AMD Ryzen 7 7700X3D Desktop Processor Launched – 8-Core Zen 4 with 3D V-Cache, 96MB L3 Cache, AM5 Socket

AMD has launched the Ryzen 7 7700X3D desktop processor, with a US pre-order price of $329.00. The chip carries a launch date of July 16, 2026, and slots into AMD’s Ryzen 7000 series lineup for the AM5 platform.

Key highlights include AMD 3D V-Cache technology, an 8-core/16-thread Zen 4 architecture, a 96MB L3 cache, and a boost clock of up to 4.5GHz.

Pricing & Availability

ModelLaunch PriceRegion
AMD Ryzen 7 7700X3D$329.00 (Pre-Order)United States

What We Like About the AMD Ryzen 7 7700X3D

  • 96MB of L3 cache via 3D V-Cache — a large on-package cache pool built for latency-sensitive workloads like gaming
  • 8 cores / 16 threads on Zen 4 — full SMT support at a 120W default TDP
  • AM5 socket with DDR5 and PCIe 5.0 support — fits into the existing Ryzen 7000/9000-series motherboard ecosystem
  • AMD EXPO memory overclocking support — paired with Precision Boost Overdrive and Curve Optimizer voltage offsets for tuning
  • Native PCIe 5.0 NVMe support — includes Boot, RAID0, RAID1, and RAID10 configurations

Architecture and Cache

The Ryzen 7 7700X3D is built on the Zen 4 architecture, codenamed Raphael AM5, and pairs an 8-core, 16-thread CPU compute die with AMD’s 3D V-Cache stacking. Base clock sits at 4GHz, with boost reaching up to 4.5GHz.

Cache is split across three tiers: 512KB of L1, 8MB of L2, and a 96MB L3 cache — the last of these expanded by the 3D V-Cache die stacked on top of the CPU compute complex. The compute die measures 71mm² and is fabricated on TSMC’s 5nm FinFET process, while the I/O die measures 122mm² on TSMC’s 6nm FinFET process. Default TDP is rated at 120W, and AMD recommends a liquid cooler for optimal performance given the processor’s maximum operating temperature (Tjmax) of 89°C.

Platform and Memory Support

The processor uses the AM5 socket, compatible with A620, X670E, X670, B650E, B650, X870E, X870, B840, and B850 chipsets. It supports DDR5 UDIMM memory across two channels, with a maximum capacity of 128GB and ECC support where the motherboard allows it. Memory speed tops out at DDR5-5200 in single-rank dual-DIMM configurations, or DDR5-3600 across four DIMMs.

Connectivity runs through PCIe 5.0, with 28 total lanes (24 usable). Native USB support includes four USB 3.2 Gen 2 (10Gbps) ports and one USB 2.0 port. Integrated graphics come from AMD Radeon Graphics with two graphics cores clocked at 2200MHz, and the chip supports USB Type-C DisplayPort Alternate Mode.

Overclocking and Tuning Features

AMD includes AMD EXPO memory overclocking technology, Precision Boost Overdrive, and Curve Optimizer voltage offsets on the Ryzen 7 7700X3D, along with support for AMD Ryzen Master software. Boost behavior is managed through Precision Boost 2.

Security Features

The processor includes a broad set of platform security features: AMD Secure Processor, AMD Platform Secure Boot, UEFI Secure Boot, Windows Secured-Core PC support, firmware TPM, AMD-V (SVM) virtualization, AMD-Vi I/O MMU virtualization, Second Level Address Translation (SLAT), AES-NI, and AMD Shadow Stack.

AMD Ryzen 7 7700X3D Specifications / Technical Details

SpecificationDetails
NameAMD Ryzen 7 7700X3D
Family / SeriesRyzen / Ryzen 7000 Series
ArchitectureZen 4 (Raphael AM5)
CPU Cores / Threads8 / 16
Base Clock4 GHz
Max. Boost ClockUp to 4.5 GHz
L1 / L2 / L3 Cache512 KB / 8 MB / 96 MB
Default TDP120W
Process (CPU Die / I/O Die)TSMC 5nm FinFET / TSMC 6nm FinFET
CCD / IOD Die Size71mm² / 122mm²
SocketAM5
Supporting ChipsetsA620, X670E, X670, B650E, B650, X870E, X870, B840, B850
Memory SupportDDR5 UDIMM, 2 channels, up to 128GB
Max Memory SpeedDDR5-5200 (2x1R/2x2R), DDR5-3600 (4x1R/4x2R)
ECC SupportYes (requires motherboard support)
PCIe VersionPCIe 5.0 (28 total / 24 usable lanes)
Integrated GraphicsAMD Radeon Graphics, 2 cores, 2200 MHz
USB4x USB 3.2 Gen 2 (10Gbps), 1x USB 2.0
AMD EXPO SupportYes
Recommended CoolerLiquid cooler recommended
Max Operating Temp (Tjmax)89°C
OS SupportWindows 11, Windows 10 (64-bit), RHEL x86 64-bit, Ubuntu x86 64-bit
Launch Date07/16/2026
Product ID (Boxed)100-100002235WOF
Product ID (Tray)100-000002235

