CPU cores’ worth of work to the RTX GPU, improving frame rates and enabling near-instantaneous game loading.

World’s fastest graphics memory: NVIDIA has worked with Micron to create the world’s fastest discrete graphics memory for the RTX 30 Series, GDDR6X.(2) It provides data speeds of close to 1TB/s system memory bandwidth for graphics card applications, maximizing game and app performance.

Next-gen process technology: New 8N NVIDIA custom process from Samsung, which allows for higher transistor density and more efficiency.

Overall Impressions of the GeForce RTX 30 Launch. 

I believe that the new RTX 3000 series delivers eye-popping performance enhancements over the RTX 2000 series while also better leveraging NVIDIA’s broad software and peripherals ecosystem.

From the RTX 3090 to the flagship RTX 3080, we are seeing a push to best in class performance delivering 8K60 gaming for the 3090 to the PC to the near 2x performance of the RTX 3080 over its predecessor the RTX 2080, up-leveling the discrete gaming GPU.

I was also impressed with the new RTX IO and RTX Broadcast. I think that both are great ways for NVIDIA to leverage the power of the RTX 3000 series, which will enable NVIDIA to more effectively compete with AMD on next-gen consoles and graphics.

All in all, it was a very strong launch for NVIDIA. With the already high popularity of gaming being pushed exponentially by the Covid-19 Pandemic, NVIDIA is in a great position to continue to flex its proverbial muscles in the space. This new launch delivered gaming innovations through performance and experiential improvements and the excitement should almost certainly translate to revenue as these products hit the shelves.

I’m quite interested to see how AMD responds. I’m sure the continued competition will be a catalyst for continued innovation by both companies.

Read more analysis from Futurum Research:

Amazon Set to Invest $18 Billion in Small and Medium Business in 2020

Splunk’s Transformation: The Real Story Behind Its Earnings

Zoom Follows Blowout Quarter with Blowout Quarter

Image:  NVIDIA

 

Author Information

Daniel is the CEO of The Futurum Group. Living his life at the intersection of people and technology, Daniel works with the world’s largest technology brands exploring Digital Transformation and how it is influencing the enterprise.

From the leading edge of AI to global technology policy, Daniel makes the connections between business, people and tech that are required for companies to benefit most from their technology investments. Daniel is a top 5 globally ranked industry analyst and his ideas are regularly cited or shared in television appearances by CNBC, Bloomberg, Wall Street Journal and hundreds of other sites around the world.

A 7x Best-Selling Author including his most recent book “Human/Machine.” Daniel is also a Forbes and MarketWatch (Dow Jones) contributor.

An MBA and Former Graduate Adjunct Faculty, Daniel is an Austin Texas transplant after 40 years in Chicago. His speaking takes him around the world each year as he shares his vision of the role technology will play in our future.

Related Insights
Micron Technology Q1 FY 2026 Sets Records; Strong Q2 Outlook
December 18, 2025

Micron Technology Q1 FY 2026 Sets Records; Strong Q2 Outlook

Futurum Research analyzes Micron’s Q1 FY 2026, focusing on AI-led demand, HBM commitments, and a pulled-forward capacity roadmap, with guidance signaling continued strength into FY 2026 amid persistent industry supply...
NVIDIA Bolsters AI/HPC Ecosystem with Nemotron 3 Models and SchedMD Buy
December 16, 2025

NVIDIA Bolsters AI/HPC Ecosystem with Nemotron 3 Models and SchedMD Buy

Nick Patience, AI Platforms Practice Lead at Futurum, shares his insights on NVIDIA's release of its Nemotron 3 family of open-source models and the acquisition of SchedMD, the developer of...
Broadcom Q4 FY 2025 Earnings AI And Software Drive Beat
December 15, 2025

Broadcom Q4 FY 2025 Earnings: AI And Software Drive Beat

Futurum Research analyzes Broadcom’s Q4 FY 2025 results, highlighting accelerating AI semiconductor momentum, Ethernet AI switching backlog, and VMware Cloud Foundation gains, alongside system-level deliveries....
Synopsys Q4 FY 2025 Earnings Highlight Resilient Demand, Ansys Integration
December 12, 2025

Synopsys Q4 FY 2025 Earnings Highlight Resilient Demand, Ansys Integration

Futurum Research analyzes Synopsys’ Q4 FY 2025 results, highlighting AI-era EDA demand, Ansys integration momentum, and the NVIDIA partnership....
Hewlett Packard Enterprise Q4 FY 2025 ARR Surges as AI Orders Build
December 8, 2025

Hewlett Packard Enterprise Q4 FY 2025: ARR Surges as AI Orders Build

Futurum Research analyzes HPE’s Q4 FY 2025 results, highlighting networking-led margin resiliency, AI server order momentum, and GreenLake ARR growth....
AWS re:Invent 2025: Wrestling Back AI Leadership
December 5, 2025

AWS re:Invent 2025: Wrestling Back AI Leadership

Futurum analysts share their insights on how AWS re:Invent 2025 redefines the cloud giant as an AI manufacturer. We analyze Nova models, Trainium silicon, and AI Factories as AWS moves...

Book a Demo

Newsletter Sign-up Form

Get important insights straight to your inbox, receive first looks at eBooks, exclusive event invitations, custom content, and more. We promise not to spam you or sell your name to anyone. You can always unsubscribe at any time.

All fields are required






Thank you, we received your request, a member of our team will be in contact with you.