AMD Ryzen 7 7700X3D vs AMD Ryzen 7 7700X

AMD’s existing Ryzen 7 7700X, launched in September 2022, shares the same 8-core/16-thread Zen 4 layout and AM5 socket but skips 3D V-Cache in favor of a higher clock ceiling. Here’s how the two compare:

FeatureRyzen 7 7700X3DRyzen 7 7700X
ArchitectureZen 4Zen 4
Cores / Threads8 / 168 / 16
Base Clock4 GHz4.5 GHz
Max. Boost ClockUp to 4.5 GHzUp to 5.4 GHz
L3 Cache96 MB32 MB
Total Cache104.5 MB36.5 MB
Default TDP120W105W
Unlocked for OverclockingNot listedYes
Recommended CoolerLiquid coolerPremium air cooler
Max Operating Temp (Tjmax)89°C95°C
Launch Date07/16/202609/27/2022
Launch Price$329.00

The Ryzen 7 7700X’s higher boost clock and standard air-cooling headroom sit against the 7700X3D’s much larger L3 cache from 3D V-Cache stacking — the two chips trade clock speed for cache size within the same core and thread count.

Frequently Asked Questions

What is the AMD Ryzen 7 7700X3D price in the US?

It’s available for pre-order at $329.00, with a launch date of July 16, 2026.

How many cores and threads does the AMD Ryzen 7 7700X3D have?

It has 8 cores and 16 threads, built on AMD’s Zen 4 architecture.

What socket does the AMD Ryzen 7 7700X3D use?

It uses the AM5 socket, compatible with chipsets including X670E, X670, B650E, B650, X870E, X870, B840, B850, and A620.

How does the AMD Ryzen 7 7700X3D differ from the Ryzen 7 7700X?

The 7700X3D trades clock speed for cache — it tops out at 4.5GHz boost versus 5.4GHz on the 7700X, but carries 96MB of L3 cache from 3D V-Cache stacking compared to 32MB on the non-3D variant.

Does the AMD Ryzen 7 7700X3D support DDR5 memory?

Yes, it supports DDR5 UDIMM memory across two channels, up to 128GB, with speeds up to DDR5-5200 depending on configuration.

What cooler does AMD recommend for the Ryzen 7 7700X3D?

AMD recommends a liquid cooler for optimal performance. The processor ships without an included thermal solution.

Note: Specifications listed above are based on AMD’s official product page and may not be 100% accurate. Please visit the official AMD website to verify complete and up-to-date specifications and regional pricing before making a purchase decision.

Disclaimer: This post summarizes an AMD product launch for informational purposes. It is not affiliated with or endorsed by AMD.

NVIDIA’s Vera CPU for AI Agents — 1.8x Faster Than x86, 88 Olympus Cores, Adopted by Anthropic, OpenAI, Oracle Cloud, Dell, HPE, and More

NVIDIA has unveiled Vera, its first CPU built specifically for AI agents. Now in full production, Vera is a new class of processor designed to handle the CPU-side workloads that modern AI factories generate — agentic task execution, reinforcement learning, code compilation, Python and Java runtimes, and data processing pipelines. The announcement was made at NVIDIA GTC Taipei.

Key capabilities include 1.8x faster task completion compared with x86 CPUs, a custom Olympus CPU core engineered for AI factory workloads, 88 cores with Spatial Multithreading, and up to 1.2TB/s of LPDDR5X memory bandwidth. Vera also serves as the host CPU for NVIDIA’s Vera Rubin GPU platforms via second-generation NVLink-C2C, delivering up to 1.8TB/s of coherent CPU-to-GPU bandwidth.

NVIDIA positions Vera as the successor to its Grace CPU line, which has shipped nearly 2.5 million units to date. The shift in AI factory economics — from cores per dollar to tokens per dollar — is driving the need for CPUs that can complete orchestration, tool use, and sandbox execution faster and at greater concurrency.

Olympus Core — NVIDIA’s Custom CPU Architecture

At the heart of Vera is Olympus, a custom CPU core NVIDIA engineered specifically for the workloads that sit on the critical path of AI agent execution. These include Python runtimes, sandboxed code execution, orchestration logic, and analytics pipelines — the steps that happen between GPU kernel calls and determine how quickly agents can complete tasks.

Vera features 88 Olympus cores paired with Spatial Multithreading, a technique for processing more instructions across large numbers of concurrent environments, queries, and data processing tasks simultaneously. The LPDDR5X memory subsystem delivers up to 1.2TB/s of bandwidth, reducing the time agents spend waiting on CPU-bound steps and keeping accelerators active.

According to benchmarks from Phoronix, Vera delivered the fastest overall performance across agentic workloads — including code compilation, Python, Java, and database processing — compared with competing processors tested.

Vera in the AI Factory — From Standalone Servers to GPU-Coupled Systems

Vera is designed to run across the entire AI factory stack, not just in one configuration. It powers three distinct system types:

  • Standalone Vera CPU servers — standard CPU-only configurations for data processing, orchestration, and agentic AI workloads, offered by Dell Technologies, HPE, Lenovo, and Supermicro as an alternative to x86
  • NVIDIA Vera Rubin systems — Vera serves as the host CPU tightly coupled to Rubin GPUs via second-generation NVLink-C2C, providing up to 1.8TB/s of coherent bandwidth between processor and GPU
  • NVIDIA Vera BlueField-4 STX — integrates Vera with high-performance networking, storage acceleration, and in-silicon security for AI-native storage platforms

Vera also extends NVIDIA Confidential Computing at rack scale, protecting agentic workloads end-to-end across the data center.

Deployment Plans — AI Labs, Hyperscalers, and NYSE

A broad set of customers are planning to adopt Vera for production workloads.

Anthropic, the company behind Claude, is evaluating Vera for CPU-intensive agentic workloads. James Bradbury, head of compute at Anthropic, noted that scaling compute is an important accelerant for model growth and called Vera a promising part of the ecosystem for agentic workloads.

Oracle Cloud Infrastructure is planning to deploy Vera CPUs to support high-throughput reasoning and data processing across next-generation AI environments. Mahesh Thiagarajan, EVP of OCI, described it as the next frontier in hyperscale AI supercomputing.

NYSE is collaborating with Redpanda and HPE to use Vera CPUs to scale capacity and further optimize latency across its market infrastructure, which processes more than 1.1 trillion messages per day.

Other customers exploring or planning to deploy Vera include OpenAI, SpaceXAI, ByteDance, CoreWeave, Lambda, Nebius, Nscale, and Cloudflare, among others.

System Builders and Cloud Providers

Vera CPUs are available in two form factors: dense, liquid-cooled racks for large-scale agentic AI and reinforcement learning environments, and flexible two-socket air-cooled systems for enterprise, cloud, data processing, and AI factory deployments.

Infrastructure providers building Vera-based systems include Aivres, ASRock Rack, ASUS, Compal, Dell Technologies, Foxconn, GIGABYTE, HPE, Hyve Solutions, Inventec, Lenovo, MiTAC Computing, MSI, Pegatron, Quanta Cloud Technology (QCT), Supermicro, Wistron, and Wiwynn.

Cloud service providers planning to offer Vera CPU capacity include Akamai, ByteDance, Cloudflare, CoreWeave, Crusoe, Lambda, Nebius, Nscale, Oracle Cloud Infrastructure, Redpanda, Starburst, Together AI, and Vultr.

Rollout Timing — What’s Live When

PhaseWhenScope
ProductionNow (announced at GTC Taipei 2026)Vera CPU in full production
System availabilityFall 2026Vera-based servers from system builders and cloud partners

FAQ / Common Questions

What is NVIDIA Vera and what does it do?
Vera is NVIDIA’s first CPU designed specifically for AI agent workloads. It handles the CPU-intensive tasks in AI factories — orchestration, code execution, Python and Java runtimes, data processing — and is built to complete these steps 1.8x faster than x86 processors, keeping GPU accelerators busy and improving agent throughput.

What makes Vera different from NVIDIA’s Grace CPU?
Vera is built on Olympus, a new custom CPU core NVIDIA engineered from the ground up for AI agent execution. Grace focused on general high-performance computing in data centers; Vera targets the token-per-dollar economics of AI factories, with Spatial Multithreading and LPDDR5X memory bandwidth optimized for concurrent agent environments.

Which companies are planning to use NVIDIA Vera?
AI labs including Anthropic, OpenAI, and SpaceXAI are evaluating or planning to adopt Vera. Hyperscalers ByteDance, CoreWeave, Lambda, Nebius, Nscale, and Oracle Cloud Infrastructure are also among the planned deployments. NYSE is using Vera in collaboration with HPE and Redpanda for its market infrastructure.

When will Vera-based servers be available?
Vera systems from system builders and cloud partners are expected to be available starting Fall 2026.

What is Vera BlueField-4 STX?
It is a processor that integrates the Vera CPU with high-performance networking, storage acceleration, and in-silicon security, creating a secure-by-design AI-native data platform for storage workloads in AI factories.


Note: Details above are based on NVIDIA’s announcement at GTC Taipei 2026, and are subject to change. Final feature availability, rollout timing, and supported configurations may vary. Verify against NVIDIA’s official channels before relying on any specific detail.

Disclaimer: This post summarizes an NVIDIA product announcement for informational purposes. It is not affiliated with or endorsed by NVIDIA or any manufacturer mentioned.